Gregery T. Buzzard

Professor and Head                                                                                           150 N. University St.

Department of Mathematics                                                                                 West Lafayette, IN

Purdue University                                                                                  

                                                                                                                                 (765) 494-1908




Ph.D. mathematics                           University of Michigan                                                       1995

M.S. mathematics                            Michigan State University                                                   1991

B.S. computer science                      Michigan State University                                                   1989

B.Mus., violin performance              Michigan State University                                                   1989


Professional Experience

Head of Mathematics                       Purdue University                                                   2013-present

Professor of Mathematics                 Purdue University                                                   2010-present

Consultant                                       Gene Network Sciences                                             2005-2009

Director of Cardiac Technology       Gene Network Sciences                                             2004-2005

Associate Professor                         Purdue University                                                      2002-2010

H.C. Wang Assistant Professor         Cornell University                                                     1998-2001

Max Zorn Assistant Professor          Indiana University                                                         1995-98


Visiting Positions

Invited visitor                                  IHES, Bures-sur-Yvette, France                                Spring 2013

Invited visitor                                  Institut Mittag-Leffler                                                 April 2008

Visiting Professor                            Université Paul-Sabatier, Toulouse                            March 2005

Visiting Professor                            Université Paul-Sabatier, Toulouse                               May 2004

Invited visitor                                  IHES, Bures-sur-Yvette, France                              summer 1999

Postdoctoral Fellow                         Mathematical Sciences Research Institute                  spring 1996

Postdoctoral Fellow                         Mathematical Sciences Research Institute                  spring 1995


Fellowships and Awards

Big Ten Academic Leadership Program Fellow                                                                      2017-18

Math Advisors’ Choice Award                                                                                                  2015

Purdue University Fellowship for Study in a Second Discipline                                                    2012

Ruth and Joel Spira Teaching Award                                                                           2004 and 2009

University of Michigan Research Partnership Award                                                                    1994

University of Michigan Regents Fellowship                                                                           1991-94

NSF Dissertation Enhancement Award (for residence at IHES)                                                     1994

NSF Graduate Fellowship                                                                                                   1989-91


Research Interests

Algorithms for uncertainty quantification and reduction

Algorithms for image processing

Mathematical and computational biology

Dynamical systems and their applications

Complex analysis and geometry-several complex variables


Peer-reviewed journal articles


62.    Raha, A., Chakrabarty, A., Raghunathan, V., Buzzard, G.T., Embedding Nonlinear MPC at Ultra High Speed and Extremely Low Power, submitted 2017.





61.    Chakrabarty, A., Rundell, A.E., Zak, S.H., Zhu, F., Buzzard, G.T., Unknown Input Estimation for Nonlinear Systems Using Sliding Mode Observers and Smooth Window Functions, SIAM J. Control Optim., 56(5):3619–3641, 2018.  DOI10.1137/16M1078793

60.    Zhang, S., Song, Z., Godaliyadda, G.M.D.P., Hye Ye, D., Chowdhury, A.U., Sengupta, A., Buzzard, G.T., Bouman, C.A., and Simpson, G.J., Dynamic Sparse Sampling for Confocal Raman Microscopy, Anal Chem., 90(7):4461-4469, 2018. DOI: 10.1021/acs.analchem.7b04749.

59.    Buzzard, G.T., Chan, S.H., Sreehari, S., and Bouman, C.A., Plug-and-Play Unplugged:  Optimization Free Reconstruction Using Consensus Equilibrium, SIAM J. Imag. Sci., 11(3):2001-2020, 2018.  DOI:10.1137/17M1122451

58.    Buzzard, G.T., McGee, R.L., Maximally Informative Next Experiments for Nonlinear Models, Mathematical Biosciences, 302:1-8, 2018, DOI:10.1016/j.mbs.2018.04.007, 2018.

57.    Buzzard, G.T., Chambolle, A., Cohen, J.D., Levine, S.E., Lucier, B.J., Pointwise Besov Space Smoothing of Images, J Math Imaging Vis, 20 pages, 2018. DOI:10.1007/s10851-018-0821-1

56.    Chakrabarty, A., Fridman, E., Zak, S.H., Buzzard, G.T., State and Unknown Input Observers for Nonlinear Systems with Delayed Measurements, Automatica, 95:246-253, 2018. DOI: 10.1016/j.automatica.2018.05.036

55.    Borgonovo, E., Buzzard, G.T., Wendell, R., A Global Tolerance Approach to Sensitivity Analysis in Linear Programming, Eur. J. Oper. Res., 267(1):321-337, 2018. DOI: 10.1016/j.ejor.2017.11.034

54.    Godaliyadda, G.M., Hye Ye, D., Uchic, M.D., Groeber, M.A., Buzzard, G.T., and Bouman, C.A. A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS), IEEE Trans. Computational Imaging, 4(1):1-16, 2018.  DOI: 10.1109/TCI.2017.2777482.

53.    Rehrauer, O., Dinh, V.C., Mankani, B.R., Buzzard, G.T., Lucier, B.J., Ben-Amotz, D., Binary Complementary Filters for Compressive Raman Spectroscopy, Appl. Spectrosc, 72(1):69-78, 2018. DOI: 10.1177/0003702817732324.

52.    Chakrabarty, A., Corless, M., Buzzard, G.T., Zak, S.H., Rundell, A.E., State and Unknown Input Observers for Nonlinear Systems with Bounded Exogenous Inputs, IEEE Trans. Autom. Control., 62(11):  5497-5510, 2017.  DOI:  10.1109/TAC.2017.2681520

51.    Sreehari, S., Venkatakrishnan, S.V., Wohlberg, B., Buzzard, G.T., Drummy, L.F., Simmons, J.P., Bouman, C.A., Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation, IEEE Trans. Comput. Imaging, 2(4), 408-423, 2016.  DOI:  10.1109/TCI.2016.2599778

50.    Scarborough, N.M., Godaliyadda, D.H.Y., Kissick, D.J., Zhang, S., Newman, J.A., Sheedlo, M.J., Chowdhury, A., Fischetti, R.F., Das, C., Buzzard, G.T., Bouman, C.A., Simpson, G.J., Dynamic X-ray Diffraction Sampling for Protein Crystal Positioning, J. Synchrontron Radiat., 24, 188-195, 2017.  DOI:  10.1107/S160057751601612X

49.    Chakrabarty, A., Buzzard, G.T., Zak, S.H., Output-Tracking Quantized Explicit Nonlinear Model Predictive Control Using Multi-Class Support Vector Machines, IEEE Trans. Ind. Electron., 64(5), 4130 – 4138, 2017.  DOI: 10.1109/TIE.2016.2638401

48.    Dinh, V., Rundell, A.E., and Buzzard, G.T., Convergence of the Griddy-Gibbs sampling method, J. Statist. Comput. Simulation, 87(7), 1379-1400, 2017. DOI:  10.1080/00949655.2016.1264399

47.    Chakrabarty, A., Dinh, V., Corless, M., Rundell, A.E., Zak, S.H., Buzzard, G.T., Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences, IEEE Transactions on Automatic Control, 62(1):  135-148, 2016.

46.    Rehrauer, O., Mankani, B.R., Buzzard, G.T., Lucier, B.J., Ben-Amotz, D., Fluorescence modeling for optimized-binary compressive detection Raman spectroscopy, Optics Express, 23(18): 23935-51. doi: 10.1364/OE.23.023935, 2015.

45.    Mdluli, T., Buzzard, G.T., Rundell, A.E., Efficient Optimization of Stimuli for Model-based Design of Experiments to Resolve Dynamical Uncertainty, PLOS Computational Biology, 11(9): e1004488, doi: 10.1371/journal.pcbi.1004488, 2015.

44.    Beccacece, F., Borgonovo, E., Buzzard, G., Cillo, A., Zionts, A., Elicitation of multiattribute value functions through high dimensional model representations: Monotonicity and interactions, Eur. J. Op. Res., 246(2), 517-527, DOI: 10.1016/j.ejor.2015.04.042, 2015.

43.    McGee, R.L., Krisenko, M.O., Geahlen, R.L., Rundell, A.E., Buzzard, G.T,. A Computational Study of the Effects of Syk Activity on B Cell Receptor Signaling Dynamics. Processes, 3(1):75-97, 2015.

42.    Perley, J.P., Mikolajczak, J., Buzzard, G.T., Harrison, M.L., Rundell, A.E., Resolving Early Signaling Events in T-Cell Activation Leading to IL-2 and FOXP3 Transcription. Processes, 2(4):867-900, 2014.

41.    Dinh, V., Rundell, A.E., and Buzzard, G.T., Effective Sampling Schemes for Behavior Discrimination in Nonlinear Systems, Int. J. Uncertainty Quantification, 4(6); 535-554, 2014.

40.    Pargett, M., Rundell, A.E., Buzzard, G.T., Umulis, D.M., Model-based analysis for qualitative data: An application in Drosophila germline stem cell regulation, PLoS Comput Biol, 10(3): e1003498. doi:10.1371/journal.pcbi.1003498, 2014.

39.    Perley, J., Mikolajczak, J., Harrison, M., Buzzard, G.T., Rundell, A.E., Multiple Model-Informed Open-Loop Control of Uncertain Intracellular Signaling Dynamics, PLoS Comput Biol, 10(4): e1003546. doi:10.1371/journal.pcbi.1003546, 2014.

38.    Dinh, V., Rundell, A.E., and Buzzard, G.T., Experimental design for dynamics identification of cellular processes, Bull. Mathematical Biology, 76; 597-626, 2014.

37.    Wilcox, D.S., Buzzard, G.T., Lucier, B.J., Rehrauer, O.G, Wang, P., and Ben-Amotz, D., Digital Compressive Chemical Quantitation and Hyperspectral Imaging, Royal Society Chem, Analyst, 138(17); 4982-4990, 2013.  doi: 10.1039/C3AN00309D

36.    Buzzard, G.T., Efficient basis change for sparse-grid interpolating polynomials with application to T-cell sensitivity analysis, Computational Biology Journal, Article ID 562767, 10 pages, 2013. doi: 10.1155/2013/562767

35.    Wilcox, D.S., Buzzard, G.T., Lucier, B.J., Wang, P., and Ben-Amotz, D., Photon Level Chemical Classification using Digital Compressive Detection, Analytica Chimica Acta, (755); 17-27, 2012.  doi: 10.1016/j.aca.2012.10.005.

34.    Lee, R.S., Buzzard, G.T., and Meckl, P., Optimal parameter estimation for long-term prediction in the presence of model mismatch, ASME J. Dyn. Sys. Meas. Control, 134(4), 041010 (16 pages), 2012.

33.    Noble, S.L., Wendel, L.E., Donahue, M.M., Buzzard, G.T., and Rundell, A. E., Sparse-grid-based adaptive model predictive control of HL60 cellular differentiation, IEEE Trans. Biomedical Eng.,  59(2); 456-463, 2012.

32.    Karim, M.S., Buzzard, G.T., Umulis, D.M., Secreted, receptor-associated BMP regulators reduce stochastic noise intrinsic to many extracellular morphogen distributions, J. Royal Soc. Interface, 9(70); 1073-83, 2012.

31.    Bazil, J.N., Buzzard, G.T., Rundell, A.E., A global, parallel, model-based design of experiments method to minimize model output uncertainty, Bull. Math. Biol., 74(3); 688-716, 2011.

30.    Buzzard, G.T., Global sensitivity analysis using sparse grid interpolation and polynomial chaos, Reliability Eng. and Sys. Safety, 107 (SAMO 2010); 82-89, 2012.

29.    Donahue, M.M., Buzzard, G.T., and Rundell, A.E., Experiment design through dynamical characterization of systems biology models utilizing sparse grids, IET Systems Biology, 4(4); 249-262, 2010.

28.    Bazil, J.N., Buzzard, G.T., and Rundell, A.E., A bioenergetic model of the mitochondrial population undergoing permeability transition, J. Theor. Biol., 265(4); 672-690, 2010.

27.    Buzzard, G.T. and Xiu, D., Variance-based global sensitivity analysis using sparse-grid interpolation and cubature, Comm. Comp. Phys., 9(3); 542-567, 2011.

26.    Bazil, J.N., Buzzard, G.T., and Rundell, A.E., Modeling mitochondrial bioenergetics with integrated volume dynamics, PLoS Comput. Biol., 6(1): e1000632, 2010.

25.    Donahue, M.M., Buzzard, G.T., and Rundell, A.E., Parameter Identification with Adaptive Sparse Grid-based Optimization for Models of Cellular Processes, in Methods in Bioengineering: Systems Analysis of Biological Networks, A. Jayaraman and J. Hahn, Eds.  Boston/London: Artech House, 211-232, 2009.

24.    Zhou, Q.,  Zygmunt, A.C., Cordeiro, J.M., Siso-Nadal, F., Miller, R.E., Buzzard G.T., and Fox, J.J., Identification of IKr Kinetics and Drug Binding in Native Myocytes, Annals of Biomedical Engineering, 37(7); 1294-1309, 2009.  DOI: 10.1007/s10439-009-9690-5

23.    Fox, J.J., Buzzard, G.T., Miller, R., and Siso-Nadal, F., Massively parallel simulation of cardiac electrical wave propagation on Blue Gene, Parallel Computing: Architectures, Algorithms and Applications, C. Bischof, M. Bücker, P. Gibbon, G.R. Joubert, T. Lippert, B. Mohr, F. Peters (Eds.), John von Neumann Institute for Computing, Jülich, NIC Series, Vol. 38, pp. 609-616, 2007.  Reprinted in: Advances in Parallel Computing, Volume 15, (IOS Press), 2008.

22.    Buzzard, G.T., and Jenkins, A., Holomorphic motions and structural stability for polynomial automorphisms of C2, Indiana U. Math. J., 57(1); 277-308, 2008.

21.    Buzzard, G.T., Fox, J.J., and Siso, F., Sharp interface and voltage conservation in the phase field method:  Application to cardiac electrophysiology, SIAM J. Sci. Comp., 30(2); 837-854, 2008.

20.    Rand, D.G., Zhou, Q., Buzzard, G.T., and Fox, J.J., Computationally efficient strategy for modeling the effect of ion current modifiers, IEEE Trans. BME, 55(1); 3-13, 2008.

19.    Buzzard, G.T., Hruska, S., and Ilyashenko, Y., Kupka-Smale Theorem for polynomial automorphisms of C2 and persistence of heteroclinic intersections, Invent. Math., 161(1); 45-89, 2005.

18.    Zheng, Y., Balakrishnan, V., Buzzard, G.T., Geahlen, R., Harrison, M., and Rundell, A., Modeling and analysis of early events in T-lymphocyte antigen-activated intracellular-signaling pathways, J. Comp. Appl. Math., 184(1); 320-341, 2005.

17.    Buzzard, G.T., and Merenkov, S., Maps conjugating holomorphic maps in Cn, Indiana U. Math J., 52; 1135-1146, 2003.

16.    Buzzard, G.T., Tame sets, dominating maps, and complex tori, Trans. AMS, 355(6); 2557-2568, 2003.

15.    Buzzard, G.T., and Verma, K., Hyperbolic automorphisms and holomorphic motions in C2, Michigan Math. J., 49(3); 541-565, 2001.

14.    Buzzard, G.T., and Lu, S.Y., Double sections, dominating maps, and the Jacobian fibration, Amer. J. Math., 122(5); 1061-1084, 2000.

13.    Buzzard, G.T., Extensions of Hénon maps to the closed 4-ball, Ergodic Theory Dynam. Systems, 20(5); 1319-1334, 2000.

12.    Buzzard, G.T., and Hubbard, J.H., A Fatou-Bieberbach domain avoiding a neighborhood of a variety of codimension 2, Math. Ann., 316(4); 699-702, 2000.

11.    Buzzard, G.T., and Forstneric, F., An interpolation theorem for holomorphic automorphisms of Cn, J. Geom. Anal., 10(1); 101-108, 2000.

10.    Buzzard, G.T., and Lu, S.Y., Algebraic surfaces holomorphically dominable by C2, Invent. Math., 139(3); 617-659, 2000.

9.    Buzzard, G.T., Nondensity of stability for polynomial automorphisms of C2, Indiana Univ. Math. J., 48(3); 857-865, 1999.

8.    Buzzard, G.T., Kupka-Smale theorem for automorphisms of Cn, Duke Math. J., 93(3); 487‑503, 1998.

7.    Buzzard, G.T., and Smillie, J., Complex dynamics in several variables, (expository paper), in Flavors of Geometry, Cambridge Univ. Press, Cambridge, 1997.

6.    Buzzard, G.T., and Forstneric, F., A Carleman type theorem for proper holomorphic embeddings, Ark. Mat., 35(1); 157-169, 1997.

5.    Buzzard, G.T., Infinitely many periodic attractors for holomorphic maps of 2 variables, Annals of Math., 145(2); 389-417, 1997.

4.    Buzzard, G.T., and Fornaess, J.E., Compositional roots of Hénon maps, in Geometric Complex Analysis, ed. by J. Noguchi, et al., World Scientific Publ. Co., Singapore, pp. 67‑73, 1996.

3.    Buzzard, G.T., and Fornaess, J.E., An embedding of C in C2 with hyperbolic complement, Math. Ann., 306(3); 539-546, 1996.

2.    Buzzard, G.T., and Fornaess, J.E., Complete holomorphic vector fields and time-1 maps, Indiana U. Math. J., 44(4); 1175-1182, 1995.

1.    Buzzard, G.T., Stably intersecting Julia sets of polynomials, C R. Acad. Sci. Paris, Ser. I Math., 317(11); 1013-1018, 1993.



Conference proceedings and expository articles (refereed)

23.    Almansouri, H., Venkatakrishnan, S.V., Buzzard, G.T., Bouman, C.A., Santos-Villalobos, H., Deep Neural Networks for Non-Linear Model-Based Ultrasound Reconstruction, GlobalSIP, 2018.

22.    Hye Ye, D., Buzzzard, G.T., Ruby, M., Bouman, C.A., Deep Back Projection for Sparse-View CT Reconstruction, GlobalSIP, 2018.   

21.     Scarborough, N.M., Godaliyadda, D.H.Y., Ye, D., Kissick, D.J., Zhang, S., Newman, J.A., Sheedlo, M.J., Chowdhury, A., Fischetti, R.F., Das, C., Buzzard, G.T., Bouman, C.A., Simpson, G.J., Synchrotron x-ray diffraction dynamic sampling for protein crystal centering, Computational Imaging Conference, IS&T Electronic Imaging 2017. 

20.     Raha, A., Chakrabarty, A., Raghunathan, V., Buzzard, G.T., Ultrafast Embedded Explicit Model Predictive Control for Nonlinear Systems, American Control Conference (ACC), 2017.  DOI: 10.23919/ACC.2017.7963632

19.    Zak, S.H., Chakrabarty, A., Buzzard, G.T., Unknown Input Estimation Using Sliding Mode Observers for Nonlinear Systems Characterized by Incremental Multiplier Matrices, American Control Conference (ACC), 2017.  DOI: 10.23919/ACC.2017.7963632 

18.    Majee, S., Ye, D.H., Buzzard, G.T., Bouman, C.A., A Model Based Neuron Detection Approach Using Sparse Location Priors, Computational Imaging Conference, IS&T Electronic Imaging 2017.

17.    Zhang, H., Chakrabarty, A., Ayoub, R., Buzzard, G.T., Sundaram, S., Sampling-based Explicit Nonlinear Model Predictive Control for Output Tracking, 55th IEEE Conference on Decision and Control, Las Vegas, 2016.

16.    Chakrabarty, A., Buzzard, G.T., Fridman, E., Zak, S.H., Unknown Input Estimation via Observers for Nonlinear Systems with Measurement Delays, 55th IEEE Conference on Decision and Control, Las Vegas, 2016.

15.    Chakrabarty, A., Sundaram, S., Corless, M., Buzzard, G.T., Zak, S.H., Rundell, A.E., Distributed Unknown Input Observers for Interconnected Nonlinear Systems: Application to Gene Regulatory Networks, ACC 2016, Boston, MA.

14.    Chakrabarty, A., Corless, M., Buzzard, G.T., Zak, S.H., Rundell, A.E., Sufficient Conditions for Exogenous Input Estimation in Nonlinear Systems, ACC 2016, Boston, MA.

13.    Sai, A., Mdluli, T., Rundell, A.E., Buzzard, G.T., Nexperiment: User Friendly Model-based Design of Experiments Software, BMES 2015, Tampa FL.

12.    Mdluli, T.; Pargett, M.; Buzzard, G.T.; Rundell, A.E., Specifying informative experiment stimulation conditions for resolving dynamical uncertainty in biological systems, Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE , pp. 298-301, Aug. 2014 doi: 10.1109/EMBC.2014.6943588

11.    Chakrabarty, A., Buzzard, G.T, Corless, M.J., Zak, S.H., and Rundell, A.E., Correcting Hypothalamic-Pituitary-Adrenal Axis Dysfunction Using Observer-based Explicit Model Predictive Control, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’14) Chicago, IL, August 2014; 2014:3426-9. DOI: 10.1109/EMBC.2014.6944359

10.    Dilshan Godaliyadda, G.M.; Buzzard, G.T.; Bouman, C.A., A model-based framework for fast dynamic image sampling, Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, pp.1822-1826, 4-9 May 2014. doi: 10.1109/ICASSP.2014.6853913

9.      Chakrabarty, A.; Dinh, V.; Buzzard, G.T.; Zak, S.H.; Rundell, A.E., Robust explicit nonlinear model predictive control with integral sliding mode, American Control Conference (ACC), 2014, pp.2851-2856, June 2014.  doi: 10.1109/ACC.2014.6859143.

8.      Chakrabarty, A., Buzzard, G.T. and Rundell, A.E., Model-based design of experiments for cellular processes, Wiley Interdiscip Rev Syst Biol Med., 2013 Jan 4. doi: 10.1002/wsbm.1204.

7.      Buzzard, G.T. and Lucier, B.J., Optimal filters for high-speed compressive detection in spectroscopy Proc. SPIE 8657, Computational Imaging XI, 865707 (February 14, 2013); doi:10.1117/12.2012700. 

6.      J.P. Perley, J. Mikolajczak, V.C. Dinh, M.L. Harrison, G.T. Buzzard, and A.E. Rundell, Systematically Manipulating T-Cell Signaling Pathway Dynamics via Multiple Model Informed Open-Loop Controller Design, 2012 IEEE 51st Annual Conference on Decision and Control (CDC), pp.380—385, Dec. 2012.  doi: 10.1109/CDC.2012.6426023

5.      Buzzard, G.T., Model-based experiment design, initiation.  In Springer Encyclopedia of Systems Biology,

4.      Karim, M.S., Umulis, D.M, and Buzzard, G.T., Steady state probability approximation applied to stochastic model of a biological network, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS’11).

3.      Noble, S.L., Buzzard, G.T., and Rundell, A.E., Feasible parameter space characterization with adaptive sparse grids for nonlinear systems biology models, American Control Conference Proceeding, O’Farrell Street, San Francisco, CA, 2011.

2.      Buzzard, G.T., Changkuon, D., Donahue, M.M., and Rundell, A.E., Applications of sparse grid interpolation: sensitivity analysis and experiment design, Procedia - Social and Behavioral Sciences, 2(6), 2010, 7623-7624,

1.      Donahue, M.M., Buzzard, G.T., and Rundell, A.E., Robust parameter identification with adaptive sparse grid-based optimization for nonlinear systems biology models, in 2009 American Control Conference Proceedings, Hyatt Regency Riverfront, St. Louis, MO, USA, 2009.




1.      Ben-Amotz, D., Lucier, B.J., Buzzard, G.T., Wilcox, D., Wang, P., Mankani, B., Optical Chemical Classification, U.S. Patent No. 9,476,824 B2, 2016. 


Selected Lectures

30.    SIAM Conference on Imaging Science, Bologna, Italy, 2018. 

29.    Electronic Imaging 2017, San Francisco, CA, 2017.

28.    Electronic Imaging 2016, San Francisco, CA, 2016.

27.    FOSBE (Foundations of Systems Biology in Engineering), Cambridge, MA, 2015.

26.    National Science (Vijyoshi) Camp, Bangalore and Kolkata, India, 2014.    

25.    SIAM Conference on Uncertainty Quantification, Savannah, GA, 2014.

24.    SIAM Control Theory Workshop, San Diego, 2013. 

23.    Università di Milano-Bicocca, Milan, Italy, 2013.

22.    Università Bocconi, Milan, Italy, 2013.

21.    Institut des Hautes Etudes Scientifiques, Bures-sur-Yvette, France, 2013. 

20.    INFORMS 2011 Annual Meeting, Charlotte, NC, 2011.

19.    6th International Conference on Sensitivity Analysis of Model Output, Milan, Italy, 2010.

18.    SIAM Conference on Computational Science and Engineering, Miami, 2009.

17.    NORDAN conference, Aland, Finland, 2008.

16.    Spring Topology and Dynamics Conference, Milwaukee, Wisconsin, 2008.

15.    Banach Center Conference: Complex Function Theory, Warsaw, Poland, 2007. 

14.    AMS Winter Central Section Meeting, Oxford, OH, 2007.

13.    Midwest Several Complex Variables Conference, Ann Arbor, MI, 2007.

12.    AMS Spring Central Section Meeting, Notre Dame, IN, 2006.

11.    Analysis seminar, Université Paul-Sabatier, Toulouse, 2005.

10.    Analysis seminar, Université Paul-Sabatier, Toulouse, 2004.

9.    Workshop on Complex Dynamics, IHP, Paris, France, 2004.

8.    Midwest Several Complex Variables Conference, London, Ontario, Canada, 2004.

7.    Analysis seminar, University of Illinois, 2003.

6.    Midwest Workshop on Dynamics in SCV, Bloomington, IN, 2002.

5.    Conference on Complex Dynamics and Pluripotential Theory, Luminy, France, 2001.

4.    Ph.D. Euroconference on Complex Analysis and Holomorphic Dynamics, Platja d’Aro, Spain, 2000.

3.    Special Semester on Complex Dynamics in Several Variables, Sc. Norm. Sup., Pisa, Italy, 1999.

2.    Hayama Symposium on Several Complex Variables, Hayama, Japan, 1998.

1.    4th Quadriennial Intl. Conference on Dynamical Systems, IMPA, Rio de Janeiro, Brazil, 1997.


Seminar talks have been given at the following institutions:  Michigan State, Univ. of Michigan, MSRI (Mathematical Sciences Research Institute), Indiana Univ., Cornell Univ., Purdue Univ., Univ. of Wisconsin-Madison, Univ. of Wisconsin-Milwaukee, Univ. of Chicago, Univ. de Paris-Sud(Orsay), Univ. Paul-Sabatier (Toulouse), SUNY Stony Brook, SUNY Albany, Univ. of Illinois, Wabash College, Toyama Univ. (Japan), IMPA (Rio de Janeiro), Univ. of Wuppertal (Germany), Univ. of Washington, Georgia Institute of Technology, Mt. Holyoke, Univ. of Arizona, Univ. of Nebraska, Sup’Biotech, Paris, University of Georgia, IUPUI, Valparaiso University.


Conferences Organized

8.     Computational Imaging XVII, Burlingame, CA, 2019.

7.     Approximation Theory and Machine Learning, West Lafayette, Indiana, 2018.

6.     Model-based analysis and control of cellular processes, West Lafayette, Indiana, 2012.

5.     Midwest Several Complex Variables Conference, West Lafayette, Indiana, 2009 (IMA supported).

4.     Dynamical systems in physiological modeling, West Lafayette, Indiana, 2008 (IMA supported).

3.     Midwest Several Complex Variables Conference, Bloomington, Indiana, 1997.

2.     Midwest Complex Dynamics Workshop, Bloomington, Indiana, 1997.

1.     Midwest Several Complex Variables Conference, Ann Arbor, Michigan, 1996.


Research Funding

Agency:  National Science Foundation

Grant title: CIF: Medium: Multi-Agent Consensus Equilibrium: Modular Methods for Integrating Disparate Sources of Expertise, NSF CCF-1763896

Total award:  $1,264,000

Duration: 06/01/18-05/31/22

PI:  Charles Bouman; co-PIs:  G. Buzzard, S. Chan, G. Simpson


Agency:  National Science Foundation

Grant title: Robust reconstruction techniques for nonuniformly sampled data, NSF DMS-1318894

Total award:  $155,968

Duration: 08/01/13-07/31/17

PI:  Ben Adcock, Gregery T. Buzzard (substitute PI)


Agency:  Schlumberger Technology Corporation

Grant title:  Contamination Monitoring Algorithm, Mathematical Modeling and Algorithms

Duration: 02/01/14-06/30/14

Total award:  $18,913

PI:  Gregery T. Buzzard

Agency:  Office of Naval Research

Grant title:  Digital Compressive Detection Spectroscopy: Theoretical Optimization and Experimental Implementation, N00014-13-1-0394

Duration:  04/01/13-08/31/16

Total award:  $397,609

PI: Bradley J. Lucier; co-PIs:  G. Buzzard, D. Ben-Amotz


Agency:  National Science Foundation

Grant title:  Quantitative Design of Experiments to Predictably Alter Intercellular Signaling Dynamics, DMS-0900277

Duration:  09/01/09-08/31/13

Total award:  $1,216,337

PI:  Ann Rundell; co-PIs:  G. Buzzard, M. Harrison


Agency:  Purdue University Ralph W. and Grace M. Showalter Research Trust

Grant title:  Live Imaging and Computational Analysis of Bone Morphogenetic Proteins in Drosophila Embryos

Duration:  07/01/09 – 07/30/10

Total award:  $75,000

PI:  David Umulis; co-PI: G. Buzzard


Agency:  National Science Foundation

Grant title:  Purdue Scholarship Program in Quantitative Physiology, DUE-0728668

Duration:  01/01/08 – 12/31/10

Total award:  $600,000

PI:  Edward Bartlett; (multiple co-PIs)


Agency:  National Institutes of Health (National Heart, Lung, and Blood Institute)

Grant title: Data Collection & Integration in Cardiac Risk Assessment, 1 R43 HL081687-01

Duration:  08/01/05 – 01/31/07

Total award:  $137,800

PI:  Gregery Buzzard


Agency:  National Science Foundation

Grant title: Computational Modeling of Cardiac Electrical Response, DMS-0408293

Duration:  09/01/04 – 01/31/07

Total award:  $100,000

PI:  Gregery Buzzard


Agency:  National Science Foundation

Grant title:  Mathematical Sciences Postdoctoral Research Fellowship

Duration:  09/01/98 – 08/31/02

Total award:  $90,000

PI:  Gregery Buzzard


Agency:  National Science Foundation

Grant title:  Complex Dynamics and Classification of Algebraic Surfaces

Duration:  06/01/97 – 05/31/99

Total award:  $40,000

PI:  Gregery Buzzard



Ph.D. and REU Students (all at Purdue University)

Philip Mummert, Ph.D. Mathematics, 2007.

Lisa Driskell, Ph.D. Mathematics, 2010.

Jason Bazil, Ph.D. Biomedical Engineering (joint with Ann Rundell), 2010.

Ryan Sang Jun Lee, Ph.D. Mechanical Engineering (joint with Peter Meckl), 2011.

Vu Dinh, Ph.D. Mathematics, 2014.

Reginald McGee, Ph.D. Mathematics, 2015. 

Thembi Mdluli, Ph.D, Biomedical Engineering (joint with David Umulis), 2017.

G.M. Dilshan P. Godaliyadda, Ph.D., Elec. and Computer Eng. (joint with Charles Bouman), 2017.

Soumendu Majee, Ph.D. candidate, Elec. and Computer Eng. (joint with Charles Bouman). 

Emma Reid, Ph.D. candidate, Mathematics (joint with Charles Bouman). 

Max Ruby, Ph.D. candidate, Mathematics (joint with Charles Bouman).    

Alex Carignan, Ph.D. candidate, Mathematics (joint with Charles Bouman). 


Vanda Johnson, REU student, summer 2014.




Purdue Mathematics Department

Organizer, Geometric Analysis Seminar                                                                            2002-04

Interdisciplinary course development                                                                           Spring 2006

Advanced Services Committee                                                                                          2007-08

Undergraduate Committee                                                                                                2003-11

Scholarship Committee                                                                                                     2005-12

Scholarship Committee Chair                                                                                            2006-12

Computer Committee                                                                                                       2006-12

Teaching load committee                                                                                                  2007-09

Founder and organizer, applied math lunch seminar                                                            2007-12

Graduate committee                                                                                                         2008-12

Calculus, promotions, and head search committees                                                             2010-11

CCAM director search committee                                                                                           2011

Head of Department                                                                                                   2013-present

Purdue College of Science (CoS)

College of Science Cluster Hire Committee                                                                       2002-03

Research presentation to President Cordova                                                                            2009

Research presentation to CoS Alumni                                                                            2010, 2011

MLK Day activities organization: Diversity Forum and Colloquium                                    2014-15

Purdue University

University Residence Hall Faculty Fellow                                                              2002-3, 2014-15

ADVANCE-Purdue Council of Department Heads                                                             2013-15

ADVANCE-Purdue Diversity Steering Committee                                                      2015-present

ADVANCE-Purdue Hiring Workshop Facilitator                                                        2017-present

Faculty advisor, Purdue Aikido Club                                                                           2012-present

Data Science Research Working Group Member                                                                     2017

Mathematics Profession

Editorial Board Member, MDPI Processes                                                                  2016-present

F-GAP mentor for the National Alliance for Doctoral Studies in Mathematics               2015-present

External Review Committee, University of Cincinnati Mathematics                                          2016

External Review Committee, University of Nebraska Mathematics                                           2014


Brief Research Description

Professor Buzzard’s current research focuses on measurement and reconstruction algorithms in imaging.  Other recent work includes topics in cellular signaling networks and Raman spectroscopy, with earlier work on dynamics in several complex variables.  The underlying unifying ideas are methods and algorithms for uncertainty quantification and reduction of uncertainty through appropriate measurement schemes.  In conjunction with a number of collaborators, his work in these areas has led to theoretical advances in the construction of surrogate functions and the use of such functions for sensitivity analysis and experiment design, to extensions of the classical theory of optimal design of experiment, and to new algorithms for supervised classification.  These theoretical advances have fueled a wide variety of applications, including novel experiment design and control methods for cellular-level control of immune cell response, a Raman spectroscopy system that significantly outperforms previous methods in the high-speed regime, and an adaptive approach for sampling images that forms the basis for algorithms for electron microscopy and other imaging modalities. 


Selected Accomplishments as Department Head (2013-present)

Faculty Development:

Oversaw the successful nomination of 4 new AMS Fellows, a Sloan Fellow, the Purdue Dreamer Award, and many other faculty awards. 

Hired 18 tenured/tenure track faculty members in 5 years. 

Reduced the standard teaching assignment for full professors from 4 to 3.5 courses per year.

Oversaw successful promotion cases for 11 faculty members. 

Educational mission:

Oversaw the conversion of 4 foundational math courses to use an open-source, online platform for text and homework.

Coordinated the introduction and development of a Quantitative Reasoning course. 

Coordinated and funded the renovation of the Math Help Rooms. 

Increased summer enrollment by offering and promoting appropriate courses. 


Coordinated the relocation of the National Math Alliance to Purdue:, 2016.

Achieved inclusion in the AMS Mathematics Programs that Make a Difference (effective May 2017). 

Coordinated the forum and lecture by Margot Lee Shetterly, author of Hidden Figures, 2017.

Coordinated the College of Science MLK Diversity Forum and Colloquium, 2015. 

Served on the ADVANCE Purdue Steering Committee and as hiring workshop facilitator and on interview teams, 2014-present.