Suprateek Kundu, PhD
Department of Biostatistics, Division of Discovery Science
Present Title & Affiliation
Primary Appointment
Associate Professor, Department of Biostatistics, Division of Basic Science Research, The University of Texas MD Anderson Cancer Center, Houston, TX
Dual/Joint/Adjunct Appointment
Associate Professor, Department of Biostatistics & Bioinformatics, Emory University, Atlanta, GA
Education & Training
Degree-Granting Education
| 2012 | University of North Carolina at Chapel Hill, Chapel Hill, NC, USA, PHD, Biostatistics |
| 2008 | Indian Statistical Institute, Kolkata, IND, MS, Statistics |
| 2006 | Presidency College, Kolkata, IND, BS, Statistics & Math |
Postgraduate Training
| 2012-2014 | Postdoctoral Research Associate, Texas A&M University, College Station, TX |
| 2012-2014 | Postdoctoral Research Associate, The University of Texas MD Anderson Cancer Center, Houston, TX |
| 2008-2012 | Research Assistant, Transitional and Clinical Sciences Institute- UNC Chapel Hill, Chapel Hill, NC |
Experience & Service
Faculty Academic Appointments
Director, Division of Data Analytics and Biostatistics Core, Emory University, Atlanta, GA, 2019 - 2021
Associate Editor, Biometrics, Houston, TX, 2019 - Present
Assistant Professor, Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, 2014 - 2021
Postdoctoral Research Associate, Department of Statistics, Texas A&M University, College Station, TX, 2012 - 2014
Research Assistant, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 2008 - 2012
Honors & Awards
| 2019 | Young Statistical Scientist Award, International Indian Statistical Association |
| 2017 | Best Teacher Award, Emory University, Department of Biostatistics |
| 2012 | Distinguished Student Paper Award, Eastern North American Region Conference |
| 2011 | Student Paper Competition Winner for the Section on Bayesian Statistical Science (SBSS), Joint Statistical Meetings |
| 2010 | Satia Scholarship for Innovative Public Health Work in Underdeveloped Areas, School of Public Health, UNC |
| 2008 - 2012 | Reynolds Fellowship for “highest academic potential and the most impressive record of achievement in undergraduate education and work and life experiences", Graduate School, UNC Chapel Hill |
| 2008 | Hardison Scholarship to “outstanding applicant in the Department of Biostatistics to encourage studies in health informatics in the department”, Department of Biostatistics, UNC Chapel Hill |
Grant & Contract Support
| Date: | 2021 - 2026 |
| Title: | Statistical Modeling of Alzheimer's Disease Progression Integrating Brain Imaging and -Omics Data |
| Funding Source: | NIH/NIA |
| Role: | Principal Investigator |
| ID: | 5R01AG071174-04 |
| Date: | 2020 - 2022 |
| Title: | Targeted Proteolysis of Glucocorticoid Receptor (GR) as a Therapeutic Strategy to Enhance Anti-Tumor Immunity |
| Funding Source: | Cancer Prevention & Research Institute of Texas (CPRIT) |
| Role: | Collaborator |
| ID: | RP200532 |
| Date: | 2020 - 2025 |
| Title: | Mechanisms and Vulnerabilities of SWI/SNF chromatin remodeling complex mutant lung cancer |
| Funding Source: | NIH/NCI |
| Role: | Co-Investigator |
| ID: | 5R37CA251629-03 |
| Date: | 2020 - 2024 |
| Title: | Intention Treatment for Anomia: Investigating Dose Frequency Effects and Predictors of Treatment Response to Improve Efficacy and Clinical Translation |
| Funding Source: | NIH/VA |
| Role: | Co-Investigator |
| ID: | 1I01RX003093-01A2 |
| Date: | 2019 - 2026 |
| Title: | Cancer Center Support Grant (CORE) - Biostatistics Resource Group (BRG) |
| Funding Source: | NIH/NCI |
| Role: | Statistician |
| ID: | 5P30CA016672-47 |
| Date: | 2019 - 2024 |
| Title: | Multimodal Neuroimaging: Advanced Tracking of Longitudinal Aphasia Recovery |
| Funding Source: | NIH/VA |
| Role: | Co-Investigator |
| ID: | 1IK2RX002934-01A1 |
| Date: | 2019 - 2023 |
| Title: | Graded Intensity Aerobic Exercise to Improve Cerebrovascular Function and Performance in Aged Veterans |
| Funding Source: | NIH/AV |
| Role: | Co-Investigator |
| ID: | 1I01RX002825-01A2 |
| Date: | 2017 - 2021 |
| Title: | VA IPA Research and Development Program |
| Funding Source: | US Department of Veteran Affairs |
| Role: | Principal Investigator |
| ID: | 508D75011 |
| Date: | 2015 - 2025 |
| Title: | Child Heath and Mortality Prevention Surveillance (CHAMPS) Network |
| Funding Source: | Bill and Melinda Gates Foundation |
| Role: | Co-Investigator |
| ID: | OPP1126780 |
| Date: | 2014 - 2019 |
| Title: | Resources for development and validation of Radiomic analyses & Adaptive Therapy |
| Funding Source: | NIH/NCI |
| Role: | Co-Investigator |
| ID: | 1U01CA187013-01 |
| Date: | 2005 - 2021 |
| Title: | Emory Alzheimer's Disease Center |
| Funding Source: | NIH/NIA |
| Role: | Co-Investigator |
| ID: | 3P50AG025688-15S1 |
Selected Publications
Peer-Reviewed Articles
- Xin Ma and Suprateek Kundu and for the Alzheimer’s Disease Neuroimaging Initiative. Multi-Task Learning with High-Dimensional Noisy Images. Journal of the American Statistical Association:1-14. e-Pub 2022.
- Ma, X., Kundu, S. & Stevens, J.. Semi-parametric Bayes regression with network-valued covariates. Mach Learn 111:3733–3767. e-Pub 2022.
- Kundu S, Ming J, Stevens J. Developing Multimodal Dynamic Functional Connectivity as a Neuroimaging Biomarker. Brain Connect 11(7):529-542, 2021. e-Pub 2021. PMID: 33544014.
- Kundu, S., Ming, J., and Stevens, J.. Dynamic Brain Functional Networks Guided By Anatomical Knowledge. Brain Connectivity 11(7):529-542, 2021. e-Pub 2021.
- Kundu S, Ming J, Nocera J, McGregor KM. Integrative learning for population of dynamic networks with covariates. Neuroimage 236:118181, 2021. e-Pub 2021. PMID: 34022384.
- Kundu S, Risk BB. Scalable Bayesian matrix normal graphical models for brain functional networks. Biometrics 77(2):439-450, 2021. e-Pub 2020. PMID: 32569385.
- Anderson AM, Kundu S, Tang B, Vaida F, Okwuegbuna O, McClernon D, Cherner M, Deutsch R, Cookson D, Crescini M, Grant I, Zetterberg H, Blennow K, Gisslen M, Ellis RJ, Letendre SL. Cerebrospinal fluid CXCL10 is associated with the presence of low level CSF HIV during suppressive antiretroviral therapy. J Neuroimmunol 353:577493, 2021. e-Pub 2021. PMID: 33571816.
- Aldredge A, Roth G, Vaidya A, Paula Duarte A, Kundu S, Zheng Z, Smith BL, Lora M, Gruen J, Sheth AN, Sales JM, Cantos VD. Preexposure prophylaxis care continuum among transgender women at a patient-centered preexposure prophylaxis program in Atlanta, Georgia. AIDS 35(3):524-526, 2021. PMID: 33507011.
- Lukemire J, Kundu S, Pagnoni G, Guo Y. Bayesian Joint Modeling of Multiple Brain Functional Networks. J Am Stat Assoc 116(534):518-530, 2021. e-Pub 2020. PMID: 34262233.
- Krishnamurthy LC, Krishnamurthy V, Rodriguez AD, McGregor KM, Glassman CN, Champion GS, Rocha N, Harnish SM, Belagaje SR, Kundu S, Crosson BA. Not All Lesioned Tissue Is Equal: Identifying Pericavitational Areas in Chronic Stroke With Tissue Integrity Gradation via T2w T1w Ratio. Front Neurosci 15:665707, 2021. e-Pub 2021. PMID: 34421509.
- Xin, M., Kundu, S., and Stevens, J.. Semi-parametric Bayes Regression with Network Valued Covariates. The Machine Learning Journal,, 2021. e-Pub 2021.
- Kundu, S., Min, J., McGregor, K.M., Noecera, J.. Integrative Analysis for Population of Dy- namic Networks with Covariates. NeuroImage 236:118181, 2021. e-Pub 2021.
- Bilbro, C; Merchant, A. A.; Zheng, Z.; Kundu, S.; Chawla, S.. Evaluating the Yield of EGD Performed as Clearance for TEE at Quaternary Referral Center and County Hospital. The American Journal of Gastroenterology 115(p):s259, 2020. e-Pub 2020.
- Li Z, Chang C, Kundu S, Long Q. Bayesian generalized biclustering analysis via adaptive structured shrinkage. Biostatistics 21(3):610-624, 2020. PMID: 30596887.
- Amundson B, Lai L, Mulligan MJ, Xu Y, Zheng Z, Kundu S, Lennox JL, Waldrop-Valverde D, Franklin D, Swaims-Kohlmeier A, Letendre SL, Anderson AM. Distinct cellular immune properties in cerebrospinal fluid are associated with cognition in HIV-infected individuals initiating antiretroviral therapy. J Neuroimmunol 344:577246, 2020. e-Pub 2020. PMID: 32371201.
- Lukemire, J.D., Kundu, S., Pagnoni, G., and Guo, Y.. Bayesian Joint Modeling of Multiple Brain Functional Networks. Journal of the American Statistical Association 116(534):518-530, 2020. e-Pub 2020.
- Krishnamurthy V, Krishnamurthy LC, Drucker JH, Kundu S, Ji B, Hortman K, Roberts SR, Mammino K, Tran SM, Gopinath K, McGregor KM, Rodriguez AD, Qiu D, Crosson B, Nocera JR. Correcting Task fMRI Signals for Variability in Baseline CBF Improves BOLD-Behavior Relationships: A Feasibility Study in an Aging Model. Front Neurosci 14:336, 2020. e-Pub 2020. PMID: 32425745.
- Beret, A., Lai, L., Xu, Y., Zheng, Z., Kundu, S., Lennox, J., Waldrop-Valverde, D., Franklin, D., Letendre, S., Anderson, A.. CSF inflammatory cells are related to cognition and neuronal damage in HIV-infected individuals. Journal of Neuroimmunology 344:577246, 2020. e-Pub 2020.
- Lyles, R. H., Cunningham, S. A., Kundu, S., Bassat, Q., Mandomando, I., Sacoor, C., Akelo, V., Onyango, D., Zielinski-Gutierrez, E., & Taylor, A. W.. Extrapolating sparse gold standard cause of death designations to characterize broader catchment areas. Epidemiologic Methods 9(1):20190031, 2020. e-Pub 2020.
- Krishnamurthy, V., Krishnamurthy, L.C., Drucker, J.H., Kundu, S., Ji, B., Hortman, K., Roberts, S.R., Mammino, K., Tran, S.M., Gopinath, K., McGregor, K.M., Rodriguez, A.D., Qiu, D., Crosson, B., Nocera, J.R.. Neuro-sensitization of language fMRI signals using resting cerebral blood flow measures in an aging model. Frontiers in Neuroscience 14:336, 2020. e-Pub 2020.
- Kundu, S., and Risk, B.,. Bayesian Matrix Normal Graphical Models for Brain Network Estimation. Biometrics:1-12, 2020. e-Pub 2020.
- Kundu S, Lukemire J, Wang Y, Guo Y, Alzheimer’s Disease Neuroimaging Initiative. A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer's Disease Data. Sci Rep 9(1):19589, 2019. e-Pub 2019. PMID: 31863067.
- Hsu D, Chokshi FH, Hudgins PA, Kundu S, Beitler JJ, Patel MR, Aiken AH. Predictive Value of First Posttreatment Imaging Using Standardized Reporting in Head and Neck Cancer. Otolaryngol Head Neck Surg 161(6):978-985, 2019. e-Pub 2019. PMID: 31331239.
- Sule P, Tilvawala R, Mustapha T, Hassounah H, Noormohamed A, Kundu S, Graviss EA, Walkup GK, Kong Y, Cirillo JD. Rapid Tuberculosis Diagnosis Using Reporter Enzyme Fluorescence. J Clin Microbiol 57(12), 2019. e-Pub 2019. PMID: 31511338.
- Kundu, S., Lukemire J., Wang, Y., and Guo, Y. A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer’s Disease Data. Scientific Reports 9:19589, 2019. e-Pub 2019.
- Higgins IA, Kundu S, Choi KS, Mayberg HS, Guo Y. A difference degree test for comparing brain networks. Hum Brain Mapp 40(15):4518-4536, 2019. e-Pub 2019. PMID: 31350786.
- Kundu S, Mallick BK, Baladandayuthapan V. Efficient Bayesian Regularization for Graphical Model Selection. Bayesian Anal 14(2):449-476, 2019. e-Pub 2018. PMID: 33123305.
- Hanna TN, Kundu S, Singh K, Horný M, Wood D, Prater A, Duszak R. Emergency department imaging superusers. Emerg Radiol 26(2):161-168, 2019. e-Pub 2018. PMID: 30443737.
- Kundu, S., and Suthaharan, S.. Privacy-Preserving Predictive Model Using Factor Analysis for Neuroscience Applications,. IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS):67-73, 2019. e-Pub 2019.
- Solis-Lemus, C. S., Ma, X., Hotstetter II, M., Kundu, Peng, Q., Pimental, D.. A Deep Learning Framework for Predicting Functional Markers in Flow Cytometry Data. Statistical Modeling in Biomedical Research - Contemporary Topics and Voices in the Field by Springer Nature. Edited by Yichuan Zhao and Ding-Geng Chen, 2019. e-Pub 2019.
- Kundu S, Ming J, Pierce J, McDowell J, Guo Y. Estimating dynamic brain functional networks using multi-subject fMRI data. Neuroimage 183:635-649, 2018. e-Pub 2018. PMID: 30048750.
- Chang C, Kundu S, Long Q. Scalable Bayesian variable selection for structured high-dimensional data. Biometrics 74(4):1372-1382, 2018. e-Pub 2018. PMID: 29738602.
- Higgins IA, Kundu S, Guo Y. Integrative Bayesian analysis of brain functional networks incorporating anatomical knowledge. Neuroimage 181:263-278, 2018. e-Pub 2018. PMID: 30017786.
- Kundu S, Cheng Y, Shin M, Manyam G, Mallick BK, Baladandayuthapani V. Bayesian variable selection with graphical structure learning: Applications in integrative genomics. PLoS One 13(7):e0195070, 2018. e-Pub 2018. PMID: 30059495.
- Li, Z.,Chang, C., Kundu, S., and Long, Q.. Bayesian Generalized Biclustering Analysis via Adaptive Structured Shrinkage. Biostatistics 21(3):610-624, 2018. e-Pub 2018.
- Chokshi FH, Kang J, Kundu S, Castillo M. Bibliometric Analysis of Manuscript Title Characteristics Associated With Higher Citation Numbers: A Comparison of Three Major Radiology Journals, AJNR, AJR, and Radiology. Curr Probl Diagn Radiol 45(6):356-360, 2016. e-Pub 2016. PMID: 27162149.
- Kundu S, Kang J. Semiparametric Bayes conditional graphical models for imaging genetics applications. Stat (Int Stat Inst) 5(1):322-337, 2016. e-Pub 2016. PMID: 28616224.
- Kundu, S., and Dunson, D.. Latent Factor Models for Density Estimation. Biometrika 101(3):641-654, 2014. e-Pub 2014.
- Kundu, S., and Dunson, D.. Bayesian Variable Selection in Semi-parametric Linear Models. Journal of the American Statistical Association, Theory and Methods 109(505):437-447, 2014. e-Pub 2014.
- Gouskova NA, Kundu S, Imrey PB, Fine JP. Number needed to treat for time-to-event data with competing risks. Stat Med 33(2):181-92, 2014. e-Pub 2013. PMID: 24038032.
Patient Reviews
CV information above last modified August 02, 2024