Saumyadipta Pyne – MIDAS

MIDAS

Saumyadipta Pyne

Scientific Director, Public Health Dynamics Laboratory

Education

Affiliations

Public Health Dynamics Laboratory, Graduate School of Public Health, University of Pittsburgh

Projects

EMPOWERING INDIAN HEALTH RESEARCHERS WITH COMPUTATIONAL MODELING TOOLS

FOGARTY INTERNATIONAL CENTER
People: Donald Burke, Saumyadipta Pyne
2017 – 2019

Papers

M. Maleki, G. J. McLachlan, R. Gurewitsch, M. Aruru, S. Pyne. (2020). A Mixture of Regressions Model of COVID-19 Death Rates and Population Comorbidities. Statistics and Applications, 18(1)

S. Pyne, S. Ray, R. Gurewitsch and M. Aruru. (2020). Transition from Social Vulnerability to Resiliency vis-à-vis COVID-19. Statistics and Applications, 18(1)

Qi Y, Fang Y, Sinclair DR, Guo S, Alberich-Jorda M, Lu J, Tenen DG, Kharas MG, Pyne S. (2020). High-speed automatic characterization of rare events in flow cytometric data. PloS one, 15(2)

Sarmistha Das, Pramit Ghosh, Bandana Sen, Saumyadipta Pyne and Indranil Mukhopadhyay. (2020). Critical Community Size for COVID-19: A Model Based Approach for Strategic Lockdown Policy. Statistics and Applications, 18(1)

Khodayari Moez E, Pyne S, Dinu I. (2018). Association between bivariate expression of key oncogenes and metabolic phenotypes of patients with prostate cancer. Computers in Biology and Medicine, (103)

Saumyadipta Pyne, Anile Kumar S. Vullikanti, Madhav V. Marathe. (2015). Big Data Applications in Health Sciences and Epidemiology. Handbook of Statistics, (33)

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