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Public Health Dynamics Seminars

Special PHDL Lecture - April 24, 2017 - Computational Modeling of the Human Immuno-phenome

Saumyadipta Pyne, PhD

Professor, Indian Institute of Public Health, Hyderabad, India

Monday, April 24, 2017
12:00 – 1:00 PM
A521 Crabtree Hall – Pitt Public Health


Platforms to model and predict vulnerabilities and challenges to population health and biosecurity with algorithmic efficiency and robustness play an important role toward strategic preparedness for public health epidemiology, including disease outbreaks, risk management and surveillance. Human immuno-phenotypes provide critical insights into possible disease dynamics and different states of susceptibility and resistance of subpopulations to outbreaks. A platform for rigorous and automated characterization of population immuno-phenotypic diversity using finite mixture models of skewed and heavy-tailed distributions has been created by Dr. Pyne and his research team. Systematic estimation of model parameters allows Dr. Pyne and his team to describe healthy and disease immuno-phenotypes in high-dimensional marker-space and capture the differences therein across cohorts, conditions and time-points. Presently, they are developing integrative data modeling techniques to apply such immuno-phenome information to some key problems in public health.

About the speaker:

Dr. Saumyadipta Pyne is Professor at the Indian Institute of Public Health, Hyderabad, India. Formerly, he was PC Mahalanobis Chair Professor and Head of Bioinformatics in CR Rao Advanced Institute of Mathematics, Statistics and Computer Science. He is also a Remote Research Associate of the Broad Institute of MIT and Harvard University. He is a Ramalingaswami Fellow of the Department of Biotechnology, Government of India, and a former Senior Research Fellow of the Indian Statistical Institute. After receiving his PhD from the State University of New York at Stony Brook, he conducted postdoctoral research at Broad Institute of MIT and Harvard University then worked at the Dana-Farber Cancer Institute, Harvard Medical School. He is the founder Chairman of the Computer Society of India’s Special Interest Group on Big Data Analytics, and also leads the Health Analytics Network. His text, 'Big Data Analytics: Methods and Applications' was published by Springer in 2016. His co-edited 2-volume 'Handbook of Statistics: Disease Modelling and Public Health' will be published by Elsevier in 2017.






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