Sriram Iyengar, PhD

Personal Info

“I amply possess the necessary interdisciplinary training, experience, technology knowledge, and keen motivation for this proposed research. This project is at the convergence of my training, interests, and research in longitudinal data analysis and temporal modeling in biomedicine, as well as a special interest in mental health and disparities in mental health treatment. My training includes MS degree in statistics, and PhD in computer science. Most of my career has been in large academic medical institutions including 8 years as a statistical consultant providing design, and analysis for more than 50 studies in biomedicine and nursing research. In computer science my research was concerned with temporal analysis of computer systems performance using stochastic process modeling. My work in systems biology concerned mathematical modeling of intracellular signaling patterns of disease progression in trauma. In July 2019 I successfully completed an R21 project funded by NIMH/Fogarty in which I was PD/PI, that studied cognitive aspects of mobile tools for early identification of depression and suicide risk. For the last two years I have been providing data science/stochastic modeling leadership and expertise in a research project to understand temporal analysis of longitudinal medication prescribing patterns for depression care with data from a large ambulatory care Electronic Health Record. This work in progress is in collaboration with the Chair of psychiatry at the University of Texas, Houston. The results and the data analytic and visualization methods developed in this study will be used for the proposed research. Summarizing, I have the necessary experience in data science, big data from Electronic Health Record Systems, mathematical/stochastic modeling, collaboration with psychiatrists, as well as experience leading an interdisciplinary team as a PD/PI, for successful completion of this research.
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