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About me:
I'm Haridas Kumar Das, a researcher in infectious disease modeling at the Department of Mathematics, Oklahoma State University, passionate about leveraging mathematics and data to understand and mitigate the spread of epidemics. During my PhD, I focused on the role of human mobility in disease transmission, applying data-driven methods and mathematical models to better understand and prevent the spread of diseases. Additionally, in other projects, I have utilized machine learning and stochastic modeling for forecasting infectious diseases. More broadly, my research focuses on mathematical modeling and data-driven methods for understanding and forecasting the dynamics of infectious diseases, with applications ranging from COVID-19 to dengue and influenza.
Briefly, my work sits at the intersection of mathematics, data science, and public health, integrating mathematical modeling, statistical inference, and machine learning to study how mobility and behavior shape disease dynamics. I am especially committed to applying these approaches to real-world public health challenges, aiming to generate actionable insights that support evidence-based interventions, inform policy decisions, and enhance epidemic preparedness at local and global scales.
Outside of work, I enjoy playing soccer and spending time with my two beautiful daughters, aged 7 and 1.
My Ph.D. mentor Dr. Lucas M. Stolerman, at Oklahoma State University, USA. I obtained B.S. in Mathematics from University of Dhaka (Bangladesh), an M. S. in Pure Mathematics from University of Dhaka (Bangladesh) and an M. Sc. in Mathematics from Concordia Uiversity (Canada). Here is about my mentor, Syed Twareque Ali – in Memoriam at Concordia University.
In 2022 summer, I joined the Math-to-Industry Boot Camp VII (June 20 – July 29, 2022) at the Institute for Mathematics and its Applications, University of Minnesota, Twin Cities as a graduate student advised by Thomas Hoft and Daniel Spirn. I participated in a training on ``Intro to AI-driven Science on Supercomputers: A Student Training Series,'' Argonne Leadership Computing Facility, Argonne National Laboratory, USA, from September 2 to Novemver 8, 2022.
I am organizing a biweekly seminar in the SIAM OSU Student Chapter and co-organizing the study Session in mathematical epidemiology and dynamical systems (main organizer is my advisor Dr. Lucas M. Stolerman) at Oklahoma State University. I am also the president and founder of the SIAM OSU Student Chapter. I am also the main organizer of the 2025 SIAM Central States Section Student Conference (https://tinyurl.com/26ksu3fr) on March 29 at Oklahoma State University. This one-day conference aims to enhance the research communication of nearby universities, especially for junior researchers and graduate students. We welcome students from nearby universities to participate in this conference. There is limited funding to support students and postdoctoral researchers who give a presentation.
I have worked as a faculty member in the Department of Mathematics, University of Dhaka, Bangladesh, and am currently on study leave. I also served as a full-time faculty at United International University (UIU), Bangladesh, for a couple of years.
Research Interests
My current research interests are mainly in Data-driven methods, focusing on epidemic forecasting and mathematical modeling of infectious diseases. In my Ph.D. research, I am focusing on the role of human mobility in epidemics and utilizing human mobility data in the metapopulation model. I have published my work in national and international journals and conferences. See my list of publications.
Software skills and computer programming: MATLAB for simulation, R and Python for Data Science, Mathematica for analytic computation, FORTRAN, Maple, AMPL, C, C+ +.
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