My Mission: To develop my capacity in delivering quality teaching and carrying out quality research.
My Favorite quote: "Dream is not the thing you see in sleep but is that thing that doesn't let you sleep." - APJ Abdul Kalam.
Address:
401 Mathematical Sciences,
Stillwater, OK, 74078.
Office:
MSCS 423
Email:
Welcome, and thank you for visiting my webpage.
I'm Haridas Kumar Das, a researcher in infectious disease modeling at the Department of Mathematics, Oklahoma State University (OSU). I use mathematics and data to understand and help control epidemics. My Ph.D. focuses on the role of human mobility in disease transmission, applying data-driven methods and metapopulation models to improve prevention strategies. Beyond this, I have worked on forecasting infectious diseases using machine learning and stochastic modeling. My broader research lies at the intersection of mathematics, data science, and public health—integrating modeling, statistical inference, and AI to analyze and predict disease dynamics. I study how human movement, environmental factors, and population changes influence the spread of diseases, with applications to COVID-19, Dengue, Malaria, Mpox, and Influenza.
My Ph.D. mentor is Dr. Lucas M. Stolerman at OSU, USA. I earned my B.S. in Mathematics and M.S. in Pure Mathematics from the University of Dhaka (Bangladesh), and an M. Sc. in Mathematics from Concordia University (Canada). During my time at Concordia, I was fortunate to be mentored by the late Professor Syed Twareque Ali, whose guidance profoundly influenced my academic journey. Following my M.Sc. from Concordia, I began my faculty role in Fall 2015 at the Department of Mathematics, University of Dhaka, Dhaka, Bangladesh.
To further advance my knowledge and skills, I participated in several professional development programs and intensive training workshops. In the summer of 2022, 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, advised by Thomas Hoft and Daniel Spirn. From September 2 to November 8, 2022, I participated in the ``Intro to AI-driven Science on Supercomputers: A Student Training Series,'' at the Argonne Leadership Computing Facility, Argonne National Laboratory, USA. I also participated in the Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID) in 2023 at the University of Washington, and again in 2024 and 2025 at Emory University. Most recently, I attended the University of Maryland, College Park Summer School: Scientific Machine Learning from August 4–8, 2025.
Earlier, I organized a biweekly seminar for the SIAM OSU Student Chapter and co-organized the study Session in mathematical epidemiology and dynamical systems (main organizer is my advisor, Dr. Lucas M. Stolerman) at OSU. I was also the president and founder of the SIAM OSU Student Chapter from 2023 to 2024 and from 2024 to 2025. I served as the main organizer of the 2025 SIAM Central States Section Student Conference (https://tinyurl.com/26ksu3fr) held on March 29 at OSU.
Research Interests
My current research interests are mainly in Data-driven methods, focusing on epidemic forecasting and mathematical modeling of infectious diseases. Please take a look at my list of publications.
Software Skills and Computer Programming
MATLAB for simulation, R and Python for Data Science, Mathematica for analytic computation, FORTRAN, QGIS, Pytorch, Maple, AMPL, C, C++ .
Check out my Google Scholar, Research Gate, GitHub, LinkedIn, Instagram, Twitter, and Facebook profiles.
