Welcome, and thank you for visiting my webpage.
I'm a Postdoctoral Research Fellow working with Prof. Naoki Masuda in the Gilbert S. Omenn Department of Computational Medicine and Bioinformatics (DCMB) at the University of Michigan, USA. Prior to joining the University of Michigan, I was a Postdoctoral Research Fellow in the Department of Mathematics at Oklahoma State University, where I was supported by the NSF grant (Award No. DMS-2327844) and advised by Dr. Lucas M. Stolerman.
In general, my research lies at the intersection of network science, mathematical biology, computational biology, and data science. Here, I develop mathematical and computational methods to study complex biological systems by integrating network theory, statistical inference, AI/machine learning, and large-scale genomic, epidemiological, environmental, and biomedical data. My current research interests include genomics, infectious disease dynamics, biological networks, and computational medicine, with the goal of advancing biological discovery through the integration of mathematics and data science and ultimately improving human health.
My interest in this area stems from my dissertation research, which applied mathematical modeling using novel data sources, such as cell phone–based temporal mobility networks, to study infectious disease transmission, under the supervision of Dr. Lucas M. Stolerman. Beyond this, I have worked on forecasting infectious diseases using machine learning (ML) and stochastic modeling. I have also studied how human movement, environmental factors, and demographic changes shape the spread of infectious diseases, including vector-borne, respiratory, emerging, and re-emerging diseases ( e.g., COVID-19, Dengue, Malaria, Mpox, and Influenza).
Please take a look at my list of publications. Please feel free to contact me at haridas@med.umich.edu for my CV, research collaborations, questions about my research, or additional details about my work.
Software Skills and Computer Programming
MATLAB (simulation), Python (data science, spatial mapping, machine learning, & AI modeling), R, Mathematica, QGIS, high-performance computing (supercomputers & GPUs via Google Colab), Adobe Illustrator (figure production).
Check out my Google Scholar, Research Gate, GitHub, LinkedIn, Instagram, Twitter, and Facebook profiles.