Sucharitha Dodamgodage, Lawrence ’57 and Antoinette Delaney Ignite Research Fellow, working in the Department of Mathematics at Clarkson University, recently participated and presented her research work at the prestigious International Congress on Industrial and Applied Mathematics (ICIAM 2023), held in Tokyo, Japan.
Sucharitha Dodamgodage is working with Sumona Mondal, Professor of Mathematics / Co-Director of the MS Applied Data Science Program, Shantanu Sur, Associate Professor of Biology, and Nabendu Pal, Professor of Statistics, Department of Mathematics, University of Louisiana at Lafayette. Sucharitha’s research focuses on microbiome data analysis.
She received a travel grant provided by the National Science Foundation (NSF Grant DMS-2233032) and the Society for Industrial and Applied Mathematics (SIAM) to facilitate her invaluable presence at this one-week-long ICIAM 2023 conference. The purpose of this congress was to bring together leading mathematicians from around the world, exchange ideas, and push the boundaries of mathematical research. According to Prof. Sumona Mondal, “This award is a recognition of our research and Sucharitha’s contribution to the public health and epidemiological studies using large-scale publicly available data. Her participation in ICIAM 2023 will help her advance professionally and will provide her the chance to expand and improve her knowledge in Applied Mathematics.”
“One of the highlights of this event for me was the opportunity to meet mathematics experts in academia, national labs, and industry around the world. I was able to meet and interact with the inventor of MATLAB Cleve Moler, Chief Executive Officer of Society for Industrial and Applied Mathematics (SIAM) Suzanne Weekes, and other notable representatives from the American Mathematical Society (AMS)” says Sucharitha.
Sucharitha’s engagement in ICIAM 2023 was truly exceptional, embodying her commitment to advancing knowledge and fostering collaborative research. She presented an innovative research titled “Interaction effects between risk factors with COVID-19 infection and fatality: An analysis using US-wide data from the pre-vaccination period”.
