Somak Dutta

Somak Dutta is an Associate Professor at Iowa State University conducting interdisciplinary research at the intersection of statistical methodology, machine learning, and agricultural sciences. His work addresses critical challenges in plant breeding, genomics, and environmental modeling through innovative quantitative approaches.

His academic foundation includes:

• PhD in Statistics, University of Chicago, 2015
• M.Stat (First Division with Distinction), Indian Statistical Institute, Kolkata, 2010
• B.Stat (Honours with Distinction), Indian Statistical Institute, Kolkata, 2008

Dr. Dutta specializes in developing advanced statistical frameworks for high-dimensional data analysis, Bayesian variable selection, and spatial modeling. His research directly impacts plant breeding programs through applications in phenotyping, haploid induction systems, drought response mechanisms, and genetic architecture studies across key crops including maize, soybean, and mungbean. He also contributes to meteorological science through machine learning applications for severe weather verification.

Analysis of his 2023-2025 publications reveals two dominant research streams: (1) agricultural applications focusing on genomic selection, phenotyping technologies, and stress response modeling in crops, and (2) meteorological innovations applying machine learning to severe thunderstorm wind verification and precipitation forecasting. Both streams demonstrate his signature approach of developing novel statistical methodologies tailored to domain-specific challenges.

No scientific awards were documented in the provided materials.

Information regarding student advising, grant funding, laboratory infrastructure, or collaborative teams was not available in the source documentation.