Soumya Goswami currently serves as the Data Scientist for the Rochester Data Science Consortium. In this role, Soumya adds his machine learning and deep learning expertise, statistical knowledge, medical imaging analysis experience to projects involving Parkinson’s Disease Progression Analysis and Modeling.
Soumya obtained his MS degree in Electrical and Computer Engineering (ECE) at University of Rochester in 2019. He is also currently pursuing PhD in ECE (2019-2022 cohort) and MS in Data Science (2020-2021 cohort) at the University of Rochester. His research interests include image analytics, computer vision, ultrasound medical image analytics , machine and deep learning, and natural language processing.
Soumya is the author of three journal publications, and thirteen conference proceedings, in areas related to his current and past research interests.