Somdatta Goswami

Somdatta Goswami is an assistant professor in the Department of Civil and Systems Engineering. She is also a member of JHU’s Institute for Data Intensive Engineering and Science and the Hopkins Extreme Materials Institute, known as HEMI. Her research interests focus on advancing the fields of Scientific Computing, Computational Mechanics, and Machine Learning, encompassing fundamental and applied aspects.

Her work group, Centrum IntelliPhysics, focuses on Scientific Machine Learning, or SciML, and Artificial Intelligence for Science, known as AI4Science), contributing to developing algorithms and architectures tailored to address computational challenges in engineering, physical, and biological systems. She is interested in developing methods to address long-time horizon problems and challenges of coupling scales in multiscale multiphysics material modeling. The group conducts research on developing AI-accelerated numerical simulations to enhance the efficiency and accuracy of these processes.

Goswami’s research has received funding from the Department of Energy. She received the National Science Foundation’s National Artificial Intelligence Research Resource (NAIRR) Pilot and the Johns Hopkins University Discovery Award 2024.

Prior to joining Johns Hopkins faculty in 2024, Goswami was a postdoctoral researcher and then research assistant professor in the Division of Applied Mathematics at Brown University.

Goswami earned her bachelor’s degree in civil engineering from the Birla Institute of Technology, Mesra, India, in 2011. She received her master’s degree in structural engineering from the Indian Institute of Engineering Science and Technology, India, in 2013. Afterwards, she worked as a structural design engineer at Tata Consulting Engineers. Funded by the Deutscher Akademischer Austauschdienst (DAAD), Goswami earned her PhD in civil engineering and structural mechanics from Bauhaus University-Weimar, Germany, in 2020.