STT Ph.D. candidates Jantre and Samaddar selected for National Science Foundation graduate internships
STT Ph.D. candidates Sanket Jantre and Anirban Samaddar were selected for competitive internship positions with the National Science Foundation (NSF) Mathematical Sciences Graduate Internship (MSGI) program for summer 2021.
Sanket Jantre will join Los Alamos National Laboratory in New Mexico to work on an interdisciplinary project to develop a Bayesian deep learning architecture for detecting small deformations in radar satellite imagery. He will be exploring probabilistic deep learning methods that can push Interferometric Synthetic Aperture Radar (InSAR) data analysis towards reliable automation at a global scale.
“Sanket was trained in the Indian Institute of Technology, Kanpur, India, before coming to Michigan State University as a Ph.D. student,” said Dr. Tapabrata Maiti, STT faculty. “He works in the emerging fields of Bayesian Machine Learning with application to Biomedical Engineering and image reconstruction. His research work is well balanced with statistical theory, computational methods, and real-world applications. This prestigious fellowship recognizes the quality and potential of Sanket’s contribution as a graduate student in the Department of Statistics and Probability.”
Anirban Samaddar will join Argonne National Laboratory in Illinois to work on developing novel deep Bayesian machine learning approaches tailored to the unique needs of scientific data. He will be part of a multidisciplinary team and will research problems from different domains such as material science, high-energy physics, and fusion energy sciences.
“Anirban’s academic performance has been remarkable,” said Dr. Gustavo de los Campos, STT faculty. “His dissertation focuses on two hot topics in the statistical learning field: (i) Multi-resolution inference in Bayesian high dimensional regression problems, and (ii) Bayesian Deep Learning. His research covers theory, software development, and real-data applications. This distinguished fellowship recognizes Anirban’s achievements and potential and is an honor not only for himself but also for his mentors and collaborators.”
The NSF Division of Mathematical Sciences (DMS) aims to provide opportunities to enrich the training of graduate students in the Mathematical Sciences through the provision of an NSF-MSGI Internship Program. This program gives an opportunity for mathematical sciences doctoral students to participate in internships at federal laboratories and research facilities thereby providing first-hand experience of the use of mathematics in a nonacademic setting.