Sajal Chakroborty
schakroborty@wpi.edu sajal.math@yahoo.com
I am a Postdoctoral Scholar in the Department of Mathematical Sciences at Worcester Polytechnic Institute, Worcester, Massachusetts, USA. I earned my Ph.D. in Mathematics and MS in Statistics from Texas Tech University (TTU), USA. My current research focuses on Statistical Machine Learning and Data Science. I also have research experience in Operations research, Optimization, and Mathematical Modeling in Biology. I enjoy my teaching equally as I enjoy my research. I have more than five years of teaching experience. I have taught several courses at Texas Tech University. I always enjoy working with first-generation students, especially from underrepresented communities. Thank you for taking the time to read my profile.
Recent News
Joshua DeOliveira, Sajal Chakroborty, Walter Gerych,Elke Rundensteiner, Neural Tangent Kernels under Stochastic Data augmentation, accepted for publication in the Proceedings of the AAAI Conference on Artificial Intelligence, 2026.
- Course: I will teach MA 595: Advanced Mathematical Statistics in Spring 2026 (C and D term) at WPI.
- Course: I will teach MA 2621: Probability for Applications in Spring 2026 (C-term) at WPI.
- Course: I will teach MA 2611: Applied Statistics-I in Spring 2026 (D-term) at WPI.
- Award: Our paper titled “MXene Material Property Prediction via Transfer Learning with Graph Neural Networks” received the Best Paper Award at the IEEE International Conference on AI and Data Analytics (ICAD), 2025. Out of 47 accepted papers, only three received this honor.
- New Publication: Our paper titled “MXene Material Property Prediction via Transfer Learning with Graph Neural Networks” has been accepted for publication at the IEEE International Conference on AI and Data Analytics (ICAD), 2025.
- New Publication: Our paper titled “A Comprehensive Methodological Framework for 3D Head Anthropometric Shape Modeling of a Small Dataset” has been published in the journal Ergonomics (Taylor & Francis).
- New Publication: Our paper titled “A Hybrid Deep Learning Framework for Early Detection of Mpox Using Image Data” has been published in the journal Healthcare Analytics (Elsevier).
- Talk: I will give a talk in the “Faculty Lunch Talks” seminar on 04/23/2025 in the Department of Mathematical Sciences at WPI.