معرفی
Imon Banerjee is a Research Assistant Professor and IEMS Alumni Fellow at the McCormick School of Engineering, Northwestern University. He earned his PhD from Purdue University under Vinayak Rao and Harsha Honnappa, and completed his Bachelors and Masters in Statistics at the Indian Statistical Institute, specializing in Mathematical Statistics. He is currently on the 2025 academic job market and maintains an Erdős number of 4.
- Northwestern University: Research Assistant Professor, IEMS Alumni Fellow
- Purdue University: PhD in Statistics
- Indian Statistical Institute: B.S. & M.S. in Statistics
His research spans statistical theory, computational methods, and applied probability. He has rigorously developed statistics for controlled Markov chains in finite and continuous state spaces, with Bayesian and Frequentist approaches, and is compiling these works into a monograph. He explores geometrical interpretations of statistics (pioneered by Efron) and has extended Kalman filter methodology for non-Gaussian noise, demonstrating sub-optimality of traditional estimators. Collaborative work includes sparse principal component analysis (sparse PCA).
Imon actively seeks collaboration in geometry-driven statistical modeling, Markov chains, and non-Gaussian estimation. He welcomes discussions via email and is currently engaged in advancing theoretical frameworks for bootstrapping and statistical geometry.
Scientific Awards:
- IEMS Alumni Fellow (Northwestern University)
Imon is affiliated with Northwestern University's McCormick School of Engineering and Purdue University's Department of Statistics (alumni). His work bridges theoretical rigor with practical applications in computational statistics, state estimation, and machine learning.
