I am a research scientist at Nokia - Bell Labs. Prior to joining Bell Labs, I worked as a research associate scholar at Princeton University and a faculty fellow at NYU Tandon School of Engineering. I have received my Ph.D. in Electrical Engineering and M.Sc. in Statistics, both from Stanford University. I got my B.Sc. and M.Sc. degrees in Electrical Engineering from Sharif University of Technology.
My main background is in information theory, high dimensional statistics and machine learning. Currently I am interested in a range of problems related to i) developing theoretically-founded computationally-efficient solutions to understand and address various issues rising in modern computational imaging, such as speckle noise and snapshot imaging, ii) online learning, iii) structure learning, and iv) developing an information theoretic understanding of neural networks and deep learning.
News: I'll be joining the ECE department of Rutgers University in January 2022. I'm currently looking for interested Ph.D. students with strong mathematical background to join my group in Fall 2022. If you are interested, please send me an email with your CV.
600 Mountain Ave,
New Providence, NJ 07974
Email: shirin.jalali [at] nokia-bell-labs [dot] com