Yousef El-Laham
Scholar

Yousef El-Laham

Google Scholar ID: wlERhz4AAAAJ
J.P. Morgan Chase - AI Research
uncertainty quantificationMonte Carlo methodsgenerative modelscomputational statistics
Citations & Impact
All-time
Citations
370
 
H-index
10
 
i10-index
12
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Research Experience
  • Leads the AI research team at JPMorgan Chase & Co.; collaborated with Heather Lynch from the Department of Ecology & Evolution at Stony Brook University on age-structured modeling of penguin population dynamics.
Education
  • Earned a Ph.D. in Electrical Engineering from Stony Brook University, advised by Monica Bugallo and co-advised by Petar Djuric. Dissertation titled 'Bayesian Learning for Complex Systems under Model Uncertainty,' focused on developing Monte Carlo methods for Bayesian inference in high-dimensional probability models in the case of regime switching.
Background
  • AI Research Lead at JPMorgan Chase & Co., focusing on deep generative models for time series data and robust uncertainty quantification for deep learning methods.
Miscellany
  • In free time, teaches courses at his alma mater, Stony Brook University. Most recently, taught 'ESE 531: Statistical Learning and Inference' in Spring 2024.