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Bio
Dr. Samuel F. Feng is Associate Professor of Mathematics (Statistics) at Sorbonne University Abu Dhabi. His work bridges mathematics, statistics, and artificial intelligence, with a focus on developing interpretable, data-driven models for complex systems in neuroscience, health, and energy. He earned his Ph.D. in Computational and Applied Mathematics from Princeton University and joined Sorbonne University Abu Dhabi in 2022.
Dr. Feng’s research centers on interpretable stochastic modeling for intelligent systems, with applications in:
- Neuroscience/Psychology: Modeling decision making, the explore–exploit dilemma, and cognitive control at the interface of human and artificial intelligence.
- Renewable Energy: Nonparametric statistical models for solar irradiance, wind speed, and electric load forecasting.
- Medical/Health Data Science: Risk prediction using high-dimensional biomarker and genomic data, COVID-19 dynamics, and bioinformatics for disease mechanisms.
With over 15 years of interdisciplinary experience, Dr. Feng has published 20+ peer-reviewed articles, presented at 20+ international conferences, authored a book chapter, and supervised multiple graduate theses. He continues to mentor master’s and Ph.D. students as well as research staff across several ongoing projects.
info@sorbone.apps.plana.ae
