FENG Samuel F.
Senior Lecturer
Department of Sciences and Engineering, Sorbonne University Abu Dhabi
Expertise
Discover the specialized technical skills and disciplinary affiliations of our members, who represent the federated communities of the Arts & Humanities, Science & Engineering, and Medicine within the Sorbonne University Alliance.
Communities
Health, Medicine & Biology
Mathematics, Computer Science & Robotics
Mathematics, Computer Science & Robotics
Skills
Decision making, Mathematical models, Precision medicine, Statistical learning
Activities
Overview the professional milestones, academic responsibilities, and international collaborations that drive our center’s double ambition to excel in both research and education.
Selected publications
- Muneeb, M., Feng, S. F. & Henschel, A. Transfer learning for genotype-phenotype prediction using deep learning models. BMC Bioinformatics 23, 511. https://doi.org/10.1186/s12859-022-05036-8 (2022).
- Wang, S., Feng, S. F. & Bornstein, A. Mixing memory and desire: How memory reactivation supports deliberative decision-making. Wiley Interdisciplinary Reviews: Cognitive Science (2021).
- Feng, S. F., Wang, S., Zarnescu, S. & Wilson, R. C. The dynamics of explore–exploit decisions reveals a signal-to-noise mechanism for random exploration. Scientific reports 11 (2021).
- Wahbah, M., Feng, S. F., EL-Fouly, T. H. M. & Zahawi, B. Root-transformed local linear regression for solar irradiance probability density estimation. IEEE Transactions on Power Systems 35 (2020).
- Srivastava, V., Feng, S. F., Cohen, J. D., Leonard, N. E. & Shenhav, A. A martingale analysis of first passage times of time-dependent Wiener diffusion models. Journal of Mathematical Psychology 77 (2017).