I am a fifth year PhD student in Statistics at UC Berkeley. I am fortunate to be advised by Prof. Michael I. Jordan. My research interests include uncertainty prediction and decision-making, theoretical machine learning and games. Prior to Berkeley, I completed a B.S/M.Sc. at Ecole Polytechnique, Paris.
I am grateful to have been a Bloomberg Quant Fellow in Spring 2022.
You can find my resume here.
Email: firstname dot lastname @ berkeley dot edu
Office: Evans 393
- SIAM Conference on Financial Mathematics and Engineering, June 2023.
- Consortium for Data Analytics in Risk Seminar, May 2023.
- Bloomberg Quant (BBQ) seminar series, lightning talk: July 2020.
- An Optimistic Algorithm for Online Convex Optimization with Adversarial Constraints, J. Lekeufack, M. Jordan, preprint, 2024.
- Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions, J. Lekeufack, A. N. Angelopoulos, A. Bajscy, M. Jordan and J. Malik, ICRA 2024.
- Volatility is (mostly) Path-Dependent, J. Guyon and J. Lekeufack, Quantitative Finance Vol. 23, 2023.
- Bloomberg Quantitative Finace PhD Fellowship, Spring 2022.
- Finalist for the Two-Sigma PhD Diversity Fellowship, 2022.
- Voleon, Quantitative Researcher, summer 2024.
- Pinterest, ML Engineer, summer 2023.
- Bloomberg LP, Quantitative Researcher, summer 2020 and 2022.
I was TA for the following classes at UC Berkeley
- Fall 2022, STAT 201B: Introduction to Statistics at an Advanced level
- Fall 2021, STAT 134: Concepts of Probability
I am passionate of dance, African culture and African History. I dance and teach Kizomba and UrbanKiz.