I am a third 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 interned at Pinterest as a ML Engineer in summer 2023.I interned in the quantitative research team at Bloomberg LP during the summers 2020 and 2022, supervised by Julien Guyon. I am grateful to have been a Bloomberg Quant Fellow in Spring 2022.

Contact

Email: firstname dot lastname @ berkeley dot edu

Office: Evans 393

Talks

• 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

Publications

• Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions, J. Lekeufack, A. N. Angelopoulos, A. Bajscy, M. Jordan, J. Malik, 2023.
• Volatility is (mostly) Path-Dependent, J. Guyon and J. Lekeufack, 2022.

Awards

• Bloomberg Quantitative Finace PhD Fellowship, Spring 2022
• Finalist for the Two-Sigma PhD Diversity Fellowship, 2022

Teaching

I was TA for the following classes at UC Berkeley

• Fall 2021, STAT 134: Concepts of Probability
• Fall 2022, STAT 201B: Introduction to Statistics at an Advanced level

Hobbies

I am passionate of dance, African culture and African History. I dance and teach Kizomba and UrbanKiz. I also love food and music.