Talks and events

I have been selected as a finalist in the Mathematics category and will be presenting some of my research in the Houses of Commons.

This house believes that AI is better, stronger, faster at picking stocks for investment. The motion will be proposed by Ed Fishwick, Managing Director, Global Co-Head of Risk & Quantitative Analysis at BlackRock, and opposed by me.

Presented our Deep Adaptive Design (DAD) method at the Un-Conference track of the OxML summer school.

Review of the paper “Nonmyopic Multifidelity Active Search” by Nguyen et al. (2021), which introduces the MF-ENS algorithm.

Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design (with A. Foster, I. Malik and T. Rainforth), long presentation at ICML 2021, Bayesian Learning 1 session.

Discussion of our recent paper Deep Adaptive Design (with A. Foster, I. Malik and T. Rainforth).

Review of the paper “Playing Atari with Deep Reinforcement Learning” by Mnih et al (2013) which introduced deep Q-networks (DQN).