Research
My research interests cover a broad spectrum of machine learning topics. Initially, my work centered on reinforcement learning, exploring its applications in multi-agent systems, meta-learning, and reward-free, curiosity-driven frameworks.
More recently, my focus has shifted to the domain of conversational large language models (LLMs), with a specific interest in their application within the medical field.
Publications
2023: Offline RL for generative design of protein binders
2023: Are we going MAD? Benchmarking Multi-Agent Debate between Language Models for Medical Q&A
2023: Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
2023: Scaling multi-agent reinforcement learning to full 11 versus 11 simulated robotic football
2022: Scaling multi-agent reinforcement learning to eleven aside simulated robot soccer
2021: Mava: a research framework for distributed multi-agent reinforcement learning
Updates
New Paper Published - March 1, 2023
PhD Defence - October 19, 2022
Fulltime Research Scientist at InstaDeep - August 1, 2022
Master's Degree - March 8, 2020
Batchelor's Degree - December 6, 2018