| Nov 24, 2025 | Had the pleasure of giving an invited talk at Graphcore in London, where I presented my work on brain-inspired continual reinforcement learning. Great conversations with the team about bridging neuroscience and ML, and exciting to see the strong research culture there. |
| Nov 20, 2025 | Visited Prof. Claudia Clopath’s lab at Imperial College London, where I gave a talk on our work titled “Brain-Inspired Continual Reinforcement Learning Agents.” I have met Claudia numerous times throughout my PhD journey, from Cosyne to giving a talk at our Biological and Artificial RL workshop at NeurIPS in 2020. It is my great honor to be able to spend time with her lab and learned about what they are working on as well! |
| Nov 13, 2025 | Visited Prof. Rui Ponte Costa’s lab at University of Oxford, where I gave a talk on our work titled “Brain-Inspired Continual Reinforcement Learning Agents.” Rui was my master thesis supervisor, and it was wonderful to reconnect with him and his lab again! |
| Nov 12, 2025 | Met up with the team at Prima Mente which is neuroscience-AI startup in London, UK, focusing on understanding the brain and advancing potential treatments for neurological and neurodegenerative diseases. |
| Oct 20, 2025 | Gave a talk titled “Brain-Inspired Reinforcement Learning Agents” to visiting researchers from the Lamarr Institute for Machine Learning and Artificial Intelligence (Germany) at Mila – Quebec AI Institute, Montréal, Canada. |
| Sep 28, 2025 | Excited to share that my first collaborative work, Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments , with Riley Simmons-Edler, Ryan P. Badman, Felix Baastad Berg, John J. Vastola, Joshua Lunger, William Qian, and Kanaka Rajan, has been accepted to NeurIPS 2025! We developed a foraging environment (based on Craftax) and trained PPO agents with compact GRUs, uncovering that even model-free agents can plan and recall across hundreds of timesteps. |
| Mar 10, 2025 | Invited by the Integrate and Fire Seminar organisers at McGill University to share my perspective on the discussion theme of the night, “How Intelligent is AI?” Through sharing my own work on reinforcement learning, I presented some evidence which showed that agents learned solely on rewards can obtain some form of intelligence. |
| Jan 30, 2025 | Announcement_4 |
| Sep 28, 2024 | Announcement_1 |
| Sep 25, 2024 | My first research paper titled “Learning Successor Features the Simple Way,” on which I am the primary first author, co-authored with Arna Ghosh, Christos Kaplanis, Blake Richards and Doina Precup, has been accepted to the Neural Information Processing Systems conference (NeurIPS) a top-tier machine learning conference with a very selective 25.8% acceptance rate. Check out the blogpost and the paper! 🎉 |
| Feb 29, 2024 | Presented our recent work on Continual RL using Successor Features @ Computational and Systems Neuroscience (COSYNE) in Lisbon, Portugal, with a selective 51.6% acceptance rate. 🇵🇹🧠 |