CV
Current Position
2024 – Present
Postdoctoral Research Associate
Computational and Biological Learning Lab, Department of Engineering, University of Cambridge
Advisor: Máté Lengyel. Research on normative models of hippocampal computation and probabilistic inference.
Education
2019 – 2024
PhD in Computational Neuroscience and Machine Learning
University College London (UCL). Supervisors: Neil Burgess, Maneesh Sahani
2017 – 2018
MPhil in Applied Mathematics
University of Cambridge
2014 – 2017
BSc in Mathematics and Statistics
Imperial College London
Academic and Industrial Research Experience
Jan – Jun 2025
Machine Learning Research Engineer
Optiver
Build sequence models for mid-frequency stock price predictions based on state-of-the-art machine learning algorithms.
Aug – Dec 2023
Research Scientist Intern
Meta
Online uncertainty quantification of deep learning models with conformal prediction, and generative modelling of neural data.
Sep 2022 – Jan 2023
Visiting Researcher
Department of Psychology, Harvard University
Intrinsic exploration with prospective and retrospective information.
Mar – Jun 2021
Research Scientist Intern
Microsoft Research Asia
Pretraining and finetuning of large language models for protein sequence modeling.
Jun – Sep 2020
Research Intern
Huawei Noah's Ark Lab
Generative modelling of world models in model-based reinforcement learning.
2018 – 2019
Research Assistant
Department of Engineering, University of Cambridge
Application of deep kernel learning for engine emissions modelling.