I am currently working as a Scientist II at Uber’s Toronto office, in the Marketplace team.

Previously, I completed a PhD in the StatML CDT programme, under the supervision of Chris Holmes in the Department of Statistics at the University of Oxford, with generous funding from Novo Nordisk. My research interests revolved around causal inference, especially in high-dimensional datasets. This included learning suitable representations for matching, weighting, and overlap. I also did work exploring links between causal treatment effects and Shapley values, evaluating benchmarks for causal reasoning in large language models (LLMs), and integrating LLM knowledge into causal discovery algorithms.

Further, in the summer of 2022, I interned in the Safety and Insurance team at Uber in San Francisco. In the spring of 2024, I visited Avi Feller at UC Berkeley. In the summer and fall of 2024, I interned at ServiceNow Research and Mila in Montréal.

Before my PhD, I worked at Immunai as a research engineer. This followed previous master’s thesis research on variational autoencoders to solve problems in single-cell biological data. This work was also incorporated in a popular Python package in the field.

News

• June 2026: I have started to work as a Scientist II at Uber in Toronto.
• January-July 2026: Our paper on learning representations to address poor overlap has been accepted to AISTATS 2026. I have also completed my PhD, passing with minor corrections.
• October 2025: I have received a Top Reviewer Award at NeurIPS 2025!
• July 2025: I have handed my PhD thesis.
• February 2025 : Our paper on integrating LLM knowledge into causal discovery algorithms has been accepted to the Reasoning and Planning for Large Language Models at ICLR 2025.
• July-November 2024 : I have been interning at ServiceNow Research with Alexandre Drouin and Mila with Ioannis Mitliagkas, working on causal discovery and large language models.
• January-May 2024 : I have been visiting Avi Feller at UC Berkeley. Meanwhile, our paper on learning representations for balancing weights has been accepted to both UAI 2024 as a poster and ACIC 2024 as an oral presentation. I was also awarded a $500 travel scholarship for this conference.
• December 2023 : Our critical review of benchmarks for assessing causal reasoning in large language models has been accepted for an oral presentation at the “Are Large Language Models Simply Causal Parrots?” workshop at AAAI 2024. See you in Vancouver!
• October 2023 : I will be attending the Extending Inferences to a New Target Population workshop at ICERM, Brown University, on November 17-19.
• October 2023 : our latest work on learning representations for balancing weights has been accepted to the causal representation learning workshop at NeurIPS 2023! The manuscript is to be uploaded after incorporating feedback from reviewers and other people.
• October 2023 : my J-1 visa application has been approved! I will be visiting Avi Feller in UC Berkeley from January to May 2024.