About Me

I am a 2nd-year PhD student at the Centre for Artificial Intelligence, University College London, working on Causal Inference and Causal Machine Learning. I am supervised by Dr Matt Kusner and Professor Ricardo Silva. So far in my PhD, I have also worked extensively with Professor Arthur Gretton.

I am interested in Causal Inference under weak observability conditions, specifically methods applicable to social sciences.

Prior to starting my PhD, I earned a master’s degree in Machine Learning from University College London and my undergraduate degree in Mathematics from the University of Cambridge.


06.2022 I am thrilled to join Amazon Science Tuebingen to work with Dominik Janzing on causality from 06.2022 to 12.2022.

05.2022 New work: Causal Inference Under Treatment Measurement Error: A Nonparametric Instrumental Variable Approach has been invited for an oral presentation at UAI 2022.

05.2022 I am presenting my work on causal effect estimation with latent variables(slides) at the Statistics for Data-Centric Engineering Seminar Series, Alan Turing Institute and on structured treatment effect estimation(slides) at Professor Menggang Yu’s group, University of Wisconsin, Madison.

10.2021 New work: Causal Effect Estimation for Structured Treatments has been accepted to NeurIPS 2021.

05.2021 New work: Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restrictions has been accepted to ICML 2021.