Biography

I am a PhD student in computer science studying machine learning at the University of Cambridge, supervised by Ferenc Huszár and Bernhard Schölkopf. I am grateful to Cambridge-Tübingen Fellowship and Premium Research Studentships for funding my PhD studies. My research interests focus on understanding causality in non-i.i.d. data, particularly causality in exchangeable data and enabling language models for mathematical reasoning.

Previously I was supervised by Ricardo Silva at UCL on causality and fairness and was supervised by Richard Samworth during my undergraduate time working on variable selection in high-dimensional statistical inference.

Interests
  • Machine Learning
  • Causality in Exchangeable data
  • Reasoning in Language Models
Education
  • PhD in Computer Science, 2021

    University of Cambridge & Max Planck Institute for Intelligent Systems

  • Msc in Machine Learning, 2020

    University College London

  • Bachelor and Master in Mathematics, 2015

    University of Cambridge

Recent Publications

(2023). Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data. In Advances in Neural Information Processing Systems (NeurIPS), 2023.

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(2023). Out-of-Variable Generalization for Discriminative Models. arxiv preprint 2304.07896.

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(2023). Dataflow graphs as complete causal graphs. In IEEE/ACM 2nd International Conference on AI Engineering–Software Engineering for AI (CAIN), 2023.

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(2023). On the Interventional Kullback-Leibler Divergence. In 2nd Conference on Causal Learning and Reasoning (CLeaR), 2023.

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(2022). Pragmatic Fairness: Optimizing Policies with Outcome Disparity Control. In NeurIPS 2022 Workshop on Algorithmic Fairness through the Lens of Causality and Privacy.

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Experience

 
 
 
 
 
Doctoral Fellow
Cambridge-Tübingen Fellowship
October 2021 – Present United Kingdom and Germany
 
 
 
 
 
Quantitative Strategist
Goldman Sachs International
July 2019 – July 2020 London

Accomplish­ments

Dean’s List
Premium Research Bursary
Awarded £15,609
Cambridge Tübingen PhD Fellowship in Machine Learning
Awarded ~ £168,249
Openshaw Prize, Exhibition & Foundation Scholarship

Recent & Upcoming Talks

Services

 
 
 
 
 
Intern Mentoring
Max Planck Institute for Intelligent Systems
June 2023 – August 2023 Germany
Mentoring Xianjun Davin Choo during his intern period at MPI on out-of-variable generalization.
 
 
 
 
 
Workshop Organizer
April 2023 – April 2023 Germany
 
 
 
 
 
Workshop Organizer
January 2023 – January 2023 Spain