Biography

I am a Cambridge-Tübingen Fellow at the Max Planck Institute for Intelligent Systems and the University of Cambridge, supervised by Bernhard Schölkopf and Ferenc Huszár. Previously I worked on fairness with Ricardo Silva at UCL and variable selection in high-dimensional statistics with Richard Samworth.

My research interests are on scientific induction (a.k.a causality) and non-i.i.d. data. I am interested in incorporating causality in machine learning models and understanding causality in non-i.i.d. data: from Causal de Finetti (NeurIPS 2023) to Do Finetti (NeurIPS 2024 oral), from out-of-distribution to out-of-variable (ICLR 2024).

List of recent news:

• 2024-09-25 Do Finetti accepted in NeurIPS 2024 as oral presentation, with acceptance rate 0.46%.
• 2024-07-22 Off to start research scientist intern at FAIR Meta, NYC.
• 2024-07-19 Invited to lecture at Cambridge Ellis Summer School.
• 2024-07-05 Received the MPI-IS Outstanding Female Doctoral Student Prize!!

I take great pleasure in (co-)mentoring a few talented and highly motivated students. It has been a great privilege for me to constantly learn and get inspired by them. Here is a list of students I am working with in time-wise order:

• Anna Kerekes, PhD student at ETH Zurich, Feb 2024 - now
• Szilvia Ujváry, PhD student at Cambridge, Feb 2024 - now
• Davin Xianjun Choo, PhD student at NUS, Jun - Aug 2023

Application For motivated students interested in working on machine learning and/or causality, please reach out via sguo26v@gmail.com. Internship can be hosted at beautiful MPI.