News & talks

"Shaping Useful Noise: Energy distributions predict visual pretraining quality" at Aaron group meeting, Mila - Quebec Artificial Intelligence Institute, hosted by Aaron Courville.

Selected as 1 of 600 young scientists globally to dialogue with Nobel Prize winners in peace and the interdisciplinary sciences at the 75th Lindau Nobel Laureate Meetings. Supported by a fellowship from the Texas A&M University.

Selected as a scholarship recipient and participant of the 16th Gathering for Gardner conference!

Selected as 1 of 200 young scientists around the world to meet Fields Medalists, Turing awardees and other distinguished researchers in maths and computer science the at Heidelberg Laureate Forum (HLF) 2025. Supported by the SAP grant.

"Seeing Beyond the Cave: Asymmetric Views of Representation" at HKU Musketeers Foundation Institute of Data Science, University of Hong Kong, hosted by Xihui Liu.

"Seeing Beyond the Cave: Asymmetric Views of Representation" at ML Section, DIKU, University of Copenhagen, hosted by Amartya Sanyal.

"Seeing Beyond the Cave: Asymmetric Views of Representation" at P1 Guest Talks, Pioneer Center for AI, Copenhagen, hosted by Serge Belongie.

"Fairness Aware Reward Optimization" at Women in Data Science Cambridge oral/poster session, hosted by WiDS Cambridge.

"A Causality-inspired Critique of LLMs" at Locatello Group, hosted by Francesco Locatello.

"Fairness Symmetries for Preference Optimisation" at Bunne Lab, hosted by Charlotte Bunne.

"WiML Mentee Spotlight" at Bridging the Future (NeurIPS 2024), representing Women in Machine Learning (WiML).

"(Un)learning to Explain" at Krueger AI Safety Lab, hosted by David Krueger.

"Robust Scaling: Trustworthy Data" at CleverHans Lab, hosted by Nicolas Papernot.

"Robustness Transfer in Distillation" at Brendel & Bethge joint lab meeting, hosted by Wieland Brendel.

"Federated learning and the Lottery Ticket Hypothesis" at ML Collective lab meeting, hosted by Rosanne Liu.

"Julia Track Google Code In and Beyond" at JuliaCon 2020.

"Corona-Net: Fighting COVID-19 With Computer Vision" at EuroPython 2020.

"Julia – Looks like Python, feels like Lisp, runs like C/Fortran" at Hong Kong Open Source Conference 2020.

New in ML Workshop @NeurIPS 2025

ML Tea @MIT CSAIL (seminar series)

Causality and Large Models Workshop @NeurIPS 2024

New in ML Workshop @NeurIPS 2024

New in ML Workshop @NeurIPS 2023

CoSubmitting Summer Workshop @ICLR 2022

Undergraduates in Computer Vision Social @ICCV 2021

CVPR 2023, 2024; ICCV 2023; NeurIPS 2023, 2024; ICLR 2024, 2025; ICML 2024, 2025; ECCV 2024*; ACCV 2024; AAAI 2025; AISTATS 2025 (* indicates outstanding reviewer award).