Published papers such as 'Toward Universal Laws of Outlier Propagation', 'Gaussian Mean Testing under Truncation', 'Learning High Dimensional Gaussian from Censored Data', and more, presented at various international conferences.
Research Experience
Served as an applied scientist intern at Amazon, Germany, working with Dominik Janzing on causality research for outlier propagation (2024-2025); Research intern at Center for Integrative Artificial Intelligence, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, working with Kun Zhang's group since summer 2023; Visiting researcher with the Causality program at the Simons Institute, UC Berkeley, in spring 2022; Researcher in Mykola Pechenizkiy's group on the Deep Learning in Core and Edge (DLCE) project at Eindhoven University of Technology, funded by KPN (2018-2020).
Education
Master's degree under the supervision of Ivan Wang-Hei Ho at The Hong Kong Polytechnic University; Bachelor’s degree in Electronics Science and Technology from Northwest University in China.
Background
Her research interests include the statistical and computational challenges in data science and machine learning, with a particular emphasis on understanding causal relationships. Her work focuses on developing methods for learning, testing, and inference of reliable insights from data.