Yuxin Chang

I am a Software Engineer at Google. My PhD in Computer Science at UC Irvine was one of the most wonderful life experiences, thanks to my incredible advisor Professor Padhraic Smyth and my amazing collaborator and great friend Dr. Alex Boyd. Before that, I received my MPhil in Machine Learning and Machine Intelligence from the University of Cambridge, supervised by Professor Carl E. Rasmussen. I also hold a First-Class BSc (Hons) in Mathematics and Statistics from the University of Edinburgh.

My research has been focusing on deep generative models and probabilistic machine learning, such as probabilistic modeling of continuous-time event sequences (e.g., transformers, state space models) and machine learning for healthcare. I appreciate the funding support from an HPI Fellowship, an NIH Grant, and a CS Department Dean’s Fellowship.

I worked on AI data for LLM post-training and evaluation in summer 2025, during the Google PhD Software Engineer internship. I also interned as an AI Research Scientist at GE HealthCare in 2024, and have lovely memories for interning at Goldman Sachs (London, 2021) and Tencent (Shenzhen, 2019).

Reviewer: NeurIPS, ICML, ICLR, AISTATS, JMLR.
Open Source Project Contribution: EasyTPP (link1, link2) for marked temporal point processes.