Alvin P.C. Chen
ML Engineer and AI Researcher

I’m a recent graduate from the University of Colorado Boulder where I received my MS in Computational Linguistics. I’m currently working at a startup which deploys AI solutions for business management.
At CU, I worked on computational linguistics with the CLEAR Lab, notably on UMR 2.0 which I helped release. I also worked on computational social science with the BLAST Group with a research focus on Human-AI interaction. Previously, I worked at Johnson & Johnson in China, where I applied data intelligence to real-world business challenges, leading national-scale analytics, and campaign strategies.
My current interests are causal interpretability, ontologies, and neurosymbolic methods. I don’t think LLMs “reason” in a meaningful sense but I’m interested in uncovering possible computational paths encoded by neural networks. Fine-tuning (with reinforcement learning or otherwise) will remain alchemy until we understand the mechanics behind “reasoning” behavior. In the meantime, symbolic guardrails are our best bet.
news
Incredible time in San Diego discussing new research directions with folks at ACL 2026!
Our paper, Effects of Collaboration on the Performance of Interactive Theme Discovery Systems was accepted to ACL 2026 Main Conference!
The UMR Project released the 2.0 dataset with an English corpus of over 30k graphs!
We achieved #1 on the leaderboard for SemEval 2024 Task 9!