status: mid post-training · reward signal: curiosity · KL penalty: sleep
📈 training history📊 evals🤖 ask
🤖policy
About me
I'm a junior at 
Stanford studying Mathematics and Computer Science. I work on reinforcement learning and post-training, and on what those methods do to a model's safety: whether its reasoning stays honest, and which training choices quietly trade oversight for capability. This fall I'm joining 
Redwood Research part-time as an AI safety research intern, after a summer on the Data Platform team at 
Databricks.
I grew up in Hong Kong and went to 
Eton College. I sing baritone with the 
Mendicants, Stanford's oldest a cappella group. I speak English, Cantonese, and Mandarin natively, plus some German and beginner Japanese.
🥕reward model
What I optimize for
- Models that stay overseeable as they get stronger. Chain-of-thought monitoring only works if the reasoning we read is the reasoning that drove the answer. I want to know which training choices preserve that, and which erode it while the text still looks fine.
- Post-training that doesn't trade safety for capability by accident. Reward design, distillation, and RL loops each have side effects on honesty and controllability. Those effects should be measured, not assumed.
- Interpretability artifacts wired into training carefully. A probe that is safe to read can be dangerous to optimize against. The access a training loop gives an internal signal should be a deliberate decision.
- Measurements that survive scrutiny. Pre-registered designs, placebo controls, bootstrap intervals, and numbers that regenerate from committed artifacts. A safety metric with a hidden confound is worse than no metric.
∇gradient updates
Research
Four papers are under review. Titles, summaries, and PDFs are on the papers page. Venues will be added once decisions are out.
📝rollouts
Projects
A resumable agent that mines recent ML papers, walks the citation graph to find proposed extensions nobody has attempted, and ranks the open problems. SQLite plus vector search, content-addressed caching, best-first frontier.
Agent that evaluates live Polymarket prices and flags mispriced contracts from incoming information and microstructure signals. Finalist at the NVIDIA, Vercel, and Brex hackathon.
agents · Bridgewater AI HackathonSelected as 1 of 24. A multi-agent system that maps causal graphs for policy-impact scenarios by decomposing macro questions into testable sub-claims.
ai / music · TreeHacks runner-upMultimodal music coach that analyzes instrument audio and video with NVIDIA vision and audio models. Devpost
BPE tokenizer trainer in Rust with Python bindings. A 32k vocabulary on 12.9 GB of FineWeb in 38 s against 257 s for HuggingFace tokenizers, with every merge byte-identical and a fraction of the memory. GitHub
A language model built end to end in PyTorch: tokenizer, training loop, FlashAttention as Triton kernels, distributed data parallel with optimizer sharding, profiling, scaling laws, and SFT plus GRPO post-training.
LSTM, GNN, and CNN models over 545k+ observations for spatiotemporal air quality forecasting, with robustness testing under distribution shift.
📈training history
Experience
- Sep 2026 – Jan 2027
- Jun – Sep 2026
- Sep 2024 – Jun 2026
Director of Hackspace, BASESStanford's largest student-run entrepreneurship programs. Sponsor relations and coordination for hackathons serving 200+ participants. - Sep 2025 – nowCourse Grader, Applied Matrix Theory, Stanford MathematicsEvaluate proof-based linear algebra for 200+ students.
- Jun – Sep 2025Undergraduate Researcher, Chiu Lab, StanfordBioengineering REU. Built CryoViT, CNN and vision transformer models that segment cell structures in noisy 3D cryo-EM data, applied to Alzheimer's research.
- Jan – Jun 2025Teaching Assistant, Programming Abstractions, Stanford CSLed weekly C++ sections on recursion, complexity, and data structures.
📊evals
Honors
YC FellowSummer 2026 · mentored by Harshita Arora- TreeHacks Summer Fellow2026
MATS 11.0accepted
Rabi ScholarColumbia University · top 10 scientific admits nationally- Gladstone Memorial Prize, King's ScholarEton College · valedictorian prize
- PrefectEton College
British Mathematical Olympiad Round 2top 50 nationally, twice
UK Chemistry Olympiadgold medal three times · IChO team reserve
World Science Scholars1 of 48 selected globally
🤖inference
Ask my post-trained self
A small open-weights model with a short bio in its context. Ask it about my work. It can be wrong, so trust the sections above over it.