Turning complexity
into decisions.
I build practical optimization, machine learning, and AI-powered systems for complex operational problems.
Explore selected work01 / About me
Research depth,
practical delivery.
I enjoy turning complex, constraint-heavy operational problems into clear models and practical decision tools.
My work sits at the intersection of optimization, machine learning, and engineering. I care about solutions that are mathematically sound, understandable, testable, and useful in real operations.
Based in Singapore, I have worked across academic research and enterprise logistics, with a particular interest in making advanced decision methods more accessible.
- Currently
- Scientist, Optimization · A*STAR
- Previously
- Algorithm Engineering Intern · TikTok
- Education
- Ph.D., Operations Research & Analytics · NUS
- Selected research
- ICML 2024 · Online Resource Allocation
02 / What I do
Three ways I approach
difficult decisions.
Each direction opens the same work index, filtered to the most relevant cases.
03 / Contact me
Have a difficult
decision to solve?
I am open to thoughtful collaborations in optimization, AI, machine learning, and algorithm engineering.
Professional email · to be addedBased in Singapore · Available for remote collaboration