Current Roles
- Associate Professor, Duke-NUS Medical School
- Principal Scientist, Genome Institute of Singapore
- Director of Bioinformatics, Genomic Medicine Centre (SingHealth Duke-NUS)
About
I am a computational biologist working at the interface of genomics, medicine, and data science. My research focuses on translating genome sequencing into clinically meaningful insights, particularly in rare disease diagnosis and precision medicine.
Background
I trained in applied mathematics and computational methods before moving into genomics and bioinformatics.
- Semiconductor manufacturing automation (Intel)
- Electronic design automation
- Data science in large-scale systems
I later transitioned into genomics, where I now lead bioinformatics efforts across clinical and population-scale sequencing programs.
Approach
- Data-driven, but clinically grounded
- Focus on robustness over novelty
- Emphasis on real-world deployment
- Close collaboration with clinicians
Research Philosophy
I view genomics as an engineering problem as much as a biological one. Sequencing is no longer the bottleneck. Interpretation is.
- Building systems that scale
- Reducing ambiguity in variant interpretation
- Integrating computational and experimental approaches
- Applying AI responsibly in clinical contexts
Interests
Clinical genomics and rare disease, population-scale genetic variation, AI and language models in medicine, and functional validation of uncertain variants.
Outside work, I maintain a long-standing interest in science as a way of understanding the world, with additional interests in geopolitics, aviation, and model building.