Summary
Chiam Ng is a senior computational biologist with nine years of experience building predictive ML and mechanistic models to accelerate synthetic biology, currently leading efforts at X, the moonshot factory. He combines technical leadership with hands-on engineering, taking projects from model development through strain engineering and production deployment. His recent work focuses on end-to-end ML pipelines (PyTorch, Vertex AI, Hydra) that turn heterogeneous multi-omics data into actionable biological insights. Chiam also spans the full software lifecycle—lab data engineering, LIMS and BigQuery integrations, DBTL automation, and shipping scientific apps (Flask/Pyramid) to production. He brings a rare mix of academic rigor (PhD) and industrial impact from roles at Amyris and research positions, enabling pragmatic solutions that bridge wet lab and ML systems. Based in Mountain View, he’s known for turning noisy experimental data into reproducible, deployable pipelines that speed biological design cycles.
9 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering (B.E.), Bachelor of Engineering (B.E.) at Korea University
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at Penn State University