20 years turning biological data into medical breakthroughs. Harvard, Caltech, UCSD. Currently the lead developer on multi-million dollar metabolic research at UC San Diego.
Technical expertise. Human empathy. Research that changes lives.
When not in the lab, you'll find me running trails, painting landscapes, or cooking for friends.
I have spearheaded the development of The Common Metabolic Diseases Genome Atlas, an extensive bioinformatic and software platform that links thousands of genomic datasets to uncover the origins of metabolic diseases and accelerate drug discovery.
Architected PanKbase, a key component of a $12.5M NIH-funded project, building a comprehensive data library to support diabetes research.
Created a software platform and performed bioinformatics analyses to explore gene regulation and environmental impacts on evolution.
Enhanced reciprocal smallest-distance algorithm for cloud platforms, cutting computational costs by 40%, pioneering the first cloud-based comparative genomics system.
Courses: Biochemistry, Molecular Biology, Programming, Database Management, Proteomics, Imaging, Ethics
Internship: Intelligent Medical Devices, Cambridge, MA
Courses: Medical Instrumentation, Anatomy, Embedded Systems, Hospital Management
Experience: Jaslok Hospital and Research Center
Courses: Business Strategy, Innovation, Venture Creation, Leadership
Database: The Journal of Biological Databases and Curation
American Journal of Human Genetics, Bioinformatics, Evolutionary Bioinformatics, BMC Bioinformatics, PLOS Computational Biology, Journal of Endocrinology, Faculty of 1000
Intel International Science and Engineering Fair (Computational Biology and Bioinformatics category)
The Cell Metabolism cover image that accompanies the article illustrates how the T2DKP integrates multiple types of genetic and genomic data to provide insights that can be the building blocks for new therapeutics.