Lead a centralized bioinformatics and computational biology team scientists to support all therapeutic areas from early discovery to clinical development using big data and artificial intelligence. Manage 5 groups, including Computational Oncology, Computational Immunology, Computational Neuroscience, Computational Genomics, and Bioinformatics Engineering.

As Chief Health Informatics Officer, I led Sema4’s informatics teams that are responsible for the structuring and management of genomic- and health-related data with health system partners, as well as the development of a Centrellis health insight platform to engage researchers, clinicians, and administrators to improve the standard of care, an artificial intelligence platform to engage biopharma scientists for advanced analytics, and a genomic platform to scale up genetic testing.

Lead a team and develop natural language processing tools, and abstract longitudinal journey ofover 3 million patients from over 50 million physician notes from EPIC, Meditech, MOSAIQEMR systems in multiple health systemsLead a team and develop infrastructure to QC, annotate, and annotate clinical, genetic,biochemical data of over 1 million patients and testsLead and team and develop artificial intelligence platform to analyze and visualize longitudinalpatient journey of over 3 million patients, and understand incidence, prevalence, subtypes,disease progression, treatment response for over 8000 diseases

As a founding member of Sema4, I built and led a multi-disciplinary informatics team of Bioinformatics Scientists, Data Scientists, Software Engineer, Cancer Scientists, Curators, Geneticists, Database Engineers, NLP scientists to develop genomic and data platforms to launch clinical genetic tests and deliver precision medicine to healthcare systems.Integrate a wide variety of sources through text mining and manual curation to build clinical quality knowledge base.Develop software to automate curation, analysis, and pipeline to launch and optimize clinical genetic testing and create clinical reports.Mine millions of individuals's medical records and genetic data to identify biomarker, therapeutics, and precision medicine.

PI NIH grant, develop algorithm to screen EMR, predict patients requiring clinical genetic tests,and deploy it into Mount Sinai health systemFounded Clinical Genome Informatics program at Mt Sinai, and built and led a clinical genome informatics team with over 10 Bioinformatics Scientists and Software Engineers.Led personalized cancer therapy project, built a pipeline to sequence, analyze, and interpret tumor samples and created clinical reports to recommend personalized therapeutics, clinical trials and vaccine for patients with a wide variety of tumor types.Built a mutation panel, searched against 600,000 genomes, and identified a dozen unexpected heroes, who have fully penetrant mutations for childhood diseases but are healthy.Designed the NGS-based panel, evaluated the accuracy, and launched the resilience project to search unexpected hero by sequencing 1 million individuals.Built disease networks through integrating genetic, EMR, and literature.Built databases, genome repositories, and products to interpret personal genomeBuilt NGS panels and evaluate the performance across multiple sequencing platforms, including Hi-Seq, Proton, PacBio, and RainDance.Catalog and identify germline cancer variants through large scale sequencing.

As a founding member of Personalis, I built a team of Bioinformatics Scientist, Software Engineer, Database Developer, and Statistical Geneticist to interpret human genomes for rare variant discovery, disease risk assessment, and clinical diagnosis on personal genome, family-based studies, and large case/control studies.Designed and developed several NGS products, including genome annotation, rare variant discovery, and personal genome reportLed a large curation team to build a comprehensive disease-variant database from 20,000 human genetic papers.

As a founding member of Butte Lab, I built comprehensive data warehouse on genetics, genomics, epidemiology, evolutionary, and clinics, which enabled numerous startups, diagnostic biomarkers, novel therapeutics, and patents from Butte Lab (http://buttelab.ucsf.edu/) Led a large curation team to build a comprehensive disease-variant database Varimed from literature.Built a pipeline to interpret human genome and predict personal risk on hundreds of diseases, and published the first Personal Genome Report that were displayed in National Mall museum in DC. Integrate various types of molecular measurements to drive the discovery of diagnostic biomarkers and therapeutic targets.

Developed diagnostic assays on Cancer of Unknown Primary Origin, Thyroid Carcinoma, Prostate Carcinoma, and Liver FibrosisDeveloped a web portal to assess the clinical significance of DNA mutations by integrating sequence, structure, alternative splicing, and evolutionary data

Developed a pipeline to build high-quality atomic structure of antibodies from sequences to support therapeutic antibody discovery on oncology. Dual-purpose antibody for oncology therapeutics.Classified the CDR regions of thousands of antibodies into novel canonical structures

Development of a high-throughput genomic structure prediction and functional annotation software GeneAtlas in DS Modeling