I'm a nationally and internationally recognized expert in translational and biomedical informatics. I obtained the MA degree in Statistics (2005) and PhD degree in Comparative Biochemistry (Computational Biology focus, 2007), both from UC-Berkeley. I started the first tenure-track faculty position in University of Hawaii Cancer Center later 2012 and was promoted to Associate Professor with tenure in 2017. I moved to University of Michigan in 2018 to expand the research to multi-modal research (genomics, EMR and pathological imaging analysis). I published over 100 papers in top quality journals including Cell, Nature Communications, Genome Biology, Genome Medicine, Clinical Cancer Research. I contributed as the senior corresponding author in the majority of these publications. I delivered over 90 invited talks to institutes including National Library of Medicine (NLM) and National Academy of Sciences (NAS). I have mentored over 90 Assistant Professors, MD fellows, postdocs, graduate students and undergraduates of various academic backgrounds, in Biology, Mathematics, Physics, (bio)Statistics, Bioengineering, Computer Science and Electrical Engineering. Most PhD and postdoc trainees became faculty or senior scientists in private sectors. I served on various NIH study sections and currently am a standing member of BDMA study section. I am on the editorial advisory board for journals Genome Biology and Journal of Proteome Research. Among the awards, the noticeable ones include US Presidential Early Career Scientists and Engineers in 2019, and fellowship of American Institute of Medical and Biological Engineering (AIMBE) since 2022.

My research interest lies in applying data science for actionable transformation of human health from the bench to bedside. Current research focus areas include cutting edge single-cell sequencing informatics and genomics; precision medicine through integration of multi-omics data types; novel modeling and computational methods for biomarker research; public health genomics. I apply my biomedical informatics and analytical expertise to study diseases such as cancers, and neonatal/women's health.