Jieming Chen, PhD
|School||UCSF School of Medicine|
|Department||Computational Health Scienc|
|Address||550 16th. Street|
San Francisco CA 94158
|National University of Singapore||B Sc. (Hons)||2008||Computational Biology|
|Yale University||Ph.D||2015||Computational Biology and Bioinformatics|
Prior to UCSF, Jieming completed his undergraduate degree at the National University of Singapore and subsequently worked for 2 years at the Genome Institute of Singapore as a bioinformatics specialist on population genetics, with an emphasis on population structure and pharmacogenomics. In 2015, he graduated from Yale University with a Ph.D in Computational Biology and Bioinformatics, from the laboratories of Professors Mark Gerstein and Lynne Regan. His thesis centered on large-scale computational annotation and interpretation of personal genomes/exomes, using protein science, network biology and functional genomics. He has extensive experience in managing, analyzing and interpreting molecular data: data from DNA sequencing technologies (microarray, whole exome and whole genome), RNA-seq, ChIP-seq and protein sequences and structures.
Jieming's current interest lies at the intersection of precision medicine, translational informatics and big data analytics. He presently works in the fields of organ transplant and genome interpretation, leveraging informatic and machine-learning methods in clinical data - clinical trials, electronic health records and drug repositioning - to bring more direct impact to patients.
, protein science
, organ transplantation
, population genetics
, population structure
, synthetic biology
, systems biology
, electronic health records
, drug repositioning
, data science
, machine learning
, deep learning
, clinical and translational informatics
, open data
, data privacy
, ethnic groups
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