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)||Computational Biology||2008|
|Yale University||Ph.D||Computational Biology and Bioinformatics||2015|
Prior to UCSF, Jieming completed his undergraduate degree at the National University of Singapore and worked at the Genome Institute of Singapore as a bioinformatics specialist on population genetics, with a focus on population structure. 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 molecular data, in DNA sequencing (microarray, whole exome and whole genome), RNA-seq, ChIP-seq and protein sequence and structure analyses.
Jieming's current interest lies at the intersection of personalized and translational medicine and big data analytics. He presently works in the fields of organ transplant and asthma, leveraging bioinformatic and machine-learning methods in clinical data - clinical trials, electronic health records and drug repositioning - to bring more direct impact to patients.
genomics, protein science, organ transplantation, asthma, population genetics, population structure, pharmacogenomics, synthetic biology, systems biology, networks, electronic health records, drug repositioning, biotechnology, data science, machine learning, deep learning, bioinformatics, clinical and translational informatics, open data, data privacy, gender, ethnic groups, squash
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