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Bin Chen, PhD

Principal Investigator, Assistant Professor (CV)

Prior to this position, Bin was a faculty member at UCSF for three years. Bin trained as a chemist in college, worked as a software engineer before graduate school, trained as a chem/bioinformatician in graduate school, worked as a computational scientist at Novartis, Pfizer and Merck. He received his PhD in informatics at Indiana University, Bloomington and pursued his postdoctoral training in Dr. Atul Butte's lab at Stanford University. Bin co-founded DahShu, a non-profit organization to promote research and education in data sciences.

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Ke Liu, PhD

Postdoctoral Scholar

Ke received the BA in computer science at Shandong University in 2008 and the PhD in biology at Tsinghua University in 2014. He then pursued his postdoctoral training at UC Berkeley before joining Chen lab in 2018. He is interested in integrating multiple omics data (e.g., RNA-Seq, Chip-Seq) to discover new therapeutics for complex diseases (especially lung cancer). He is also interested in bioinformatics tool development.

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Patrick Newbury, MD


Patrick received his BS in Human Biology from Michigan State University in 2013 and his MD at MSUCHM in 2018. He joined the Chen lab in 2018. He is interested in tissue simulation, radiomics, biogerontology, and precision medicine through machine learning. He plans to train in diagnostic radiology with the goal of improving computer-aided diagnosis. His hobbies include snowsports, lockpicking, and studying ethics.

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Rama Shankar, PhD

Postdoctoral Scholar

Rama completed M.Sc. Biotechnology from University of Hyderabad, India in 2010 and PhD in computational biology from Jawaharlal Nehru University, India in 2018. He joined Dr. Bin Chen group in 2018. He is interested to apply single cell transcriptomic data into therapeutic discovery and integrate omics data to study drug resistance in cancers including breast cancer.

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Billy Zeng

MD student at UCSF

Billy is interested in applying deep learning into drug discovery.


Tom Hu

Graduate student at UC Berkeley (Dr. Haiyan Huang's lab)

Tom is interested in applying deep learning and statistical modeling into drug discovery. He is developing a method to address inconsistency of pharmacogenomics data.


Anthony Sciarini

Computer science undergraduate student

Anthony works on the web portal development.


Keith Schmitt

Computer science undergraduate student

Keith is interested in applying deep learning into health care and drug discovery.


Shreya Paithankar

Biomedical informatics MS student

Shreya works on cancer model evaluation.


Anita Wen

Summer intern from UC Davis

As a graduate student in Pharmacology and Toxicology, Anita is helping develop our computational drug discovery pipeline.



2018 summer party 1

2018 summer party 2


Jordan Spatz Medical student UCSF
Michael F. Sharpnack Medical student, volunteer Ohio State University
Reuben Sarwal Summary Intern Undergraduate, UC Berkeley
Tanisha Joshi Summary Intern High school
Jane Wei Summary Intern Undergraduate, Cornell University
Rachel (Menghua) Wu Summary Intern High school, accepted into MIT
Charles Pei Summary Intern High school, accepted into Harvard, co-mentored by Marina Sirota


  • Samuel So, MD (Asian Liver Center, Stanford)
  • Haiyan Huang, PhD (Department of Statistics, UC Berkeley)
  • Xin Chen, PhD (Department of Bioengineering and Therapeutic Sciences, UCSF)
  • Andrei Goga, MD, PhD (Department of Medicine, UCSF)
  • ISPY team (Breast cancer, UCSF)
  • John Gordan, MD, PhD (Gastrointestinal Oncology, UCSF)
  • Katie Kelley, MD (Liver cancer, Department of Medicine, UCSF)
  • Ben Glicksberg, PhD (Institute for Computational Health Sciences, UCSF)
  • Marina, Sirota, PhD (Institute for Computational Health Sciences, UCSF)
  • Dexter Hadley, MD, PhD (Institute for Computational Health Sciences, UCSF)