We are a diverse team of scientists, physicians, and students at the Bakar Computational Health Sciences Institute(BCHSI)

Atul Butte, PhD
Atul Butte, MD, PhD Professor
Atul Butte, MD, PhD, Professor, Director of UCSF’s Institute for Computational Health Sciences (ICHS). Former Professor of Pediatrics and Genetics, and by courtesy, Medicine, Pathology, and Computer Science, at Stanford University and Lucile Packard Children’s Hospital. Dr. Butte trained in Computer Science at Brown University, worked as a software engineer at Apple and Microsoft, received his MD at Brown University, trained in Pediatrics and Pediatric Endocrinology at Children’s Hospital Boston, then received his PhD in Health Sciences and Technology from Harvard Medical School and MIT. Dr. Butte is Chief of the new Division of Systems Medicine at Stanford. Dr. Butte is also a founder of three investor-backed companies: Personalis, providing clinical interpretation of whole genome sequences, Carmenta, discovering diagnostics for pregnancy complications, and NuMedii, finding new uses for drugs through open molecular data. Dr. Butte has authored more than 160 publications, with research repeatedly featured in Wired Magazine, and in the New York Times Science Times and the International Herald Tribune (2008), Wall Street Journal (2010 -2012), San Jose Mercury News (2010), and the San Francisco Chronicle (2013). In 2013, Dr. Butte was recognized by the White House as an Open Science Champion of Change for promoting science through publicly available data. Other recent awards include the 2013 induction into the American Society for Clinical Investigation, the 2012 FierceBiotech IT “Top 10 Biotech Techies”, 2011 National Human Genome Research Institute Genomic Advance of the Month, 2010 Society for Pediatric Research Young Investigator Award, and the 2008 AMIA New Investigator Award.
Sanchita Bhattacharya, PhD Bioinformatics Project Leader
Sanchita Bhattacharya is currently leading the efforts to leverage open-access clinical trials and research data from ImmPort, a National Institute of Allergy and Infectious Diseases Division of Allergy, Immunology, and Transplantation (NIAID-DAIT) sponsored shared data repository for subject-level human immunology study data and protocols. Her projects involve “The 10,000 Immunomes Project”, a diverse human immunology reference derived from over 44,000 individuals across 291 studies. Sanchita comes with over sixteen years of work experience as a data scientist at various academic institutions such as Stanford School of Medicine, Lawrence Berkeley National Laboratory, and MIT. Her formal training in bioinformatics coupled with expertise in computational modeling and immunology has led to a number of publications demonstrating the repurposing of big data in Immunology and other research areas to facilitate translational research.
Marie Binvignat, MD Visiting Scholar
Marie is a resident in Rheumatology from France, and a PhD student in System Biology at Sorbonne Universite in Paris. She completed a master’s degree in Immunology at Institut Pasteur and Sorbonne Université and received her MD from University of Paris. She has a strong interest in computational biology, multi-omics and machine learning approaches especially in osteoarthritis and rheumatoid arthritis.
Andrew Bishara, MD Assistant Professor
Andrew completed his undergraduate degree at Massachusetts Institute of Technology in the department of mechanical engineering. He then received his MD from Harvard Medical School. He completed residency in anesthesia and perioperative Care at University of California, San Francisco and is a board certified anesthesiologist. Andrew is an NIH T32 post-doctoral research fellowship recipient and a clinical instructor in the department of anesthesia and perioperative care at UCSF. He spends part of his week as a clinical anesthesiologist and the rest of his time applying artificial intelligence to medicine through machine/deep learning techniques for time series analysis, imaging, language processing, and decision support.
Jaysón Davidson PSPG PhD Student
Jaysón Davidson is currently a PhD student with the Pharmaceutical Sciences and Pharmacogenomics program. He completed his undergraduate degree in Biochemistry at Hampton University in Hampton, VA where he also played Division I football and completed a post-baccalaureate program at Baylor College of Medicine in Biomedical Science before coming to UCSF. In the Butte Lab, he is extremely interested in clinical informatics with the intent to develop methods to effectively stratify the differences in disease and drug response outcomes between populations with different social determinants to improve healthcare.
Gregory Goldgof, MD, PhD Postdoctoral Fellow
Greg is currently a postdoctoral fellow in the Butte lab and a resident in the Physician Scientist Pathway in the department of Laboratory Medicine, where he is developing artificial intelligence and deep learning applications with a focus on laboratory medicine, hematopathology, and diseases of the blood, bone marrow, and immune system. Greg previously double-majored in Computer Science and Biological Sciences at Stanford University. He then received a Masters in Bioengineering at Stanford, followed by a Whitaker International Bioengineering research fellowship at Imperial College London. Next, Greg received an MD/PhD from the Medical Scientist Training Program at UC San Diego. During his PhD, he combined computational and wet-lab approaches to discover and characterize novel drug targets with applications in parasitology, mycology and cancer, for which he was the recipient of three Bill and Melinda Grand Challenge Exploration grants.
Zicheng Hu, PhD Assistant Professor
Zicheng completed his undergraduate degree at the Hong Kong University of Science and Technology. After that, he moved to The University of Texas at Austin, where he earned his Master’s degree in Statistics and PhD in Cell and Molecular Biology from Lauren Ehrlich’s lab. He used knock-out mouse models to study the roles chemokine receptors play in the autoimmune diseases. Currently, he is focused on characterizing dynamics of the human immune system using high through-put data.
Andrew Jan, MA Chief of Staff
Andrew Jan is chief of staff to Atul Butte, MD, PhD. Andrew has previous work experience at UC Berkeley and UC Office of the President, UC Education Abroad Program. He holds a master’s degree in History from UCLA; a master’s degree in Middle Eastern Studies from UT Austin; and bachelor’s degrees from UC San Diego. In that capacity, he participated in study abroad in Cairo, Egypt; Salalah, Oman; and Istanbul, Ankara, and Cunda, Turkey. Andrew spends all of his free time with dogs, including wrangling his Pomeranian mix named Toby and volunteering at Oakland Animal Services.
Brenda Miao BMI PhD Student
Brenda is currently a PhD student with the Biomedical Informatics program. She completed her undergraduate degree in biology and computer science at Dartmouth College. In the Butte Lab, she is particularly interested in using computational immunology and clinical informatics to identify effective strategies for chronic disease management.
Boris Oskotsky, PhD Bioinformatics Systems Admin
Boris Oskotsky studied at Saint Petersburg Technical University where he earned a MS in Computers Science and a PhD in Solid State Physics. Previously worked at Stanford University in different departments within the School of Medicine including IRT, BMIR and Neurobiology. He loves tea and everything tea-related (e.g. teapots and teakettles). His favorite way to spend time is traveling with his wife.
Thomas A. Peterson, PhD Assistant Professor
Thomas is currently an Assistant Professor in the Bakar Computational Health Sciences Institute and the Department of Orthopaedic Surgery at UCSF. In addition, he is the Director of the Informatics Core for the UCSF REACH Center for Chronic Low Back Pain. After completing his PhD in Biology with focus on Biomedical Informatics and Computational Biology, Thomas continued his research in the Butte lab as a postdoctoral research scholar at UCSF. His current research interests include creating translational models and tools for clinicians using Electronic Health Records and other large datasets like nationwide surveys and claims databases while innovating using network-based risk factor analyses and machine / deep learning to create predictive models.
Kendra Radtke, PharmD, PhD Postdoctoral Fellow
Kendra is a T32 Clinical Pharmacology Postdoctoral Fellow. She received her PharmD and PhD from the University of California San Francisco. She is currently interested in applying computational methods to real-world data to determine safe and effective treatment strategies. Her background is in infectious diseases and pediatrics.
Harry (Shenghuan) Sun BMS PhD Student
Harry is a PhD student in Biomedical Sciences Program. He grew up in the beautiful coastal city of Dalian and completed his undergraduate degree at the Nankai University in China. Pursuing a PhD at UCSF, he is actively exploring the interface of biomedical researches and artificial intelligence for achieving precision medicine. In the Butte lab, he is applying deep learning approaches to large-scale medical/clinical data, especially interested in complex disease-related questions.
Madhumita Sushil, PhD
Madhumita Sushil, PhD Postdoctoral Fellow
Madhumita Sushil holds a PhD in clinical NLP and neural network interpretability from the CLiPS Research Center at University of Antwerp, Belgium. She was previously a research intern at the Brain applied team at Google Zürich, and has been extensively involved in academic service roles in the NLP community. She also holds a Masters degree in Language Science and Technology from Saarland University in Germany and a Computer Science degree from VIT University in India. Her research interest is to develop machine learning algorithms to understand the rhetoric and nuances in clinical text, and to use these insights for answering clinical research questions. She is particularly interested in developing interpretable deep learning models to develop clinical insights in the process.
Michelle Wang, DPharm
Michelle Wang, DPharm PSPG PhD Student
Michelle is currently a PhD student with the Pharmaceutical Sciences and Pharmacogenomics program. Michelle completed her undergraduate degree in chemistry at University of Washington and received her PharmD degree from the Ohio State University. Subsequently, she was involved in regulatory science development at the FDA before coming to UCSF. In the Butte Lab, she is very interested in clinical informatics and hopes to develop novel methods to use real-world data to help improve healthcare and drug development.
Daniel Wong
Daniel Wong BMI PhD Student
Daniel graduated from UC Berkeley in 2017 with degrees in Computer Science and Molecular and Cellular Biology. He is an aspiring PhD student who focuses on deep learning applied to medicine, computer vision, and blockchain technologies.
Travis Zach
Travis Zack Clinical Fellow
Travis completed his BA in Physics and Integrative Biology at UC Berkeley, followed by a PhD in Biophysics at Harvard University. He then attended the HST program of MIT/HMS for medical school before coming to UCSF for his medical training in Internal Medicine. He is now a UCSF Oncology fellow interested in predictive modeling of responses to cancer therapy using EMR and genomics datasets.


  • Jeff Wiser, Patrick Dunn, Mike AtassiNorthrop Grumman
  • Ashley Xia and Quan ChenNIAID
  • Takashi Kadowaki, Momoko Horikoshi, Kazuo Hara, Hiroshi Ohtsu U Tokyo
  • Kyoko Toda, Satoru Yamada, Junichiro IrieKitasato Univ and Hospital
  • Shiro MaedaRIKEN
  • Alejandro Sweet-Cordero, Julien SagePediatric Oncology
  • Mark Davis, C. Garrison FathmanImmunology
  • Russ Altman, Steve QuakeBioengineering
  • Euan Ashley, Joseph Wu, Tom Quertermous Cardiology
  • Mike Snyder, Carlos Bustamante, Anne Brunet Genetics
  • Jay Pasricha Gastroenterology
  • Rob Tibshirani, Brad Efron Statistics
  • Hannah Valantine, Kiran Khush Cardiology
  • Ken Weinberg Pediatric Stem Cell Therapeutics
  • Mark Musen, Nigam Shah National Center for Biomedical Ontology
  • Minnie Sarwal Nephrology
  • David Miklos Oncology