Meet the Team
We are a highly collaborative team of computer scientists, bioinformaticians, bench-trained immunologist and clinicians. We strive to create an environment where people with different areas of expertise work closely together to better understand human immune system to improve clinical care.
Dr. Khatri is an electronics and communications engineer turned software engineer turned computational systems immunologist. He is an associate professor in Institute for Immunity, Transplantation and Infection and Division of Biomedical Informatics Research in Department of Medicine at Stanford University. His research focuses on developing novel methods for leveraging heterogeneity present across independent cohorts to better understand human immune system for developing novel diagnostics and therapies for inflammatory diseases including autoimmune and infectious diseases, organ transplant and cancer. Download CV and NIH biosketch.
Denis Dermadi Bebek
Denis is interested in single cell technologies and the development of methods to analyze data from them.
Medical Fellows & PostDocs
Ben Solomon, MD, PhD
We have a range of stages represented: high school students, undergraduates, graduate students, and medical students
Ananth is a graduate student in the Computational and Mathematical Engineering program working on developing computational tools to perform integrative analysis of data from multiple fronts.
These alumni have moved to new ventures
Aditya is a graduate student in the Immunology Program developing statistical approaches to generate infectious disease diagnostics.
Lawrence is a graduate student in the Immunology Program working on better understanding inflammatory bowel disease from a systems biology perspective.
Kelly McGill is a graduate student who is interested in studying the sex differences in autoimmune diseases with both computational and traditional methods.
Simone Thair is a postdoctoral research fellow analyzing large repositories of data to understand the basic biology of the human immune response to severe infections (sepsis and septic shock).
Steven is data scientist / biostatistician who is interested in the intersection of computer science and immunology. He received his PhD from Stanford.
Tej Deepak Azad
Robbie’s work centers on applying deep learning to a number of large scale datasets related to medicine, genomics, transcriptomics, etc. Previously, Robbie worked at NVIDIA, developing and training neural networks for “Drive-IX”, NVIDIA’s upcoming self-driving car platform.
Andrew got his BA and MS in math and computer science at Harvard, and is now applying those skills to impact disease and human health.
Sudeb was a Clinical Fellow in Infectious Diseases interested in understanding host immunity in chronic complex infections, including HIV, viral hepatitis, and herpesviruses, in order to identify new diagnostic strategies, biomarkers and drug therapies.