School of Medicine
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Ph.D. Student in Cancer Biology, admitted Autumn 2014
Current Research and Scholarly Interests As part of my graduate work I developed ImmunoGlobe, a map of the immune intercellular interactome that describes how immune cells and immune system components interact to drive immune responses. By structuring our knowledge of immune interactions into a directional graph, ImmunoGlobe makes it easy to explore the relationships between components of the immune system. An interactive version of the network is available online at immunoglobe.org.
Benjamin I. Chung
Associate Professor of Urology at the Stanford University Medical Center
Current Research and Scholarly Interests Renal cell carcinoma and prostate cancer outcomes research and epidemiology.
Instructor, Medicine - Gastroenterology & Hepatology
Current Research and Scholarly Interests The overall goal of my research is to understand the molecular pathogenesis of liver cancer and identify biologically relevant prognostic biomarkers and molecular targets for therapy in patients with hepatocellular carcinoma (HCC). My long-term objective is to improve the clinical outcome of patients with liver cancer.
Ph.D. Student in Cancer Biology, admitted Autumn 2017
Current Research and Scholarly Interests Using deep learning to analyze multiplexed imaging data; profiling the tumor microenvironment to predict response and resistance to checkpoint blockade; integrating genomics, transcriptomics, and imaging to understand how changes in DNA and RNA affect phenotypes at the protein level
Gunsagar S. Gulati
MD Student, expected graduation Spring 2021
Current Research and Scholarly Interests Application of single-cell RNA-sequencing to uncover tumor heterogeneity
Assistant Professor of Medicine (Oncology) at the Stanford University Medical Center
Bio Dr. Itakura is an Assistant Professor of Medicine (Oncology) in the Stanford University School of Medicine and practicing oncologist at the Stanford Cancer Center with background in biomedical informatics. She is a physician-scientist whose research mission is to drive medical advances at the intersection of cancer and data science research. Specifically, she aims to innovate state-of-the-art technologies to extract clinically useful knowledge from heterogeneous multi-scale biomedical data to improve diagnostics and therapeutics in cancer. She is a board-certified hematologist-oncologist and informaticist with specialized training in basic science, health services, and translational research. Her clinical background in oncology and PhD training in Biomedical Informatics position her to develop and apply data science methodologies on heterogeneous, multi-scale cancer data to extract actionable knowledge that can improve patient outcomes. Her ongoing research to develop and apply cutting-edge knowledge and skills to pioneer new robust methodologies for analyzing cancer big data is being supported by an NIH K01 Career Development Award in Biomedical Big Data Science. Her research focuses on developing and applying machine learning frameworks and radiogenomic approaches for the integrative analysis of heterogeneous, multi-scale data to accelerate discoveries in cancer diagnostics and therapeutics. Projects include prediction modeling of survival and treatment response, biomarker discovery, cancer subtype discovery, and identification of new therapeutic targets.