School of Medicine
Showing 1-10 of 19 Results
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 with Scholarly Concentration in Molecular Basis of Medicine / Cancer Biology, 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.
MD Student, expected graduation Spring 2021
Bio Timothy is an MD/PhD student studying cancer biology and biomedical informatics at the Stanford University School of Medicine. He is a joint member of Kara Davis's laboratory in the Department of Pediatrics and Garry Nolan's Laboratory in the Department of Pathology.
As a biomedical data scientist, Timothy's research focuses on the application of machine learning to single-cell data analysis in the context of pediatric leukemia. Through the use of emerging, high-throughout single-cell technologies such as mass cytometry and sequence-based cytometry, Timothy's research is designed to build predictive models of patient outcomes - such as relapse or minimal residual disease (MRD) - at the point of diagnosis. To do so, he uses a variety of computational tools including generalized linear models, clustering, and deep learning. In addition, his work prioritizes constructing easy-to-use, highly-reproducible data analysis pipelines that can be shared as open-source tools for the scientific community.
Outside of science, Timothy has a longstanding interest in human rights and social justice work among members of the lesbian, gay, bisexual, transgender, and queer (LGBTQ+) community. He currently serves as the resident data scientist for the Medical Student Pride Alliance (MSPA), a 501(c)(3) non-profit organization that advocates for diversity, equity, and inclusion for LGBTQ+ medicals students in medical schools across the United States. As a data scientist at MSPA, Timothy analyzes and visualizes data to guide MSPA's strategic decision-making as well as for academic publication. He also advises and mentors other student members of MSPA performing data analysis in Python and R.
In recognition of his accomplishments, Timothy has received several institutional and national award for both research and advocacy. These include a National Research Service Award (NRSA) from the National Cancer Institute, a Junior Leadership Award from the Building the Next Generation of Academic Physicians (BNGAP) LGBT Workforce, Stanford Medicine?s Integrated Strategic Plan Star Award, and a Point Foundation Scholarship.