School of Medicine
Showing 1-50 of 57 Results
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Sam Bollinger
Ph.D. Student in Cancer Biology, admitted Autumn 2021
BioOriginally from State College, Pennsylvania, Sam graduated with honors from Penn State University with a B.S. in Chemistry and a minor in Biology. He subsequently spent three years working at the Lankenau Institute for Medical Research for Dr. Ellen Heber-Katz. Sam hopes to expand the paradigm of cancer research and help to develop novel therapies for cancer and other ailments. He is also interested in optimization of physical and mental performance.
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Benjamin I. Chung
Associate Professor of Urology
Current Research and Scholarly InterestsRenal cell carcinoma and prostate cancer outcomes research and epidemiology.
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Noah Greenwald
Ph.D. Student in Cancer Biology, admitted Autumn 2017
Current Research and Scholarly InterestsUsing 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
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Haruka Itakura, MD, PhD
Assistant Professor of Medicine (Oncology)
BioDr. 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.
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Kiarash Shamardani
Ph.D. Student in Cancer Biology, admitted Summer 2019
Current Research and Scholarly InterestsInterested in a systems neuroscience approach to understanding the interaction of tumor cells and their microenvironment in brain cancer. I am studying the neuron-glioma interactions at the circuit level to discern how patterns of activity within a neuron-glioma network influences the behavior of the cancer as a whole.