School of Medicine
Showing 31-40 of 150 Results
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Scott Fleming
Ph.D. Student in Biomedical Data Science, admitted Autumn 2018
BioScott Fleming is a Ph.D. Student in Stanford's Biomedical Informatics Training Program, Department of Biomedical Data Science. He completed his B.S. in Mathematical and Computational Science at Stanford University. During that time, he worked with Dr. Leanne Williams to build pipelines for analyzing heterogeneous, high-dimensional datasets in order to discover patterns of brain activity that contribute to anxiety and depression. His most recent work has focused on developing machine learning methods to make accurate and effective crowd-powered diagnoses for children with autism and other developmental disorders.
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Andrew Gentles
Assistant Professor (Research) of Pathology, of Medicine (BMIR) and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsComputational systems biology
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Olivier Gevaert
Associate Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Current Research and Scholarly InterestsMy lab focuses on biomedical data fusion: the development of machine learning methods for biomedical decision support using multi-scale biomedical data. We primarily use methods based on regularized linear regression to accomplish this. We primarily focus on applications in oncology and neuroscience.
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Li Gong
Scientific Data Curator 3, Biomedical Data Science
Current Role at StanfordI am a senior scientific curator at PharmGKB, and also serves as the program manager for the Stanford ClinGen team and coordinator for the ClinGen Pharmacogenomics Working Group.
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Fangqing Gu
Casual - Non-Exempt, Biomedical Data Science
BioFangqing (Fey) Gu is a dedicated and accomplished professional with a Bachelor of Arts in Psychology from the University of California, Davis. Fey's academic pursuits also include minors in Education, Communication, and East Asian Studies. As a member of Psi Chi and Phi Beta Kappa, Fey has consistently demonstrated a commitment to academic excellence and intellectual curiosity.
Fey has a strong research interest in cognitive psychology, particularly in the area of language development. This passion for understanding the intricacies of human cognition and communication has driven Fey to explore various facets of language acquisition, processing, and the cognitive mechanisms that underlie these processes.
Fey's work experience includes serving as a Research Assistant at the Stanford Psychophysiology Lab and the Social Inference Lab at UC Davis. In these roles, Fey excelled in recruiting and interviewing study participants, conducting literature reviews, and collecting data. Their strong analytical skills and attention to detail have contributed to the success of various research projects, particularly those related to language and cognitive development.
In addition to their research roles, Fey gained valuable experience in working with children through several hands-on positions.As a Psychology Assistant at the Educational Institute of Putuo District and Putuo Qixing School, Fey conducted assessments for incoming students with disabilities, evaluated students, and assisted in diagnostic and therapeutic procedures. As a volunteer Elementary Educator at Sunshine Cottage School for Deaf Children, Fey provided one-on-one tutoring for Hispanic children with hearing disabilities and facilitated team-building activities to maintain a comfortable environment. These experiences have honed Fey's ability to work effectively with diverse groups of children, fostering empathy, understanding, and a dedication to creating inclusive learning environments.
With strong interpersonal skills and a passion for understanding human behavior, especially in the realm of language development, Fey is poised for continued success at Stanford University -
Trevor Hastie
John A. Overdeck Professor, Professor of Statistics and of Biomedical Data Sciences
On Partial Leave from 01/01/2024 To 03/31/2024Current Research and Scholarly InterestsFlexible statistical modeling for prediction and representation of data arising in biology, medicine, science or industry. Statistical and machine learning tools have gained importance over the years. Part of Hastie's work has been to bridge the gap between traditional statistical methodology and the achievements made in machine learning.