Stanford University
Showing 2,201-2,300 of 6,033 Results
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Asef Islam
Masters Student in Biomedical Data Science, admitted Winter 2023
Current Research and Scholarly InterestsAI in medicine and other fields, particularly ML and CV techniques
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Haruka Itakura, MD, PhD
Assistant Professor of Medicine (Oncology)
BioDr. Haruka Itakura is an Assistant Professor of Medicine (Oncology) in the Stanford University School of Medicine, a data scientist, and a practicing breast medical oncologist at the Stanford Women’s Cancer Center. She is board-certified in Oncology, Clinical Informatics, Hematology, and Internal Medicine. Her research mission is to drive medical advances at the intersection of cancer and data science, applying state-of-the-art machine learning/artificial intelligence (AI) techniques to extract clinically actionable knowledge from heterogeneous multi-scale cancer data to improve patient outcomes. Her ongoing research to develop robust methodologies and apply cutting-edge techniques to analyze complex cancer big data was catapulted by an NIH K01 Career Development Award in Biomedical Big Data Science after obtaining a PhD in Biomedical Informatics at Stanford University. Her cancer research focuses on extracting radiomic (pixel-level quantitative imaging) features of tumors from medical imaging studies and applying machine learning frameworks, including radiogenomic approaches, for the integrative analysis of heterogeneous, multiomic (e.g., radiomic, genomic, transcriptomic) data to accelerate discoveries in cancer diagnostics and therapeutics. Her current projects include data science/AI-powered prediction modeling of survival, treatment response, cancer recurrence, and metastasis in different cancer subtypes; detection of occult invasive breast cancer; and identification of novel therapeutic targets. Her goal is to translate her research findings back to the clinical setting for the benefit of patients with difficult-to-treat cancers.
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Sarah Izabel
Ph.D. Student in Neurosciences, admitted Summer 2022
BioSarah was born and raised in Brazil where she attended law school before moving to the United States and shifting her interest to Neuroscience. She completed majors in Biology and Psychology at Virginia Commonwealth University (VCU) in 2020. At VCU, Sarah was part of the NIH-IMSD program and worked on uncovering mechanisms of axonal pathology in the lab of Dr. Jeff Dupree. She also worked with a clinical sample to identify the effects of income insecurity on decision-making in people with cocaine use disorder (CUD), in the lab of Dr. James Bjork. After graduating, Sarah went to the National Institutes of Health (NIH) as a UGSP Research Fellow and characterized a progranulin knockout mouse model in the lab of Dr. Alan Koretsky. She returned to her clinical research work in her second year at NIH in the lab of Dr. Vijay Ramchandani, where she worked to understand the relationship between neurological domains underlying Alcohol Use Disorder (AUD). At Stanford, Sarah is interested in treating and managing neuropsychiatric disorders and increasing access to participation in clinical research studies. Sarah is a RAISE fellow, a NIDA START Fellow, and an intern project manager for the Recovery Incentives Program.
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Amanda Jackson
Masters Student in Earth and Planetary Sciences, admitted Summer 2025
BioI’ve long been fascinated with volcanoes, and my research interests broadly include igneous petrology, trans-crustal magmatic systems, high temperature geochemistry, and geo/thermochronology. My first PhD project explores the formation of Catalina Island and investigates pluton assembly in continental rift settings. In my free time, I enjoy hiking, camping, backpacking, reading, yoga, and playing with my cat, Carl.
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Bhav Jain
MD Student with Scholarly Concentration in Health Services & Policy Research / Surgery, expected graduation Spring 2028
BioBhav Jain is pursuing an MD at the Stanford School of Medicine as a Knight-Hennessy Scholar, Harry S. Truman Scholar, and Samvid Scholar. He graduated from the Massachusetts Institute of Technology (MIT) with a bachelor’s degree in computer science and brain and cognitive sciences. At MIT, he was a Legatum Fellow and received the 40 Under 40 in Cancer Award.
His research on healthcare delivery, social determinants of health, and value-based care has been published in outlets such as Nature Medicine, The Lancet Digital Health, JAMA Oncology, Journal of the National Cancer Institute, American Journal of Public Health, Cancer, Journal of the American College of Surgeons, Journal of General Internal Medicine, and American Journal of Managed Care. While at MIT, he launched The Connected Foundation, which forges intergenerational connections between youth and seniors, and Compass, an SMS platform that streamlines patient intake and scheduling. Most recently, he served as a Fellow at the Boston Public Health Commission to implement interventions aimed at curbing substance abuse and homelessness. As a physician-policymaker, Bhav aspires to create high-value, evidence-based healthcare systems that transform clinical care globally. In particular, he seeks to innovate at both public- and private-sector organizations during his career to improve the quality of and lower the cost of patient care. -
Yash Jain
MBA, expected graduation 2026
BioYash is an MBA candidate at the Stanford GSB (Class of 2026).
Prior to Stanford, he worked at McKinsey & Company and later at Careem (an Uber company), where he helped build and scale Careem Pay, one of the fastest-growing fintech platforms in the Middle East. His work focused on strategy, digital payments, and launching new products across emerging markets - specially in the Middle East.
At Stanford, Yash is exploring new ventures at the intersection of technology and entrepreneurship. He is driven by a broader goal of creating lasting impact - building institutions, products, and communities that leave things better than they were and open doors for people who may never have believed those doors were meant for them. -
Jlateh Vincent Jappah
Ph.D. Student in Health Policy, admitted Autumn 2021
Master of Arts Student in Economics, admitted Spring 2024BioJlateh Vincent Jappah is a PhD Candidate in Health Policy (Health Economics) at Stanford. His research interests intersect between methods that enhance access to the social determinants of health and the provision of appropriate and timely healthcare services, with the aim of reducing avoidable morbidity and mortality and improving overall health and well-being, especially for underserved and vulnerable populations.
Jappah contends that although health insurance and access to healthcare services are important elements in the health production function, other structural and socio-economic factors collude to either foster or erode health. As such, he has a keen interest in public policy, economics, medicine, global public health, maternal and child health, and a curiosity to understand those socio-political and institutional forces that shape health and well-being. He is also interested in machine learning and artificial intelligence in healthcare.
In addition to the United States, Jappah has lived and worked in several countries in Africa, Asia, and Europe.
He is bi-lingual (English and Russian). -
Rishabh Jha
MBA, expected graduation 2026
BioRishabh is an MBA Candidate at the Stanford Graduate School of Business.
Rishabh was trained as a Materials Engineer at IIT Roorkee in India. Before joining Stanford, he was a product manager at Bain and Company, building scalable AI powered software platforms.
At GSB, Rishabh focuses on space technology, having spent a summer at Aadyah Space where he led their USA go-to-market strategy. His long term ambition is to specialise in microgravity manufacturing, turning in-orbit production from concept to commercial reality.
Outside work, he enjoys flying planes as a private pilot and caring for his thriving collection of indoor plants. -
Haoran Jia
Masters Student in Statistics, admitted Autumn 2024
BioHello! I'm Haoran Jia, a M.S. Statistics Data Science candidate. With proficiency in Python, R, and SQL, I have prior experience in providing data science insights for startups, developing ML models for data science software, and researching topics related to deep learning and statistical inference. My passion for data science drives me to continuously engage in projects in the fields of DS, ML, and LLM.
