School of Medicine
Showing 51-77 of 77 Results
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Justin Norden, MD, MBA, MPhil
Adjunct Professor, Med/BMIR
BioDr. Justin Norden is an Adjunct Professor at Stanford Medicine in the Department of Biomedical Informatics Research. He teaches courses on digital health and AI in Medicine. His research focuses on AI in healthcare, digital health, and care system transformation.
Additionally, Dr. Norden is a Partner at GSR Ventures where he focuses on early-stage investments in digital health and AI/ML in healthcare. Prior to GSR Ventures, Dr. Norden was founder and CEO of Trustworthy AI which was acquired by Waymo (Google Self-Driving). He worked on the healthcare team at Apple, co-founded Indicator (an NLP based platform for biopharma decision making), and helped start the Stanford Center for Digital Health.
Dr. Norden received an MD from Stanford University School of Medicine, where he served as student body president. An MBA from the Stanford Graduate School of Business, where he served as president of the healthcare club. An M.Phil in Computational Biology with distinction from the University of Cambridge, and a BA in Computer Science with distinction from Carleton College.
Finally, he is a professional athlete for the Oakland Spiders (ultimate frisbee) - holding the team all-time records for assists and completions. He is a 3x World Champion, 1x professional champion, former Team USA Captain (U24), and D1 University National Champion. -
Natalie Pageler
Clinical Professor, Peds/Clinical Informatics
Clinical Professor, Medicine - Biomedical Informatics ResearchCurrent Research and Scholarly InterestsIn my administrative role, I oversee the development and maintenance of clinical decision support tools within the electronic medical record. These clinical decision support tools are designed to enhance patient safety, efficiency, and quality of care. My research focuses on rigorously evaluating--1) how these tools affect clinician knowledge, attitudes, and behaviors; and 2) how these tools affect clinical outcomes and efficiency of health care delivery.
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Malvika Pillai
Postdoctoral Scholar, Biomedical Informatics
BioMalvika Pillai is a postdoctoral research fellow in the VA Big Data Scientist Training Enhancement Program (BD-STEP), jointly in Stanford University in Medicine (Biomedical Informatics) in the Boussard Lab and VA Palo Alto. She received her BS in Quantitative Biology and PhD in Health Informatics from the University of North Carolina at Chapel Hill. Her current work focuses on developing, evaluating, and implementing fair artificial intelligence/machine learning (AI/ML) models that can lead to high-quality, patient-centered care.
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Thomas Robert Savage
Masters Student in Biomedical Informatics, admitted Autumn 2022
BioDr Thomas Savage is a Hospitalist at Stanford University Hospital. He teaches residents and medical students on the general medicine service as well as covers the oncology, cardiology and transplant services as a nocturnist. His research interests include artificial intelligence applications to medicine and wearable medical devices.
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Nigam H. Shah, MBBS, PhD
Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Current Research and Scholarly InterestsWe answer clinical questions using aggregate patient data at the bedside. The Informatics Consult Service (https://greenbutton.stanford.edu/) put this idea in action and led to the creation of Atropos Health. We build predictive models that allow taking mitigating actions, keeping the human in the loop.
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Bo Xiong
Postdoctoral Scholar, Biomedical Informatics
Current Research and Scholarly InterestsMachine learning, knowledge representation
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Xianghao Zhan
Postdoctoral Scholar, Biomedical Informatics
BioXianghao Zhan is a postdoctoral researcher at Stanford Department of Biomedical Data Science, mentored by Prof. Olivier Gevaert. Previously, he obtained his Ph.D. from Stanford Bioengineering with a Ph.D. minor in Biomeidcal Data Science in June 2024. During his Ph.D. at Stanford, he also obtained his M.S in Bioengineering in 2021 and his M.S in Statistics in 2023 both at Stanford. Before that he got B. Eng. in Control Science and Engineering (Automation) and his B. Art in English Language and Literature with Summa Cum Laude at Chu Kochen Honors College, Zhejiang University, China, in 2019.
Under the guidance of Prof. Oliver Gevaert and Prof. David B. Camarillo, his PhD research mainly focuses on the optimization of computational modeling of traumatic brain injury with machine learning and animal modeling based on biomechanical and radiological data. His research interests and projects also extend to the data mining of free-text clinical notes with natural language processing, biomedical data fusion for COVID-19 patient outcome prediction, machine learning reliability quantification with conformal prediction, reliability-based semi-supervised learning, and domain adaptation for biomedical sensory systems (with artificial olfaction systems and surface electromyography systems). He has published 20 peer-reviewed articles as a first/co-first author (IF 140.6) in such journals as NPJ Digital Medicine, IEEE Transactions on Biomedical and Health Informatics, IEEE Transactions on Biomedical Engineering, Journal of Sport and Health Science, Journal of Biomechanics, with 4 first-author journal articles under review. He has been a peer reviewer for 22 journals including Annals of Biomedical Engineering, Journal of Neurotrauma, Computer methods in biomechanics and biomedical engineering, Communication Medicine, Scientific Reports.
In addition to his research, he has two master degrees while pursuing his Ph.D. degree: BIOE 2021 and STATS 2023. He has taken more than 10 data science and machine learning courses at Stanford with course project experiences and technical background with UNet-based image segmentation, BERT, Transformer-XL, DeepSEA, BPNet, VAE/SSVAE, flow model, energy-based model cycle-GAN, CNN-based image classification, LSTM-based clinical event prediction, Bi-LSTM-based neural machine translation, BERT, DCT/DWT/STFT, PCA, DRCA, NFL, convex optimization.
His research is recognized by the field and he was awarded with IET Postgraduate Research Award for an Outstanding Researcher (one awardee across the globe, first Chinese), Siebel Scholar Class of 2024, IET Healthcare Technology William James Award (one awardee across the globe), Stanford Interdisciplinary Graduate Fellowship (highest honor for interdisciplinary Stanford graduates), Pfeiffer Research Foundation Fellow, AMIA Trainee Award (six awardees, the only Chinese), American Society of Neurotrauma Trainee Award (20 awardees, the only Chinese), Chu Kochen Scholarship (12 undergrad awardees each year), Ten most Preeminent Students of Zhejiang University (10 awardees each year), Chinese National Scholarship (Top 0.2%).
He is dedicated to support underrepresented minorities. He has been a program leader for Stanford Summer Research Program and mentored 3 undergrads from the underrepresented minorities. He has been a research mentor at Foothill College for two years and mentored latino students from local community college. Additionally, he is a sports fan with 15 Stanford Intramural champions (12 volleyball, 3 tennis) and two medals from regional volleyball tournaments. He enjoys the sport passion and team spirits as a captain.
