School of Medicine
Showing 1,001-1,068 of 1,068 Results
-
Sierra Hewett Willens
MD Student with Scholarly Concentration in Informatics & Data-Driven Medicine / Women's Health - Sexual & Gender Minority Health, expected graduation Spring 2025
BioSierra Willens is a medical student at Stanford interested in the intersection of healthcare and technology. In 2018 she was awarded a fellowship with Guangzhou Women and Children's Hospital to conduct AI research designed to combat socioeconomic and geographic barriers to medicine through scientific innovation. Her contributions have been recognized through numerous accolades with publications in Cell and Nature Medicine and over 3K citations in the literature. Her projects range from developing AI models for early detection of retinal diseases to predicting preterm birth and craniofacial abnormalities from perinatal ultrasounds, and assessing post-operative surgical outcomes using automated hand keypoint detection. Sierra has published seven chapters, served as a reviewer for medical journals, and was a contributor to the book, “Regenerative Facial Surgery.” Her work on regenerative facial aesthetics earned the Tiffany Award for Best Scientific Presentation. Through these pursuits, he research has earned her the Discovery Grant, Innovation Grant, and a year-long research fellowship from Stanford's MedScholars program. Lastly, Sierra received the Special Projects Initiatives Funding (SPIF) grant for cofounding Stanford's new MEDXBioDesign student initiation: a coalition between Biodesign and Stanford School of Medicine, designed to lead future generations of physicians on how to become critical, impactful collaborators in the sector of health care innovation.
-
Timothy Ting-Hsuan Wu
MD Student, expected graduation Spring 2024
Ph.D. Student in Biochemistry, admitted Summer 2021
MSTP Student
Casual - Non-Exempt, Medicine - Med/Pulmonary, Allergy & Critical Care MedicineCurrent Research and Scholarly InterestsMolecular and cellular basis of lung development, renewal and disease;
Single cell analysis of SARS-CoV-2 lung infection;
Vascular inflammation and immune dysregulation in pulmonary hypertension. -
Xianghao Zhan
Ph.D. Student in Bioengineering, admitted Autumn 2019
Ph.D. Minor, Biomedical Data Science
Student Employee, DASHBioXianghao Zhan is a 5th -year Ph.D. candidate at Stanford Bioengineering. He 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, he 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 18 peer-reviewed articles as a first/co-first author (IF 131.3) 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, with 4 first-author journal articles under review. He has been a peer reviewer for 16 journals including Annals of Biomedical Engineering, Journal of Neurotrauma, Computer methods in biomechanics and biomedical engineering.
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 (12/23,000), Ten most Preeminent Students of Zhejiang University (10/36,000), 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 13 Stanford Intramural champions (10 volleyball, 3 tennis) and two medals from regional volleyball tournaments. He enjoys the sport passion and team spirits as a captain. -
Harrison G. Zhang
MD Student, expected graduation Spring 2028
MSTP Student
grad student, Institute for Human-Centered Artificial Intelligence (HAI)BioMD-PhD candidate in the Stanford University Medical Scientist Training Program.