Stanford University
Showing 201-300 of 922 Results
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Hanfeng Zhai
Ph.D. Student in Mechanical Engineering, admitted Autumn 2023
BioWorking on combining multiscale and multiphysics computational modeling with scientific machine learning and design optimization for mechanical and materials design in various engineering fields in biomedicine, semiconductors, and manufacturing. Previous works include Bayesian optimization for antibiofilm surfaces, porous metamaterials, physics-informed learning for bubble dynamics, molecular dynamics of graphene, etc. Have industrial experience in multiscale modeling for semiconductor manufacturing at Tokyo Electron.
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Mayshu Zhan
Ph.D. Student in Modern Thought and Literature, admitted Autumn 2023
Current Research and Scholarly InterestsMy interdisciplinary research examines digital media through the lens of critical race, gender, and sexuality studies. I am primarily interested in investigating how we can leverage the power of media to reinvent and promote social equality. Specifically, my research focuses on digital games and their prosocial influence on 21st- century China.
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Xianghao Zhan
Student Employee, DASH
BioXianghao 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 136.1) 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. -
Albert Zhang
Undergraduate, Symbolic Systems
BioHello, I'm from Atlanta and a member of the class of 2023. I attended The Westminster Schools in Atlanta and The Hotchkiss School, a boarding school in rural Connecticut. I'm interested in Product Design, Symbolic Systems, Psychology, and Economics. As a long-time avid visual artist, I love the design process, from brainstorming to visualizing to critiquing. I hope to combine my interest in design with technology and entrepreneurship to make new inventions to solve problems. In addition, I'm interested in behavioral economics and how consumers react.
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An Ni Zhang
Postdoctoral Scholar, Stanford Cancer Center
BioAnni obtained her Ph.D. in Dr. James Johnson and Dr. Janel Kopp's labs at the University of British Columbia. Her Ph.D. work showed that hyperinsulinemia contributes to pancreatic cancer development. Her work also showed that insulin directly acted via the insulin receptors in pancreatic acinar cells to increase digestive enzyme production, thereby generating an inflammatory condition that accelerates neoplastic transformation. She is now working at Diehn lab to investigate the mechanisms of KEAP1 mutation-induced immunotherapy resistance in lung cancer.
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Anqi Zhang
Postdoctoral Scholar, Chemical Engineering
BioDr. Anqi Zhang is currently a postdoctoral scholar advised by Professor Zhenan Bao in the Department of Chemical Engineering and Professor Karl Deisseroth in the Department of Bioengineering at Stanford University. She received her Ph.D. degree under the supervision of Professor Charles M. Lieber in the Department of Chemistry and Chemical Biology at Harvard University in 2020, and her B.S. degree in Materials Chemistry from Fudan University in 2014. She is interested in combining novel electronic, chemical, and genetic tools to monitor and modulate neural circuits in a minimally invasive manner. Her research is funded by the American Heart Association (AHA) postdoctoral fellowship and the National Institutes of Health (NIH) K99/R00 award.
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Bing Melody Zhang
Clinical Associate Professor, Pathology
Current Research and Scholarly InterestsMy main research interests lie in the following areas:
1) HLA testing for BMT/solid organ transplantation
2) NGS-based TCR/Ig clonality/MRD testing
3) HLA testing in cellular therapy and oncology
4) Genetic/genomic testing for malignant and non-malignant hematologic disorders
5) HLA-related disease association/drug hypersensitivity testing. -
Chongyang Zhang
Postdoctoral Scholar, Cardiology
BioDr. Zhang is a Postdoctoral Scholar at RabLab in the cardiopulmonary division. She has a PhD in Pharmacology from University of Rochester, NY. She has research in cardiovascular research and chronobiology published in high impact peer-reviewed journals. She is recipient of honors including predoctoral fellowship from AHA, Travel Grant for Early Career Investigators from Council on Arteriosclerosis, Thrombosis, and Vascular Biology. She has served as ad hoc reviewer for more than 40 manuscripts for reputed journals.
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Daniel Zhang
Senior Manager for Policy Initiatives, Institute for Human-Centered Artificial Intelligence (HAI)
BioDaniel Zhang is the senior manager for policy initiatives at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) where he leads the Institute's policy research, outreach, and education initiatives. With the goal of developing evidence-based AI policy recommendations, his research interests lie at the intersection of technology policy, governance, and societal impact, including translational and original research on AI regulation and standards, the geopolitical implication of emerging technology, and the governance of large-scale ML models.
Daniel is also a member of the High-Level Expert Group on AI Ethics at UNESCO, advising the agency on the implementation of its Recommendation on the Ethics of AI. Previously, he was the manager of the AI Index where he lead-authored the 2021 and 2022 annual reports that measure and evaluate the rapid rate of AI advancement.
Before Stanford, he worked on global AI talent flows and security risks at the Center for Security and Emerging Technology and public education policy at the Riley Institute Center for Education and Leadership. Daniel holds a Master's in Security Studies from Georgetown University's Walsh School of Foreign Service, where he concentrated on technology policy, and a Bachelor's from Furman University. -
Fanglin Zhang, MD., PhD.
Clinical Assistant Professor, Neurology & Neurological Sciences
BioDr. Zhang is a board-certified, fellowship-trained neurologist. She serves as a clinical assistant professor in the Department of Neurology at Stanford University School of Medicine.
Dr. Zhang diligently excels in diagnosing and treating complex neurological conditions. Her clinical interests span a broad spectrum, with a current emphasis on intractable epilepsy and urgent stroke care. With each patient, Dr. Zhang forms a strong alliance focused on overcoming neurological disease and improving quality of life. She practices a patient-centered and evidence-based medicine.
As a clinician educator, she finds joy in educating both patients and trainees. She also enjoys conducting cutting-edge clinical research. Her work has been published in numerous peer-reviewed journals, such as Neurological Sciences, Annals of Clinical and Translational Neurology, Neuroimage, Glia, Immunology, the Journal of Psychiatric Practice, Journal of Neuroimmunology, etc. Her current research interest includes clinical trials and a large cohort study of the impact of seizures on stroke outcomes.
Among her many honors, Dr. Zhang has won a grant award from the National Multiple Sclerosis Society. Dr. Zhang shows a great enthusiasm in public welfare. She has earned recognition for volunteering her time and expertise at family health centers, hospitals, and schools. -
Hao Zhang
Visiting Physicist, SLAC National Accelerator Laboratory
Visiting Physicist-Experimenta, SLAC National Accelerator LaboratoryBioHao received his B.Sc. degree at Tianjin University in China in 2020 before pursuing his MAS.c degree at the University of Victoria in Canada. He is one of the Quantum BC scholars and the Canada NSERC QC CREATE Scholar. Previously, he worked in RF and microwave engineering and since September 2020, he focused on nonlinear optics and plasmon-enhanced optical trapping. Currently, he is a Ph.D. student at the University of California, Los Angeles, supervised by Dr. Sergio Carbajo, and is also a visiting student at SLAC. In his free time, he likes hiking, playing basketball, astronomical observation, and painting.
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Harrison G. Zhang
MD Student, expected graduation Spring 2028
MSTP StudentBioMD-PhD candidate in the Stanford University Medical Scientist Training Program.
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Huaiyu Zhang
Clinical Assistant Professor, Medicine - Cardiovascular Medicine
BioDr. Zhang obtained her MS in Neuroscience from the University of Southern California and earned her PhD in Clinical Psychology from Emory University. She completed both her predoctoral internship and postdoctoral fellowship at Emory University School of Medicine. Prior to joining Stanford in 2023, Dr. Zhang supported survivors of interpersonal violence at the University of California San Francisco Trauma Recovery Center for over seven years. Dr. Zhang embraces an integrative, contextualized, evidence-informed, and strength-based approach to teaching, supervision, and clinical care. She provides services in English and Mandarin.
