Stanford University
Showing 16,301-16,400 of 16,510 Results
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Zuzanna Zapiorkowska
Temp - Non-Exempt, Industry Relations
Current Role at StanfordProject Manager, Stanford Medicine - Industry Relations
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Bonnie Michelle Zavon
Project Manager, Meeting Planner, Distinguished Careers Institute
Current Role at StanfordOutreach and Meeting Planner for the Stanford Distinguished Careers Institute.
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Markus Zechner
Adjunct Professor, Earth & Planetary Sciences
BioMarkus Zechner earned an MS degree in petroleum engineering from Mining University of Leoben. He joined OMV in 2008 as a reservoir engineer in Gaenserndorf, Austria. Zechner worked on gas, gas condensate, and oil reservoirs in the Vienna basin. During 2011 through 2013, he worked on the Technology and
Reservoir Engineering Teams in the OMV Head Office on CO2 injection and sequestration, water injection under fracturing
conditions, and polymer injection. In 2013, Zechner started his PhD degree at Stanford University on uncertainty quantification of enhanced oil recovery processes. -
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 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. -
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. -
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.
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Riley Zhang
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2019
Speech tutor, School of Engineering - Technical Communications ProgramBioPu Riley Zhang is a materials science grad student, advised by Dr. Yi Cui and Dr. Johanna Nelson Weker. She focuses on self-discharge behaviors of lithium-sulfur batteries, chemical corrosion of lithium, and scaleable alkaline water electrolysis. She received her BS in NanoEngineering from UC San Diego in 2019, where she was advised by Dr. Zheng Chen on synthesizing PtIr nanocatalysts for Ethanol Oxidation and Pd nanocrystals for Oxygen Reduction Reaction.
Contact: puzhang AT stanford.edu -
Sha Zhang
Rsch Admstr 2, Physics
Current Role at StanfordAdministrative associate
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Weiruo Zhang
Research Engineer, Biomedical Data Science
BioDr. Zhang is currently a Research Engineer at the Department of Biomedical Data Science and the Center for Cancer Systems Biology, Stanford School of Medicine. Dr. Zhang obtained her M.S. and Ph.D. in Electrical Engineering, both from Stanford University. Her Ph.D. studies focused on developing computational algorithms for metabolomics data analysis, in which she received Young Scientist Award from the Metabolomics Society for her algorithm on metabolic network analysis delineating the effects of genetic mutants and drug treatment on the metabolome. Her postdoctoral studies at the Department of Radiology, Stanford School of Medicine, integrated radiomic data and genomic data that identified a prognostic metabolic regulation biomarker for non-small cell lung cancer. Her current research primarily focuses on developing and implementing novel computational methods to integrate and analyze single-cell multi-omics data, such as single-cell RNA sequencing, spatial proteomics and spatial transcriptomics. She has developed algorithms to solve computational challenges of spatial omics data and to identify mediators for cell-cell interactions associated with metastasis that was featured in Stanford Medicine Magazine. Dr. Zhang has authored and co-authored publications including Nature, Cell, Nature Methods etc. Her research aims at bridging multi-omics, imaging, machine learning, artificial intelligence to better understand biology for cancer progression and immunosuppression.
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Yuan Zhang
Basic Life Research Scientist, Psych/Major Laboratories and Clinical & Translational Neurosciences Incubator
Current Role at StanfordBasic Life Research Scientist
