Stanford University
Showing 33,401-33,500 of 34,943 Results
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Weize Xu
Postdoctoral Scholar, Genetics
BioDr. Weize Xu is a postdoctoral researcher in Dr. Xiaojie Qiu's laboratory, where he focuses on advancing computational biology and genomics research. He earned his Ph.D. in Dr. Gang Cao's lab, where he made significant contributions to the development of computational methods and pipelines for spatial transcriptomics (MiP-Seq) and single-cell Hi-C (sciDLO Hi-C). His work during this time centered on enhancing data analysis frameworks, providing more precise insights into complex biological systems.
Dr. Xu is also an expert in the development of bioimaging processing softwares. During his Ph.D., he developed the U-FISH method, a deep learning-based approach for detecting signal points in FISH images. This innovative project involved curating a high-quality dataset from diverse sources, ensuring robust performance across various FISH data types. The resulting model demonstrated outstanding generalizability and included a user-friendly Web and LLM interface, making it accessible to researchers worldwide.
In addition to his Ph.D. research, Dr. Xu further honed his skills at SciLifeLab, where he worked under the mentorship of Dr. Wei Ouyang. There, he focused on web programming and developing key components for the Bioimage.IO deep learning platform, gaining valuable experience in creating innovative tools for computational biology.
With a solid foundation in computational biology, deep learning, and bioinformatics, Dr. Xu is passionate about driving cutting-edge research and contributing new perspectives to his field. He brings a unique combination of technical expertise and a collaborative mindset to his role in Dr. Xiaojie Qiu’s lab. -
Yiqing Xu
Associate Professor of Political Science
BioDr. Xu’s research focuses on political methodology (particularly causal inference) and comparative politics. He received his PhD in Political Science from the Massachusetts Institute of Technology in 2016, an MA in Economics from Peking University in 2010, and a BA in Economics from Fudan University in 2007.
His work has been published in leading journals, including American Political Science Review, American Journal of Political Science, The Journal of Politics, Political Analysis, Journal of the American Statistical Association, Journal of Economic Perspectives, and Nature Human Behaviour.
He has received numerous professional awards, including the John T. Williams Dissertation Prize (2014), Best Article Award from American Journal of Political Science (2016), Miller Prize (2018, 2020), Editors’ Choice Award from Political Analysis (2018, 2025), Best Statistical Software Award (2024, 2025), and Emerging Scholar Award from the Society for Political Methodology (2024).
Dr. Xu is affiliated with the Stanford Causal Science Center and the Stanford Center on China’s Economy and Institutions, as well as other research institutions. -
Yishan Xu, PhD, DBSM, CST
Adjunct Clinical Instructor, Psychiatry and Behavioral Sciences - Sleep Medicine
BioDr. Xu is a licensed clinical psychologist in California, a Board-certified Behavioral Sleep Medicine Specialist, and AASECT Board-Certified Sex Therapist. She currently serves as the chair of the OPEC committee for the Society of Behavioral Sleep Medicine. She completed training at the Stanford Sleep Medicine Center 2017-2019. She has specialized training in the diagnosis and treatment of insomnia, circadian rhythm disorders, parasomnias, nightmares, and adjustment to PAP therapy for sleep apnea.
Dr. Xu grew up in China and received her Ph.D. in Clinical Psychology from the University of Virginia, VA. She has adapted treatment for insomnia for the Chinese population, and translated the book “The Rested Child” into Chinese, which is the first evidence-based book about children and teen’s sleep disorders in China. She is the founder and director of a multicultural group practice in the SF Bay Area: Mind & Body Garden Psychology Inc. She also hosts a podcast "Deep into Sleep" to help bridge the gap between public awareness and knowledge of sleep problems and the science of sleep medicine.
Publications:
Xu, Y., Barwick, F. & Li, C.(2023). Cultural Considerations in Behavioral Sleep Medicine (BSM): Telehealth Group CBT-I for Patients from a Traditional Chinese Medicine (TCM) Hospital (Submitted)
Prislin, R., Davenport, C., Xu, Y., Moreno, R., & Honeycutt, N. (2018). From marginal to mainstream and vice versa: Leaders' evaluation of diversity while in the minority versus majority. Journal of Social Issues, 74 (1), 112-128.
Attin, M., Xu, Y., Lin, C. D., & Lemus, H. (2015). A potential impact of nursing characteristics prior to in-hospital cardiac arrest: a self-reported study. Journal of Clinical Nursing, 24 (23-24), 3736-3738.
Hu, Y., Xu, Y.,& Tornello, S. L. (2015). Stability of Self-Reported Same-Sex and Both-Sex Attraction from Adolescence to Young Adulthood. Archives of sexual behavior, 1- 9.
Xu, Y., & Ocker, B. (2013). Discrepancies in Cross-cultural and cross-generational attitudes toward committed relationships in China and the United States. Family Court Review, 51 (4), 591–604.
Tornello, S. L., Emery, R., Rowen, J., Potter, D., Ocker, B., & Xu, Y. (2013). Overnight custody arrangements, attachment, and adjustment among very young children. Journal of Marriage and Family, 75 (4), 871-885.
Horn, E. E., Xu, Y., Beam, C. R., Turkheimer, E. & Emery, E. (2012). The marriage benefit? A genetically-informed study of selection and causation. Journal of Family Psychology, 27 (1), 30-41.
Prislin, R., Boyle, S. M., Davenport, C., Farley, A., Jacobs, E., Michalak, J., Uehara, K., Zandian, F., & Xu. Y. (2011). On being influenced while trying to persuade: The feedback effect of persuasion outcomes on the persuader. Social Psychological and Personality Science, 2 (1), 51-58.
Li, j., Xu, Y., & li, X. (2009). Correlation between atypical eating disorder and body- esteem of college students. Chinese Journal of Clinical Psychology, 17, 345-347. -
Zhaohui Xue
Curator for the Chinese Collection, East Asia Library
Current Role at StanfordAs Chinese studies librarian, I collect materials in all formats in Chinese language and provide research assistance for the Chinese studies. I serve as a liaison to the faculty in different departments and centers in the field of Chinese studies. I manage Chinese special collections and variety of projects in processing and promotion of Chinese collection at the East Asia Library.
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Zhichen Xue
Postdoctoral Scholar, Photon Science, SLAC
BioWith his experience in design and synthesis of energy materials, he is dedicated to informing the development of next-generation battery materials through interdisciplinary research and applications. His recent research mainly focuses on advanced synchrotron characterization techniques and advanced cathode materials.
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Honglei Xun
Affiliate, Jasper Ridge
BioI am a California Naturalist, Midpeninsula docent, and lifelong learner with a background in finance and product management. I came to the U.S. as an international student and later built a career in technology. Over time, I felt drawn back to ecology—particularly field observation, plant–fungus relationships, and the natural and cultural history of landscapes.
I am taking courses at Jasper Ridge to train my eye, ground my understanding in science, and learn directly from living systems. I am especially interested in how ecological knowledge can be translated into meaningful public interpretation, so that people without formal science backgrounds feel welcomed into nature.
I hope to be known as someone who listens closely to the land, learns carefully, and shares knowledge in a way that is accessible, thoughtful, and rooted in place. -
Kyndal Yada
Program Manager, SAL Early Childhood Education
Current Role at StanfordFIND Program Manager
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Pavan Yadav
Postdoctoral Scholar, Chemistry
BioI am a Postdoctoral Researcher at Stanford University in the laboratory of Professor Paul A. Wender, where I work on the development of delivery technologies for RNA therapeutics, including mRNA, circular RNA (circRNA), and oligonucleotide-based medicines. My current research focuses on lipid nanoparticles (LNPs) and transporter-based systems for targeted nucleic acid delivery, with the goal of advancing the translation of genetic medicines.
I received my Ph.D. in Pharmaceutical Sciences from CSIR–Central Drug Research Institute (CSIR-CDRI), India. During my doctoral training, I specialized in nanomedicine, drug delivery, pharmacokinetics, and bioanalytical method development, with a particular focus on developing nanocarrier-based therapeutic strategies for cancer treatment. Prior to my Ph.D., I earned both my Bachelor of Pharmacy and Master of Pharmacy degrees from Mahatma Jyotiba Phule Rohilkhand University, India.
My research interests span RNA therapeutics, drug delivery, nanomedicine, lipid nanoparticle engineering, pharmacokinetics, and translational pharmaceutical sciences. I have experience in the design, formulation, and biological evaluation of diverse delivery systems, including lipid nanoparticles, liposomes, nanoemulsions, polymeric carriers, and other nanomaterial-based therapeutic platforms. My work integrates formulation science, biological evaluation, and preclinical studies to improve the delivery and performance of therapeutic agents.
I have authored more than 35 peer-reviewed publications in journals such as Nature Communications, ACS Applied Materials & Interfaces, International Journal of Pharmaceutics, Nanomedicine, and Bioanalysis. I am particularly interested in developing innovative delivery approaches that bridge fundamental research and clinical translation, with the ultimate goal of improving treatment options for patients. -
Sandeep Yadav
Postdoctoral Scholar, Energy Science and Engineering
BioSandeep Yadav is a postdoctoral scholar in the Department of Energy Resources Engineering at the Stanford Doerr School of Sustainability. His research focuses on advancing sustainable energy systems, with an emphasis on techno-economic analysis and modeling of carbon capture retrofits for industrial decarbonization and energy efficiency. He earned his Ph.D. in Energy Science and Engineering from the Indian Institute of Technology (IIT) Bombay, where he specialized in the techno-economic assessment of carbon capture technologies, data center cooling, and combined cooling and power systems. Sandeep is committed to supporting the global transition to low-carbon energy and is passionate about mentoring the next generation of scientists and engineers.
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Eitan Yaffe
Affiliate, Medicine - Med/Infectious Diseases
BioDr. Eitan Yaffe is a computational biologist studying the evolution of natural microbial communities under selective pressures, such as antibiotics. He is currently a research associate in the lab of Dr. David Relman at Stanford University, where he develops experimental and computational approaches to investigate strain dynamics, horizontal gene transfer, and the emergence of antimicrobial resistance in the human microbiome.
Dr. Yaffe holds a PhD in Computer Science from the Weizmann Institute of Science, where he focused on epigenetics and chromatin folding. He earned his MSc in Computer Science with a specialization in the 3D structure of protein channels, and his BSc in Mathematics and Computer Science from the Hebrew University of Jerusalem. -
Connor Lucero Yako
Affiliate, Computer Science
BioHello, whoever is reading this! My name is Connor, and I am a recent Mechanical Engineering PhD graduate advised by Ken Salisbury. My research focused on non-anthropomorphic means for robotic in-hand manipulation, specifically, how vibrations can be used to move grasped parts in desirable ways. The totality of my dissertation provides both a solid theoretical and practical foundation for the use of vibrations for robotic in-hand manipulation. Post graduation, I hope to apply the research and electromechanical skills I have learned to robotics in general, though I still view the "hand" as perhaps the most interesting and elusive part of robotics today.
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Lisa Yamada
Software Developer 2, SoM - CNC - Cracking the Neural Code
BioLisa Yamada is a PhD candidate in Electrical Engineering, working with Professor Paul Nuyujukian in the Brain Interfacing Laboratory at Stanford University. She is interested in applying data science and engineering tools for medical applications towards higher quality and more equitable care. As a computational neuroscientist and clinical research coordinator, she is currently investigating quantitative measures for seizure analyses using human neuroelectrophysiology data (e.g., intracortical EEGs of participants with refractory epilepsy). She graduated from Trinity College (Hartford, CT) with BS degrees in Electrical Engineering and Mathematics and earned her MS in Electrical Engineering from Stanford University. In her free time, she enjoys outdoor activities like hiking.
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Natsuhiko Yamada
Affiliate, Medicine - Med/Family and Community Medicine
BioNatsuhiko Yamada is a pediatrician and AI researcher at National Center for Child Health and Development (NCCHD), Japan. As a clinician, he cares for critically ill pediatric patients referred and transported from across Japan, and has reported a novel genetic mutation in hematologic disease. At NCCHD Research Institute, he serves as Principal Investigator, leading AI predictive modeling research using real-world clinical data in collaboration with Japan Institute for Health Security.
He is also pursuing a Master of Public Health at Johns Hopkins Bloomberg School of Public Health. He has contributed to global burden of disease studies with researchers across the globe. Previously, at Institute of Science Tokyo, he published on cancer metabolism and was awarded a WILEY Top Cited Article. In 2026, he was selected as a Stanford CARE Scholar at Stanford University School of Medicine.
Beyond research, he has demonstrated strong global health leadership. As Project Lead at the World Economic Forum Global Shapers Community, he led policy proposals for Okinawa Prefecture, the poorest prefecture facing a health crisis in Japan. He collaborated with Okinawa Medical, Nursing, Dental, and Pharmaceutical Associations and professors across Japan, and potentially impacted an estimated 1.5 million residents. He also served on the Committee for Shaping a New World at Expo 2025 Osaka, Kansai, Japan, moderating a flagship session to redefine the future of mental health in 2050.
He envisions a world where every child and every person can enjoy sound health, regardless of where they are born or live, at the intersection of clinical medicine, molecular biology, public health, and artificial intelligence. -
Karina Yamamoto
Enviroprenuer Fellow, HOOVER RESEARCH
BioKarina Yamamoto is a Enviropreneur Fellow at the Hoover Institute at Stanford University and the Co-Founder and CEO of GridBrid, a cleantech company redefining how hybrid power plants are planned, built, and scaled to accelerate the global transition to net zero. An award-winning innovator, she has been recognized by Forbes 30 Under 30, Akimoto Award and Peres Innovation Award for her contributions to sustainable energy innovation. With a background in finance from Harvard University, she brings a unique blend of strategic and technical expertise, driving impactful solutions that unlocks the full potential of renewable energy. Karina is not only shaping the future of energy systems, she represents a new generation of leaders redefining how innovation can drive systemic change.
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Yoshihisa Yamamoto
Professor of Electrical Engineering and of Applied Physics, Emeritus
Current Research and Scholarly InterestsExperimental Quantum Optics, Semiconductor Physics, Quantum Information
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Irena Yamboliev
PWR Advanced Lecturer, Program in Writing and Rhetoric
Current Research and Scholarly InterestsSPECIALIZATION: Literature and Culture of 19th- and 20th-Century Britain; Aesthetics; Narrative Theory; Science and its Rhetoric; Color Theory; Digital Humanities; Writing Pedagogy; Queer Theory
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Daniel Yamins
Associate Professor of Psychology and of Computer Science
Current Research and Scholarly InterestsOur lab's research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. It is founded on two mutually reinforcing hypotheses:
H1. By studying how the brain solves computational challenges, we can learn to build better artificial intelligence algorithms.
H2. Through improving artificial intelligence algorithms, we'll discover better models of how the brain works.
We investigate these hypotheses using techniques from computational modeling and artificial intelligence, high-throughput neurophysiology, functional brain imaging, behavioral psychophysics, and large-scale data analysis.
