Stanford University
Showing 2,601-2,650 of 2,893 Results
-
Junjie Lu
Ph.D. Student in Epidemiology and Clinical Research, admitted Autumn 2023
BioJunjie's research is centered on the social determinants of minority health, epidemiological methods, and clinical effectiveness. He is deeply committed to understanding the health disparities faced by minority populations. His clinical background helps bridge the gap between research and practical application, aiming to improve healthcare outcomes in real-world settings.
Junjie Lu earned a Master of Public Health degree from the Harvard T.H. Chan School of Public Health, where he concentrated on Health and Social Behavior. He also holds an MBBS and an MS from Shanghai University of Traditional Chinese Medicine. Junjie gained practical experience as an intern doctor at a university hospital for two years, during which he led a pilot randomized controlled trial on the effects of acupuncture on depressive symptoms. -
Lu Lu
Postdoctoral Scholar, Mechanical Engineering
BioLu Lu is a postdoctoral fellow of Mechanical Engineering at Stanford University. Lu received his bachelor degree from Ningbo University in China in June 2014, and obtained his doctoral degree from Shanghai University in China in December 2019. During July 2020 to June 2022, he was a postdoctoral fellow at Peking University in China. Lu’s research interests focus on micro-/nano-mechanics and origami mechanics and design.
-
Ning Lu
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioNing Lu received a joint Ph.D. degree in Biomedical Engineering and Scientific Computing from the University of Michigan, Ann Arbor, USA, in 2023. Previously, she earned a B.S.E. degree (highest honors) in Biomedical Engineering from Southeast University, Nanjing, China, in 2018. From May 2022 to September 2022, she worked at Meta (formerly Facebook) Reality Labs as a research scientist intern on ultrasonic eye tracking for AR/VR wearable devices, in Redmond, Washington, USA. Her research interests include ultrasound instrumentation, ultrasound therapy, ultrasound imaging algorithms, and AI in healthcare.
-
Pan Lu
Postdoctoral Scholar, Biomedical Data Sciences
BioI am a Postdoctoral Scholar with Professor James Zou at Stanford University. I received my Ph.D. in Computer Science from UCLA, where I was a member of the UCLA Natural Language Processing Group (UCLA NLP) and the Center for Vision, Cognition, Learning, and Autonomy (VCLA). Previously, I earned my M.S. in Computer Science at Tsinghua University. My research has been funded by the Amazon Ph.D. Fellowship, Bloomberg Data Science Ph.D. Fellowship, Qualcomm Innovation Fellowship, UCLA Dissertation Year Fellowship, and the NeurIPS Scholar Award.
-
Sydney X. Lu
Assistant Professor of Medicine (Hematology)
BioSydney Lu is a hematologist and medical oncologist in the Division of Hematology, Department of Medicine, studying novel therapeutics for challenging cancers and immune disorders.
Sydney's research career started with graduate studies in the laboratory of Dr. Marcel van den Brink at Memorial Sloan Kettering Cancer Center (MSKCC) studying the biology of pathologic donor T cells during graft-versus-host-disease and beneficial T cells mediating graft-versus-tumor effects after allogeneic bone marrow transplant, as well as the role of the thymus in regenerating healthy and protective donor-derived T cells post-transplant.
The direct relevance of these cellular therapies and their immediate translational applicability to patients inspired him to attend medical school at Stanford and further training in hematology and medical oncology at Memorial Sloan Kettering. There, as a fellow and junior faculty member, he studied disordered RNA splicing in cancer in the laboratory of Dr. Omar Abdel-Wahab, with the goal of developing novel drugs targeting RNA splicing. This work has led to observations that targeted degradation of the RNA binding protein RBM39 may be a feasible therapeutic for the treatment of myeloid cancers bearing RNA splicing factor mutations and that pharmacologic RNA splicing inhibition can generate MHC I-presented peptide neoantigens which are exploitable for immunotherapy in model systems.
Sydney's laboratory is broadly interested in studying RNA processing and splicing in the contexts of:
1) normal and pathologic immunity and immunotherapy
2) cancer biology
3) normal and malignant hematopoiesis -
Wan-Jin Lu
Basic Life Research Scientist, Stem Cell Bio Regenerative Med Institute
BioDr. Wan-Jin Lu is a Research Scientist in Dr. Phil Beachy's lab. Wan-Jin grew up in Taiwan, obtained her B.S. in Zoology at National Taiwan University and completed her PhD in Genetics and Development at UT Southwestern in the lab of Dr. John Abrams. Her Ph.D. research involved the identification of the evolutionary conserved function of the tumor suppressor gene p53 that ensures the quality control of germ cells. She then moved to the Bay Area, where she was a Damon Runyon Postdoctoral Fellow in the Institute of Stem Cell Biology and Regenerative Medicine in the Beachy lab. Her work currently focuses on understanding the function of Hedgehog signaling in taste receptor cell homeostasis and delineating the mechanisms of taste receptor regeneration after chemotherapy-induced loss.
Since 2017, she has been collaborating with Tabula Muris And Tabula Sapiens Consortium to investigate taste receptor stem cell renewal and regeneration in the Beachy lab. Her work has received funding support from California Institute of Regenerative Medicine (CIRM), Thomas and Stacey Siebel Foundation, and NIH (R21 and R01). -
Ying Lu
Professor of Biomedical Data Science and, by courtesy, of Epidemiology
Current Research and Scholarly InterestsBiostatistics, clinical trials, statistical evaluation of medical diagnostic tests, radiology, osteoporosis, meta-analysis, medical decision making
-
Yougeng Lu
Postdoctoral Scholar, Biology
BioYougeng Lu (he/him/his) is a Postdoctoral Scholar with the Natural Capital Project on developing urban nature exposure model. His research focuses on exploring the linkages between exposure to urban nature, such as green space and street trees, and individual's physical activity and mental health. Yougeng received his Ph.D. in Urban Planning and Development from the University of Southern California, where he developed a high spatiotemporal resolution PM2.5 prediction model with low-cost air sensors and studied how people's travel behavior affects their air pollution exposure. He holds an M.Sc. in Urban Planning from University of Washington, Seattle; and a B.Sc. in Geography from Wuhan University, China.
