Stanford University
Showing 1,351-1,400 of 2,728 Results
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Zhuo Liu
Postdoctoral Scholar, Earth and Planetary Sciences
BioZhuo Liu is a postdoctoral scholar at the Stanford Doerr School of Sustainability, sponsored by Mineral-X. His expertise is in multi-geophysical data interpretation with both traditional methods and machine-learning-based methods for critical mineral exploration.
Zhuo Liu earned his PhD degree in Geophysics, with a minor degree in Geology, from the Colorado School of Mines (CSM), USA. His doctoral and postdoctoral research focused on advancing geophysical data interpretation methods and incorporating geologic prior information into the interpretation process in machine-learning and geostatistical approaches for mineral resources exploration.
Previously, Zhuo earned his Bachelor's degree in Applied Geophysics from the Central South University, China, and a Master's degree in Geophysics from the Colorado School of Mines (CSM), USA. He also visited the University of Science and Technology of China (USTC) as a Student Visiting Scholar under the mentorship of Dr. Xinming Wu in 2021. -
Quentin Loisel
Postdoctoral Scholar, SCRDP/ Heart Disease Prevention
BioQuentin Loisel is a postdoctoral researcher at the Meta-Research Innovation Center at Stanford (METRICS), where his work focuses on how artificial intelligence is transforming scientific practice and how researchers can use AI to produce better, more robust, and more equitable science. His broader agenda is to help define a hybrid model of scientific inquiry that deliberately and transparently combines human judgment and artificial intelligence.
His research sits at the intersection of artificial intelligence, epistemology of science, and research systems. He studies how AI tools reshape knowledge production across the research lifecycle, from problem formulation and data analysis to writing, peer review, and governance, and examines the epistemic, methodological, and institutional consequences of human–AI collaboration in science. His work aims to move beyond risk-focused or purely technical perspectives by developing evidence-based, researcher-centric models for integrating AI into everyday scientific practice.
Before joining Stanford, he completed a Marie Skłodowska-Curie PhD on digital technologies for co-creation, combining cognitive science, collective intelligence, and participatory research. He has co-funded and is coordinating the Artificial Intelligence working group of the Marie Curie Alumni Association (MCAA), which is a researcher-driven community of practice on AI in research. He also advises a social company, called Health Cascade, on how to integrate AI in teams to solve complex societal problems. -
Avinash Londhe
Postdoctoral Scholar, Pathology
BioDr. Avinash Londhe is a postdoctoral researcher in Dr. Katrin Svensson’s lab in the Department of Pathology at Stanford University, where he investigates the complex mechanisms linking cancer, metabolism, and obesity. His research focuses on understanding how orphan peptide hormones regulate metabolic pathways and identifying novel receptor-peptide interactions. Driven by a passion for translational science, Dr. Londhe is committed to translating fundamental discoveries into real-world solutions that improve patient outcomes.
During his doctoral training in Dr. Benoit Boivin’s lab at SUNY Polytechnic Institute, Dr. Londhe gained in-depth expertise in molecular mechanisms underlying metabolic disorders and cancer. His work contributed to the development of therapeutic strategies aimed at metabolic dysfunction. In addition to research, he excelled at managing laboratory operations and mentoring both graduate and undergraduate students, fostering a dynamic and collaborative research environment.
Currently, Dr. Londhe is broadening his research toolkit by integrating bioinformatics, molecular biology, and biophysical techniques into his experimental approaches. His goal is to address critical challenges in cancer metabolism and metabolic diseases through innovative research.
Dr. Londhe aspires to secure a faculty position at a leading university, where he can advance impactful research, mentor emerging scientists, and continue driving scientific innovation. -
David Long
Postdoctoral Scholar, Physics
Current Research and Scholarly InterestsDavid is a theoretical condensed matter physicist with an expertise in systems far from equilibrium. His research focuses on the dynamics of quantum systems, including many-body dynamics, the process of thermalization in nearly-localized systems, and on robust topological effects in driven systems.
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Chenery Lowe
Postdoctoral Scholar, Biomedical Ethics
BioChenery Lowe, Ph.D., CGC, is a genetic counselor and healthcare communication researcher. She received her ScM in Genetic Counseling from the Johns Hopkins University/ National Institutes of Health Genetic Counseling Training Program in 2018. Chenery received her Ph.D. in Social and Behavioral Sciences from Johns Hopkins Bloomberg School of Public Health in 2022, where she later served as an assistant scientist and academic director for the JHU/NIH genetic counseling program. Clinically, she has provided genetic counseling in immunology and adult oncology settings. She has taught graduate-level courses on interpersonal communication in health care, health literacy, and social and behavioral research in genetic counseling. Her research interests are in the areas of patient-provider communication, health equity, implicit bias, communication skills training interventions, and the ethics of interpersonal influence in medical care.
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Lu Lu
Postdoctoral Scholar, Mechanical Engineering
BioDr. Lu Lu is currently a postdoctoral researcher at Stanford University. He received his B.S. and Ph.D. degrees from Ningbo University and Shanghai University in China in 2014 and 2019, respectively. He then worked as a postdoctoral researcher at Peking University from 2020 to 2022 before joining Stanford. His research interests focus on solid mechanics, with emphasis on mechanical instabilities, deployable structures, mechanics of intelligent soft materials, plate and shell theories, and nonlocal elasticity. He has published nearly 30 peer-reviewed papers in journals such as PNAS, JMPS, IJSS, AMR, IJMS, JAM, and PRSA, and received the ASME Melville Medal in 2024.
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Xinyu Lu
Graduate Visiting Researcher Student, Education
BioXinyu Lu is a Doctoral Candidate in Educational Economics and Management at Zhejiang University and a Visiting Scholar and Research Associate at Stanford University. Her research lies at the intersection of Computational Education, Economics of Education, Learning Analytics, Educational Measurement, and Evidence-Based Education Policy. She is particularly interested in leveraging artificial intelligence, large-scale educational data, and causal inference methods to understand learning processes, evaluate educational interventions, and support talent development.
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Anthony R. Lucas
Postdoctoral Scholar, Psychiatry
BioAnthony R. Lucas, PsyD is a postdoctoral fellow in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine. He provides psychotherapy in the ADAPT Clinic for Mood and Anxiety Disorders and the Addiction Medicine Dual Diagnosis Clinic.
In the ADAPT Clinic, Dr. Lucas focuses on diagnostic formulation and psychotherapy for mood and anxiety disorders, drawing on structured and transdiagnostic approaches while attending to the psychological and contextual factors that shape symptom presentation and recovery.
In the Addiction Medicine Dual Diagnosis Clinic, he provides psychotherapy for individuals with substance use disorders and behavioral addictions and co-occurring psychiatric conditions, centering collaborative treatment planning and addressing the interplay between addiction, trauma, and mental health.
Dr. Lucas also provides clinical supervision to graduate student trainees at the Palo Alto VA, with a focus on case formulation, clinical reasoning, and reflective professional development.
Dr. Lucas completed his APA-accredited doctoral internship in Clinical Psychology at Kaiser Permanente Northern California, Addiction Medicine & Recovery Services, Walnut Creek. -
Charlotte Luff
Postdoctoral Scholar, Psychiatry
BioCharlotte is a postdoctoral scholar in the lab of Professor Luis de Lecea. Her research interests include the brain phenomena underpinning non-invasive neuromodulation such as focused ultrasound and electrical brain stimulation, and in the de Lecea lab she studies this with relation to sleep and addiction. Charlotte completed her PhD in the Interventional Systems Neuroscience lab of Dr Nir Grossman at Imperial College London. Her PhD research focused on uncovering the biophysical mechanism of temporal interference (TI) brain stimulation, primarily using electrophysiology and computational modelling. During her PhD, Charlotte spent a year as a visiting PhD student in Professor Ed Boyden’s lab at MIT, where she was trained in automated in-vivo patch clamp. Previously, Charlotte completed a BSc in Biomedical Science at King’s College London, and an MRes in Experimental Neuroscience at Imperial College London.
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Xiangde Luo
Postdoctoral Scholar, Radiation Physics
BioXiangde Luo is a postdoctoral researcher in Professor Ruijiang Li’s lab at Stanford Medicine, where he specializes in computational pathology. His work centers on developing AI‑driven methods for imaging biomarker discovery and precision oncology. Previously, he has developed some deep learning models to enable annotation‑efficient learning and advance biomedical image analysis. For a comprehensive overview of my research, please visit my Google Scholar profile: https://scholar.google.com/citations?hl=en&user=dD4HLS4AAAAJ. If you’d like to learn more or discuss potential collaborations, please don’t hesitate to get in touch.
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Tiffany Luong
Postdoctoral Scholar, Infectious Diseases
BioTiffany Luong obtained her Ph.D. from UCSD/SDSU in the lab of Dwayne Roach where she studied the formulation, purification, and application of bacteriophages targeting the ESKAPE pathogen Pseudomonas aeruginosa. Currently, her research in the Bollyky Lab focuses on the development of preclinical models to study chronic infections of P. aeruginosa and the immunogenicity of bacteriophages to the mammalian host.
