School of Medicine
Showing 701-800 of 936 Results
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Xin Liu
Basic Life Science Research Scientist, Genetics
BioXin Liu is a postdoctoral Research Scientist in the Department of Genetics at Stanford University. Xin holds a PhD in Chemistry from the University of Michigan, Ann Arbor. Her basic research interests include RNA and protein biochemistry, enzymology, cancer immunology, and autoimmune disease. She has published papers in several prestigious journals in the field of biochemistry, including Nature Communications, Journal of American Chemical Society, and Nucleic Acids Research. The highlight of her multidisciplinary research includes the development of high-throughput enzymatic methods to discover anti-microbial agents and to reveal mechanisms behind human mitochondrial diseases, as well as innovative applications of genome engineering and machine-learning to decode principles of RNA editing in human cells. Her current research focuses on the mechanistic study of innate immune pathways.
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Y. Lucy Liu, MD, PhD
Senior Research Scientist, Pediatrics - Hematology/Oncology
Current Role at StanfordSenior Research Scientist
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Yang Merik Liu
Postdoctoral Scholar, Psychiatry
BioDr. Yang Merik Liu is currently a postdoctoral scholar (and an incoming Instructor) with the Department of Psychiatry and Behavioral Sciences, Stanford University, and is affiliated with the Center for Machine Vision and Signal Analysis, University of Oulu, Finland. He is a Co-I of the NIH/NIA R33 Grant, and was a PI of the North Ostrobothnia Regional Fund of the Finnish Cultural Foundation and the Instrumentarium Science Foundation, carrying out research on digital measures with affective intelligence. Dr. Liu coordinated and managed "AI Forum" and "ICT 2023 TrustFace" projects during his postdoctoral research in University of Oulu since Jan. 2022, led by Academy Professor Guoying Zhao, member of Academia Europaea, member of the Finnish Academy of Sciences and Letters, IEEE/IAPR/ELLIS Fellow. He was also a former researcher with the Haaga-Helia University of Applied Sciences, in 2023, and was a visiting scholar with Hong Kong Baptist University (Prof. Pong Chi Yuen) and University of Cambridge (Prof. Hatice Gunes), in 2023 and 2024, respectively. Dr. Liu has published more than 40 papers in reputable journals and proceedings. He served as the Session Chair of IEEE FG 2025, the Track Chair of IEEE COINS 2026, the Guest Associate Editor of Frontiers in Psychology and Frontiers in Human Neurosciences, and organized tutorials and workshops in international conferences, i.e., HHAI 2024 and IEEE FG 2025. Dr. Liu was an Assistant Lecturer of the "Affective Computing" course in University of Oulu, in 2023. He mentored junior doctoral researchers and co-supervised post-/undergraduate students. His research interests include affective computing, cognitive computation for cross-species behavioral, and AI for aging medicine.
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Yongkai Liu
Instructor, Radiology
BioDr. Yongkai Liu is an instructor in the Department of Radiology, Division of Neuroimaging and Neurointervention at Stanford University. His research focuses on developing and evaluating advanced techniques to improve treatment decision-making and prognostication in brain diseases—particularly stroke—using imaging and deep learning. Dr. Liu is a recipient of the prestigious K99/R00 award for his work on integrating large language models with imaging-based deep learning for stroke outcome prediction.
Prior to joining Stanford, Dr. Liu earned his Ph.D. in Physics and Biology in Medicine from UCLA under the mentorship of Prof. Kyung Sung. This rigorous training equipped him with a strong foundation in medicine, deep learning, and physics. His Ph.D. thesis, titled “Advancing Segmentation and Classification Methods in Magnetic Resonance Imaging via Artificial Intelligence,” focused on developing cutting-edge deep learning and machine learning techniques for MRI-based clinical applications. During his master’s studies, he conducted research on CT Virtual Colonoscopy under the guidance of Prof. Jerome Liang, an IEEE Fellow.
Dr. Liu has also made significant contributions to the academic community as a peer reviewer for leading journals, including The Lancet Digital Health, NPJ Digital Medicine, Medical Image Analysis, Medical Physics, Scientific Reports, British Journal of Radiology, BJR|Artificial Intelligence, Annals of Clinical and Translational Neurology, IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Radiation and Plasma Medical Sciences, IEEE Transactions on Biomedical Engineering, and IEEE Transactions on Neural Networks and Learning Systems.
Dr. Liu is an emerging leader in neuroimaging, stroke research, and artificial intelligence, earning widespread recognition for his work. His accolades include the K99/R00 Award, the AJNR Lucien Levy Award, the David M. Yousem Research Fellow Award, and being named a semi-finalist for the 2024 Cornelius G. Dyke Award, all of which underscore his potential to make significant contributions in the future (https://med.stanford.edu/rsl/news/yongkai-liu-receives-research-fellow-award.html). -
Amy Lo
Adjunct Clinical Associate Professor, Pathology
BioDr. Amy Lo is a pathologist with board certification in anatomic pathology, clinical pathology and molecular genetic pathology. She completed her MD and MS at the University of Illinois at Chicago and her residency in both anatomic and clinical pathology at Northwestern University. She then joined the faculty at Northwestern University as a Clinical Instructor and Advanced Gastrointestinal/Surgical Pathology Fellow. Amy then completed a molecular genetic pathology fellowship at Stanford University.
In 2016, Amy joined Genentech as research pathology scientist supporting drug research and development with a focus in oncology and individualized drug development.
Additionally, Amy continues clinical work as an Adjunct Clinical Associate Professor in pathology at Stanford University and Lucille Packard’s Children’s Hospital. -
Clara Lo
Clinical Professor, Pediatrics - Hematology & Oncology
Current Research and Scholarly InterestsResearch interests include:
Biomarkers and targeted therapy in pediatric immune thrombocytopenia
Transfusion-related iron overload
Hemophilia and other rare bleeding disorders
Thrombophilia -
Michelle Lo
Clinical Assistant Professor, Medicine
BioDr. Michelle Lo MD, FACP is a Clinical Assistant Professor in the Division of Hospital Medicine and Stanford School of Medicine. Growing up in Taiwan and in the Bay Area, she received her undergraduate degree in Molecular and Cellular Biology at University of California Berkeley, and her medical degree at David Geffen School of Medicine at UCLA. She then moved to NYU Grossman School of Medicine for her residency in Internal Medicine. She continued as Clinical Assistant Professor at NYU Grossman School of Medicine-Tisch Hospital from 2019-2020. After working in NYC during the COVID-19 pandemic, she returned to California to continue her career at Kaiser Permanente Santa Clara as a Hospitalist and affiliate Clinical Instructor at Stanford School of Medicine from 2020-2025, where she co-developed the Point of Care Ultrasound curriculum and was awarded the Hospitalist Teaching Award 3 years. She joined the Stanford School of Medicine Faculty in 2025. Her interests include medical education, curricular development, and use of Point-of-Care Ultrasound in the care of hospitalized patients.
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Nathan Lo
Assistant Professor of Medicine (Infectious Diseases) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsOur research group is interested in studying the transmission of infectious diseases and impact of public health interventions with an ultimate goal of informing public health policy. We study a diverse set of pathogens, both domestically and internationally, including vaccine-preventable infections (including COVID-19) and neglected parasitic diseases (such as schistosomiasis). Our group applies diverse computational methodologies, including tools from fields of epidemiology, mathematical and statistical modeling, simulation, and policy analysis.
A large emphasis of our work is translating scientific evidence into public health policy. Our track record includes multiple studies that have changed policy in the fields of neglected parasitic diseases and COVID-19. We work closely with policy organizations like the World Health Organization and the California Department of Public Health. Nathan was the lead writer of the World Health Organization guidelines on schistosomiasis (2022) and strongyloidiasis (2024).
Our current research focuses on the following areas:
(1) Vaccine-preventable infectious diseases (including COVID-19 and measles) in the United States, with a focus on studying vaccines, transmission dynamics, and re-emergence of vaccine-eliminated diseases
(2) Public health strategies for control and elimination of globally important neglected infectious diseases, such as helminths infections (schistosomiasis, strongyloidiasis) and typhoid fever
Our current NIH funded projects include:
(1) Real-time predictive modeling for public health departments to control infectious diseases (DP2 AI170485, PI: Lo)
(2) Precision mapping of Schistosoma mansoni risk for targeted public health control and elimination (R01 AI179771, PI: Lo)
Hiring
We are seeking to fill multiple research positions at all levels. Candidates interested in working on computational public health research related to infectious diseases with a strong quantitative background are highly encouraged to apply. If you an interested, please submit a cover letter, CV, and names of two references to Nathan.Lo@stanford.edu. -
James Lock
Eric Rothenberg, MD Professor and Professor, by courtesy, of Pediatrics
Current Research and Scholarly InterestsJames Lock, MD, Ph.D. is Professor of Child Psychiatry and Pediatrics in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine where he has taught since 1993. He is board certified in adult as well as child and adolescent psychiatry. He directs the eating disorder program in Child Psychiatry and is active in treatment research for children and adolescents with eating disorders.
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Anne Juliana Lockman
Adjunct Clinical Associate Professor, Psychiatry and Behavioral Sciences
BioDr. Lockman is Adjunct Clinical Associate Professor of Neuropsychiatry in the Department of Psychiatry & Behavioral Sciences at Stanford. She directs the Functional Neurologic Disorder (FND) Track at La Selva in Palo Alto, within their state-of-the-art residential and partial hospitalization programs. She completed residencies in both Neurology at the University of Virginia and Psychiatry at Stanford Hospital & Clinics. Her clinical activities include providing pharmacologic and behavioral care for clients with psychiatric and behavioral conditions in the context of neurological illness, including epilepsy, stroke, movement disorders and others. Professional goals include the advancement of clinical care, research and access for clients suffering from neuropsychiatric conditions, including FND and related disorders.
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Michael Loecher
Sr Research Engineer, Rad/Radiological Sciences Laboratory
BioMy research focuses primarily on improving methods for measuring flow and motion with MRI. My research interests range from image acquisition and reconstruction to error correction and post processing strategies.
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Andreas Loening
Associate Professor of Radiology (Body MRI)
Current Research and Scholarly InterestsMy lab focuses on expanding the capability of MR and PET/MR as it relates to applications in body imaging. Clinical research aims include the application of new or improved MR sequences to increase the speed, robustness, and diagnostic capability of body MR. Translation research aims include exploring new MR contrast mechanisms and contrast agents, such as for the stratification of cancer within the prostate and the evaluation of the lymphatic system.
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Juanita S. Loftus
Clinical Assistant Professor, Pediatrics - General Pediatrics
BioClinical Focus
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Pediatrics
Academic Appointment
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Clinical Assistant Professor, Pediatrics-General Pediatrics
Professional Education
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Board Certification: American Board of Pediatrics, Pediatrics (1989)
Residency: St. Louis Children's Hospital, St. Louis, MO (1989)
Medical Education: Washington University School of Medicine, St. Louis, MO (1986) -
Daniel S Logan, BA
Research Data Analyst 1, Stanford-Surgery Policy Improvement Research and Education Center
Current Role at StanfordResearch Data Analyst I at the S-SPIRE Center, Department of Surgery, Stanford University School of Medicine
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Kyle Loh
Associate Professor of Developmental Biology (Stem Cell)
BioHow the richly varied cell-types in the human body arise from one embryonic cell is a marvel and mystery. We have mapped how human embryonic stem cells develop into over twenty different types of cells. This roadmap allowed us to generate enriched populations of human brain, blood, blood vessel, bone, and other cells in a Petri dish from embryonic stem cells, with implications for developmental biology, stem cell biology, and regenerative medicine. Additionally, we have an emerging interest in exploring deadly biosafety level 4 viruses together with our collaborators.
Kyle attended the County College of Morris and Rutgers, and received his Ph.D. from Stanford (working with Irving Weissman), with fellowships from the Hertz Foundation, National Science Foundation and Davidson Institute for Talent Development. He then continued as a Siebel Investigator, and later, as an faculty member at Stanford. Kyle is a Packard Fellow, Pew Scholar, Human Frontier Science Program Young Investigator and Baxter Foundation Faculty Scholar. His research has been recognized by the NIH Director's Early Independence Award, ISSCR Early Career Impact Award, Forbes 30 Under 30, Harold Weintraub Graduate Award, Hertz Foundation Thesis Prize and A*STAR Investigatorship. -
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. -
Yashas Ullas Lokesha
Postdoctoral Scholar, Radiology
BioDr. Yashas Ullas Lokesha is a Postdoctoral Fellow in the Department of Radiology at Stanford University, working in Professor Heike E. Daldrup Link’s laboratory since 2024. His research focuses on clinical and translational molecular imaging, with a particular interest in developing and applying artificial intelligence algorithms for the automated detection and monitoring of pediatric cancers, including lymphoma and sarcomas, using PET and MRI.
He has contributed extensively to the development of imaging techniques for the noninvasive detection of cellular senescence and has a strong interest in musculoskeletal imaging. His work aims to advance precision medicine by integrating innovative imaging science with AI-driven diagnostic tools.
Before joining Stanford, Dr. Yashas served as an Assistant Professor in the Department of Radiology at Sri Devaraj Urs Medical College in India. -
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. -
Adrienne H. Long, MD, PhD
Instructor, Pediatrics - Hematology & Oncology
BioAdrienne H. Long, MD, PhD is an Instructor and Physician-Scientist in the Division of Pediatric Hematology and Oncology at the Lucile Packard Children's Hospital, Stanford. Clinically, she completed her MD at Northwestern University, her pediatrics residency at Boston Children’s Hospital, and her oncology fellowship training at Stanford University. Dr. Long sees patients with leukemias/lymphomas, and has a clinical interest in T cell malignancies.
Dr. Long received her PhD in Microbiology/Immunology through a National Institutes of Health (NIH) – Northwestern University partnership, where she worked with Dr. Crystall Mackall to advance CAR T cell therapies. Her influential thesis work was the first to identify T cell exhaustion as a critical factor limiting efficacy of CAR therapies (Long et al., Nature Medicine, 2015). She continued her research training with Dr. Nicholas Haining at the Dana Farber Cancer Institute during residency and is currently conducting her post-doctoral research with Dr. Mark Davis at Stanford.
Dr. Long’s research interests lie at the intersection of the immune system and cancer therapies. She is currently studying how thymic selection, designed to prevent auto-immunity, may also inhibit anti-tumor immunity in children. She is also interested in how immunotherapies that have revolutionized how we treat cancer can impact the developing pediatric immune system long term. -
Jonathan Z. Long
Associate Professor of Pathology
BioDr. Jonathan Long is an Associate Professor of Pathology and an Institute Scholar of Stanford ChEM-H (Chemistry, Engineering & Medicine for Human Health). His laboratory studies the molecular mechanisms of mammalian energy homeostasis. Dr. Long is the recipient of the Alfred P. Sloan Research Fellowship in Chemistry, the Breakthrough Sciences Award from the Ono Pharma Foundation, and the NIDDK Catalyst Award. Prior to arriving to Stanford, Dr. Long completed his Ph.D. in Chemistry at Scripps Research and his postdoctoral work at Harvard Medical School.
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Sharon R. Long
William C. Steere, Jr. - Pfizer Inc. Professor of Biological Sciences and Professor, by courtesy, of Biochemistry
Current Research and Scholarly InterestsBiochemistry, genetics and cell biology of plant-bacterial symbiosis
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Teri A Longacre
Richard L. Kempson, MD, Professor in Surgical Pathology
Current Research and Scholarly InterestsGynecological, breast and gastrointestinal pathology with major emphasis on ovarian cancer and ovarian tumors of low malignant potential. Pathology of familial and hereditary breast-ovarian-GI cancer.
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Dr. Michael T. Longaker
Deane P. and Louise Mitchell Professor in the School of Medicine and Professor, by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsWe have six main areas of current interest: 1) Cranial Suture Developmental Biology, 2) Distraction Osteogenesis, 3) Fibroblast heterogeneity and fibrosis repair, 4) Scarless Fetal Wound Healing, 5) Skeletal Stem Cells, 6) Novel Gene and Stem Cell Therapeutic Approaches.
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Frank M. Longo, MD, PhD
George E. and Lucy Becker Professor of Medicine and Professor, by courtesy, of Neurosurgery
Current Research and Scholarly InterestsClinical interests include Alzheimer's disease and Huntington's disease and the development of effective therapeutics for these disorders. Laboratory interests encompass the elucidation of signaling mechanisms relevant to neurodegenerative disorders and the development of novel small molecule approaches for the treatment of neurodegenerative and other neurological disorders.
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Isaac Longobardi
MD Student, expected graduation Spring 2030
BioIsaac Longobardi, from Brooklyn, New York, is pursuing an MD at Stanford School of Medicine. He received his bachelor’s degree in social anthropology from Harvard College. Isaac aspires to transform long-term care services and delivery models for individuals with frailty, chronic illness, and mental and behavioral health conditions and their communities. Between 2022 and 2025, Isaac helped to launch and directed the Moving Forward Nursing Home Quality Coalition—a representative group of nursing home stakeholders working to advance recommendations from “The National Imperative to Improve Nursing Home Quality,” a landmark 2022 report by the National Academies of Sciences, Engineering, and Medicine. Prior to that, he piloted multigenerational living while working as a volunteer youth and community engagement program coordinator at Hebrew SeniorLife, a Boston-based elder services nonprofit. Isaac’s speaking and writing on aging and long-term care include award-winning undergraduate research, a Substack, co-authored health policy articles, and conference presentations.
ORCID: https://orcid.org/0009-0009-8481-571X -
James Longoria, MD
Clinical Associate Professor, Cardiothoracic Surgery
BioDr. Longoria is a board-certified, fellowship-trained cardiothoracic surgeon. He is a clinical associate professor in the Department of Cardiothoracic Surgery at Stanford University School of Medicine.
Deeply accomplished in all facets of complex adult cardiothoracic procedures, Dr. Longoria is a high-volume surgeon with more than 20 years of experience and an exceptionally low mortality and complication rate.
Dr. Longoria’s surgical experience includes complex mitral valve and tricuspid valve repair, coronary artery bypass grafting, adult congenital repair, as well as procedures for high risk VAD patients. He performs cardiac transplantation, carotid endarterectomy, and implantation of all FDA-approved mechanical circulatory support devices. Additionally, he performs catheter-based valvular procedures (such as transcatheter aortic valve replacement, or TAVR) and open and video-assisted thoracoscopic surgery (VATS) for pulmonary surgical procedures.
He has an applied interest in atrial fibrillation (AFib) and is a nationally recognized expert in the minimally invasive surgical treatment of Atrial Fibrillation (AFib). Dr. Longoria was issued a method patent from the U.S. Patent and Trademark Office for developing the TTMaze (Totally Thoracoscopic) procedure that is central to the Dual Epicardial Endocardial Persistent (DEEP) AFib clinical trial.
Before joining Stanford, Dr. Longoria was the surgical director of cardiac ablation at a prominent AFib center certified by the Society of Chest Pain Centers. He holds patents for a synthetic chord used to connect tissue and for specialized methods he developed to treat cardiac arrhythmias.
At Stanford, Dr. Longoria brings a commitment to patientcentric, personalized care. He is committed to making the experience of surgery as pleasant as possible for his patients. He is also excited for the opportunity to conduct translational research that utilizes the most advanced technology available, in collaboration with colleagues from other disciplines.
For his outcomes and high patient satisfaction ratings, Dr. Longoria has earned awards and recognition, including being named a Top Doctor of Sacramento by his peers for the last five years in a row. He has also been an honoree of the President’s Award for patient satisfaction by the Sutter Independent Physicians.
Dr. Longoria has published articles on genetic variants associated with atrial fibrillation, thoracoscopic left atrial appendage clipping, radiofrequency ablation, and other topics. His work has appeared in the Journal of Thoracic and Cardiovascular Surgery, Annals of Thoracic Surgery, Journal of the American College of Cardiology, Journal of Cardiovascular Electrophysiology, and elsewhere.
He has made numerous presentations on atrial fibrillation surgery and other topics at conferences including the Annual Meeting of the American Association of Thoracic Surgery, Society of Thoracic Surgeons, and International Society for Heart and Lung Transplantation.
Dr. Longoria is a Fellow of the American College of Surgeons and American College of Cardiology. He is a member of the Society of Thoracic Surgeons, Western Thoracic Surgical Association, the International Society for Minimally Invasive Cardiothoracic Surgery, and the Heart Rhythm Society. -
Billy W Loo Jr, MD PhD FASTRO FACR
Professor of Radiation Oncology (Radiation Therapy)
Current Research and Scholarly InterestsMy clinical specialty is precision targeted radiotherapy of thoracic cancers.
My research is on developing next-generation ultra-rapid radiotherapy technology (PHASER) and studying the radiobiological effects of FLASH treatment.
My clinical research is on advanced 4-D image-guided radiotherapy and stereotactic ablative radiotherapy (SABR), and functional and metabolic imaging and imaging biomarkers. -
Jaime Lopez, MD
Professor of Neurology and Neurological Sciences (Adult Neurology) and, by courtesy, of Neurosurgery
Current Research and Scholarly InterestsMy clinical interests are in the areas of Intraoperative Neurophysiologic Monitoring (IOM), clinical neurophysiology, electromyopgraphy and in the use of botulinum toxins in the treatment of neurologic disorders. Our IOM groups research is in the development of new and innovative techniques for monitoring the nervous system during surgical and endovascular procedures and how these alter surgical management and patient outcomes. I am also active in formulating national IOM practice guidelines.
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Romain Lopez
Affiliate, Genetics
BioSince Fall 2021, I am a joint postdoctoral scholar at Stanford University and Genentech Research and Early Development, hosted by Jonathan Pritchard and Aviv Regev. I recently obtained my PhD degree from the department of Electrical Engineering and Computer Sciences at UC Berkeley, advised by Mike Jordan & Nir Yosef. My research interests lie at the intersection of statistics, computation and modeling with a focus on biological applications.
A significant part of my research is driven by building more statistically accurate and faster machine learning software for analyzing single-cell omics data. I developed single-cell Variational Inference (scVI), a flexible model and a scalable inference method for comprehensive analysis of single-cell transcriptomes. I co-developed scvi-tools, an open-source software suite for fully-probabilistic modeling of single-cell multi-omics data. You may learn more about these topics in my guest lecture of the Deep Learning in the Life Sciences class at MIT.
More generally, I am interested in the broader area of ML + Science. Deep generative models provide an appealing and flexible paradigm for learning distributions, but quite some work is needed to fully exploit them as part of a scientific hypothesis testing pipeline (e.g., causality, interpretability, disentanglement, decision-making).
Previously, I worked on counterfactual inference and offline policy learning methods in collaboration with technology companies. In 2018, I visited Le Song at Ant Financial in Hangzhou. In 2019, I visited Inderjit Dhillon at Amazon in Berkeley. Before graduate school, I obtained a MSc in applied mathematics from Ecole polytechnique, Palaiseau in 2016. Additionally, I worked as an intern at the Harvard Medical School with Allon Klein in 2016. I was born and grew up in Bedarieux, France.
