Showing 11-20 of 77 Results
Vinit B. Mahajan, MD, PhD
Professor of Ophthalmology
Current Research and Scholarly InterestsOur focus is the development of personalized medicine for eye diseases through translation of our discoveries in proteomics, genomics, and phenomics in humans, mice and tissue culture models.
Assistant Professor of Neurosurgery
BioDr. Mahaney is a Pediatric Neurosurgeon with clinical interest in Hydrocephalus, Craniovertebral Junction abnormalities, Spasticity, Spinal dysraphism and Myelomeningocele, Central Nervous System tumors, and Pediatric Epilepsy surgery. She completed residency training at the University of Iowa Hospitals and Clinics and subspecialty Pediatric Neurosurgery training at The Hospital for Sick Children in Toronto and the Barrow Neurologic Institute at Phoenix Children's Hospital. She is interested in advancing Neuro-endoscopic techniques in Pediatric Neurosurgical practice. Dr. Mahaney's research focuses on delineating the role of iron in the development of post-hemorrhagic hydrocephalus.
Assistant Professor of Chemical Engineering and, by courtesy, of Materials Science and Engineering
BioDanielle J. Mai joined the Department of Chemical Engineering at Stanford in January 2020. She earned her B.S.E. in Chemical Engineering from the University of Michigan and her M.S. and Ph.D. in Chemical Engineering from the University of Illinois at Urbana-Champaign under the guidance of Prof. Charles M. Schroeder. Dr. Mai was an Arnold O. Beckman Postdoctoral Fellow in Prof. Bradley D. Olsen's group at MIT, where she engineered materials with selective biomolecular transport properties, elucidated mechanisms of toughness and extensibility in entangled associative hydrogels, and developed high-throughput methods for the discovery of polypeptide materials. The Mai Lab engineers biopolymers, which are the building blocks of life. Specifically, the group integrates precise biopolymer engineering with multi-scale experimental characterization to advance biomaterials development and to enhance fundamental understanding of soft matter physics. Dr. Mai's work has been recognized through the AIChE 35 Under 35 Award (2020), APS DPOLY/UKPPG Lecture Exchange (2021), Air Force Office of Scientific Research Young Investigator Program Award (2022), ACS PMSE Arthur K. Doolittle Award (2023), and MIT Technology Review List of 35 Innovators Under 35 (2023).
Ravi Majeti MD, PhD
Director, Stanford Institute for Stem Cell Biology and Regenerative Medicine, Virginia and D. K. Ludwig Professor and Professor of Medicine (Hematology)
Current Research and Scholarly InterestsThe Majeti lab focuses on the molecular/genomic characterization and therapeutic targeting of leukemia stem cells in human hematologic malignancies, particularly acute myeloid leukemia (AML). Our lab uses experimental hematology methods, stem cell assays, genome editing, and bioinformatics to define and investigate drivers of leukemia stem cell behavior. As part of these studies, we have led the development and application of robust xenotransplantation assays for human hematopoietic cells.
Senior Associate Dean, Faculty Development and Diversity, Taube Professor of Global Health and Infectious Diseases, Professor of Pediatrics (Infectious Diseases) and of Epidemiology and Population Health
Current Research and Scholarly InterestsMy research focuses on epidemiologic aspects of viral vaccines and perinatal HIV infection. This includes the molecular epidemiology of factors affecting the immunogenicity of oral polio vaccine (OPV) in developing areas of the world, and now the epidemiology of transmission and circulation of vaccine derived polioviruses in order to assist in global eradication of polio. I also work in development of methods to prevent breastfeeding transmission of HIV in Africa.
Nancy Friend Pritzker Professor of Psychiatry and Behavioral SciencesOn Leave from 11/01/2023 To 10/31/2025
Current Research and Scholarly InterestsLong-lasting changes in synaptic strength are important for the modification of neural circuits by experience. A major goal of my laboratory is to elucidate the molecular events that trigger various forms of synaptic plasticity and the modifications in synaptic proteins that are responsible for the changes in synaptic efficacy.
Associate Professor (Research) of Radiology (Cancer Early Detection-Canary Center)
Current Research and Scholarly InterestsThe Mallick Lab is focused on using integrative, multi-omic approaches to model the processes that govern cellular dynamics and to use those models to discover cancer biomarkers and molecular mechanisms.
Edward Manche, MD
Professor of Ophthalmology
BioEdward E. Manche, MD is Professor of Ophthalmology and Director of the Cornea and Refractive Surgery Service at Stanford University School of Medicine. He received his medical degree from Albert Einstein College of Medicine and completed residency training at the University of Medicine and Dentistry at New Jersey where he served as Chief Resident. He completed a two-year fellowship in Cornea and Refractive Surgery at the Jules Stein Eye Institute at UCLA.
Dr. Manche is a fellow of the American Academy of Ophthalmology and received its Achievement Award in 2003 and its Senior Achievement Award in 2014. He was elected to active membership in the American Ophthalmological Society in 2011, and is recognized in Best Doctors in America and Guide to America's Top Physicians. He serves on the editorial boards of the American Journal of Ophthalmology, Journal of Ophthalmology, Clinical and Experimental Ophthalmology and Journal of Refractive Surgery.
He lectures widely on topics in cornea and refractive surgery and has published over 130 peer-reviewed articles and 30 book chapters.
Thomas M. Siebel Professor of Machine Learning, Professor of Linguistics, of Computer Science and Senior Fellow at the Stanford Institute for HAIOn Leave from 10/01/2023 To 12/31/2023
BioChristopher Manning is the inaugural Thomas M. Siebel Professor in Machine Learning in the Departments of Linguistics and Computer Science at Stanford University, Director of the Stanford Artificial Intelligence Laboratory (SAIL), and an Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). His research goal is computers that can intelligently process, understand, and generate human languages. Manning was an early leader in applying Deep Learning to Natural Language Processing (NLP), with well-known research on the GloVe model of word vectors, attention, machine translation, question answering, self-supervised model pre-training, tree-recursive neural networks, machine reasoning, dependency parsing, sentiment analysis, and summarization. He also focuses on computational linguistic approaches to parsing, natural language inference and multilingual language processing, including being a principal developer of Stanford Dependencies and Universal Dependencies. Manning has coauthored leading textbooks on statistical approaches to NLP (Manning and Schütze 1999) and information retrieval (Manning, Raghavan, and Schütze, 2008), as well as linguistic monographs on ergativity and complex predicates. His online CS224N Natural Language Processing with Deep Learning videos have been watched by hundreds of thousands of people. He is an ACM Fellow, a AAAI Fellow, and an ACL Fellow, and a Past President of the ACL (2015). His research has won ACL, Coling, EMNLP, and CHI Best Paper Awards, and an ACL Test of Time Award. He has a B.A. (Hons) from The Australian National University and a Ph.D. from Stanford in 1994, and an Honorary Doctorate from U. Amsterdam in 2023, and he held faculty positions at Carnegie Mellon University and the University of Sydney before returning to Stanford. He is the founder of the Stanford NLP group (@stanfordnlp) and manages development of the Stanford CoreNLP and Stanza software.
Andrew J. Mannix
Assistant Professor of Materials Science and Engineering
Current Research and Scholarly InterestsAtomically thin 2D materials incorporated into van der Waals heterostructures are a promising platform to deterministically engineer quantum materials with atomically resolved thickness and abrupt interfaces across macroscopic length scales while retaining excellent material properties. Because 2D materials exhibit a wide range of electronic characteristics with properties that often rival conventional electronic materials — e.g., metals, semiconductors, insulators, and superconductors — it is possible to combine them in virtually infinite variety to achieve diverse heterostructures. Furthermore, the van der Waals interface enables interlayer twist engineering to modify the interlayer symmetry, periodic potential (moiré superlattice), and hybridization, which has resulted in novel quantum states of matter. Many of these heterostructures, especially those involving specific interlayer twist angles, would be otherwise infeasible through direct growth.
The Mannix Group is developing a unique set of in-house capabilities to systematically elucidate the fundamental structure-property relationships underpinning the growth of 2D materials and their inclusion into van der Waals heterostructures. Greater understanding will allow us to provide a platform for engineering the properties of matter at the atomic scale and offer guidance for emerging applications in novel electronics and in quantum information science.
To accomplish this, we employ: precise growth techniques such as chemical vapor deposition and molecular beam epitaxy; automated van der Waals assembly; and atomically-resolved microscopy including cryo-STM/AFM.