Stanford University
Showing 3,601-3,700 of 6,583 Results
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Nick Manfred
Ph.D. Student in Neurosciences, admitted Autumn 2022
Ph.D. Minor, BioengineeringCurrent Research and Scholarly InterestsInvestigating Batten disease pathology and treatment via multi-omic approaches
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Ali Mani
Professor of Mechanical Engineering
BioAli Mani is a professor of Mechanical Engineering at Stanford University. He is a faculty affiliate of the Institute for Computational and Mathematical Engineering at Stanford. He received his PhD in Mechanical Engineering from Stanford in 2009. Prior to joining the faculty in 2011, he was an engineering research associate at Stanford and a senior postdoctoral associate at Massachusetts Institute of Technology in the Department of Chemical Engineering. His research group builds and utilizes large-scale high-fidelity numerical simulations, as well as methods of applied mathematics, to develop quantitative understanding of transport processes that involve strong coupling with fluid flow and commonly involve turbulence or chaos. His teaching includes the undergraduate engineering math classes and graduate courses on fluid mechanics and numerical analysis.
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Ramesh Manian
Ph.D. Student in Management Science and Engineering, admitted Autumn 2024
Masters Student in Management Science and Engineering, admitted Summer 2022BioRamesh is a Principal Program Manager at Microsoft, where he works to help Fortune 500 companies with digital transformation of their modern work processes. He was a member of the founding team of TIBCO, a provider of integration and analytics solutions. He has founded several other startups in robotics, AI, and education. Ramesh is a life-long learner with diverse interests and currently interested on educating himself in biology and quantum computing, in addition to working toward his MS degree in MS&E.
He also ran Station Cafe, an Italian restaurant, in San Carlos between 2010 and 2014. -
Christopher Manning
Thomas M. Siebel Professor of Machine Learning, Professor of Linguistics, of Computer Science and Senior Fellow at the Stanford Institute for Human-Centered AI
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). From 2010, Manning pioneered Natural Language Understanding and Inference using Deep Learning, with impactful research on sentiment analysis, paraphrase detection, the GloVe model of word vectors, attention, neural machine translation, question answering, self-supervised model pre-training, tree-recursive neural networks, machine reasoning, dependency parsing, and summarization, work for which he has received two ACL Test of Time Awards and the IEEE John von Neumann Medal (2024). He earlier led the development of empirical, probabilistic approaches to NLP, computational linguistics, and language understanding, defining and building theories and systems for Natural Language Inference, syntactic parsing, machine translation, and multilingual language processing, work for which he won ACL, Coling, EMNLP, and CHI Best Paper Awards. In NLP education, Manning coauthored foundational textbooks on statistical approaches to NLP (Manning and Schütze 1999) and information retrieval (Manning, Raghavan, and Schütze, 2008), and his online CS224N Natural Language Processing with Deep Learning course videos have been watched by hundreds of thousands. In linguistics, Manning is a principal developer of Stanford Dependencies and Universal Dependencies, and has authored monographs on ergativity and complex predicates. He is the founder of the Stanford NLP group (@stanfordnlp) and was an early proponent of open source software in NLP with Stanford CoreNLP and Stanza. He is an ACM Fellow, a AAAI Fellow, and an ACL Fellow, and a Past President of the ACL (2015). Manning has a B.A. (Hons) from The Australian National University, a Ph.D. from Stanford in 1994, and an Honorary Doctorate from U. Amsterdam in 2023. He held faculty positions at Carnegie Mellon University and the University of Sydney before returning to Stanford.
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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. -
Jade Marcus
Ph.D. Student in Chemical Engineering, admitted Autumn 2023
Current Research and Scholarly InterestsActivating mg-silicates for fertilizer applications to remove CO2 and reduce N2O emissions while increasing crop yields, plant resiliency, and soil health
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Mariya Mardamshina
Postdoctoral Scholar, Bioengineering
BioMariya Mardamshina, MD, PhD, is a postdoctoral fellow in the Department of Bioengineering, working in Prof. Emma Lundberg's lab. She earned her medical degree from Semey State Medical University and completed her PhD at Tel Aviv University, where her research focused on spatial inter- and intratumoral heterogeneity in breast cancer using mass spectrometry-based proteomics. Currently, her work in the Lundberg lab centers on deciphering cell-to-cell proteomic variability within a spatial framework. Her research involves developing integrated pipelines that combine automated multiplexed staining, high-resolution microscopy, artificial intelligence, and ultra-high sensitivity mass spectrometry to achieve comprehensive proteomic analyses.
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Alison Marsden
Douglass M. and Nola Leishman Professor of Cardiovascular Diseases, Professor of Pediatrics (Cardiology) and of Bioengineering and, by courtesy, of Mechanical Engineering
Current Research and Scholarly InterestsThe Cardiovascular Biomechanics Computation Lab at Stanford develops novel computational methods for the study of cardiovascular disease progression, surgical methods, and medical devices. We have a particular interest in pediatric cardiology, and use virtual surgery to design novel surgical concepts for children born with heart defects.
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Megan Martin
Ph.D. Student in Bioengineering, admitted Autumn 2024
Current Research and Scholarly InterestsCharacterization of brain waste clearance with motion-encoding MRI
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Russell Martin
Ph.D. Student in Mechanical Engineering, admitted Autumn 2020
BioPhD student with the Stanford Biomechatronics Lab (biomechatronics.stanford.edu).
LinkedIn: linkedin.com/in/russell-m-martin/
Scholar: scholar.google.com/citations?user=h1vmmG0AAAAJ&hl=en
Website: russellmmartin.github.io -
Todd Martinez
David Mulvane Ehrsam and Edward Curtis Franklin Professor of Chemistry and Professor of Photon Science
Current Research and Scholarly InterestsAb initio molecular dynamics, photochemistry, molecular design, mechanochemistry, graphical processing unit acceleration of electronic structure and molecular dynamics, automated reaction discovery, ultrafast (femtosecond and attosecond) chemical phenomena
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Ryosuke Mashiko
Ph.D. Student in Electrical Engineering, admitted Autumn 2025
BioRyosuke Mashiko is a Ph.D. student in the Department of Electrical Engineering at Stanford University. He graduated from the University of Tokyo with a B.E. (2022) and an M.E. (2024), where he worked on computational imaging based on unsupervised learning and large-scale optical computing. Currently, he works on integrated photonics for sensing and computing applications.
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Alessandra Massa
Postdoctoral Scholar, Bioengineering
BioAlessandra Massa (she/her/hers)
Visiting PhD Student, Basque Culinary Center
Alessandra is a PhD student in Gastronomic Sciences at the Basque Culinary Center (Mondragon University). Her doctoral work focuses on exploring filamentous fungi as sustainable food sources to enhance gastronomic biodiversity. She aims to bridge science and gastronomy by integrating analytical chemistry, microbial biotechnology, sensory analysis, and food product development to find sustainable solutions to the way we eat. She has worked as a teacher of food development and technology at the Basque Culinary Center and as a food scientist at Esencia Foods, a startup focused on developing mycelium-based seafood alternatives. Alessandra has also collaborated on science-driven gastronomy projects in Michelin-starred restaurants such as Azurmendi, Mugaritz, and Culler de Pau, where fermentation is used as a tool to create new products and reduce food waste. Her favorite fungi are Rhizopus oligosporus and Neurospora intermedia, known for their ability to develop rich aromas and textures in novel food products. -
Jonathan Massey
Postdoctoral Scholar, Mechanical Engineering
BioI completed my PhD at the University of Southampton, where my research focused on the role of surface texture in the hydrodynamics of aquatic locomotion. This project advanced our understanding of the multiscale interactions involved, addressing whether fish scales might actually enhance swimming efficiency.
I have joined Prof. McKeon's group as part of the SAPPHiRE project (Shear stress And Propagating Pressure in High Reynolds Experiments). This multi-facility (Stanford, Princeton, and Melbourne) experimental campaign focuses on measurements of wall-pressure and shear-stress fluctuations in high Reynolds number boundary layers, advancing our understanding of noise and drag in high-Re settings. My involvement is in the modelling and theory for wall-pressure fluctuations and their origins in the velocity field. Previous models are based on extrapolations from low-Re physics, so I will incorporate new techniques to improve upon these in parallel with the experimental campaign. -
Blake Masters
Graduate, Computer Science
BioDesign and implementation of artificial intelligence systems.
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Gilbert Masters
Professor (Teaching) of Civil and Environmental Engineering, Emeritus
BioGILBERT M. MASTERS
MAP EMERITUS PROFESSOR OF SUSTAINABLE ENERGY
B.S. (1961) AND M.S. (1962) UNIVERSITY OF CALIFORNIA, LOS ANGELES
PH.D. (1966) Electrical Engineering, STANFORD UNIVERSITY
Gil Masters has focused on energy efficiency and renewable energy systems as essential keys to slowing global warming, enhancing energy security, and improving conditions in underserved, rural communities. Although officially retired in 2002, he has continued to teach CEE 176A: Energy-Efficient Buildings, and CEE 176B: Electric Power: Renewables and Efficiency. He is the author or co-author of ten books, including Introduction to Environmental Engineering and Science (3rd edition, 2008), Renewable and Efficient Electric Power Systems, (2nd edition, 2013), and Energy for Sustainability: Technology, Policy and Planning (2nd edition, 2018). Professor Masters has been the recipient of a number of teaching awards at Stanford, including the university's Gores Award for Excellence in Teaching, and the Tau Beta Pi teaching award from the School of Engineering. Over the years, more than 10,000 students have enrolled in his courses. He served as the School of Engineering Associate Dean for Student Affairs from 1982-1986, and he was the Interim Chair of the Department of Civil and Environmental Engineering in 1992-93. -
Emilin Maria Mathew
Masters Student in Computer Science, admitted Autumn 2023
Stanford Student Employee, Emergency MedicineBioScientist-technologist passionate about designing accessible healthcare solutions
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Meagan Mauter
Associate Professor Civil & Environmental Engineering, of Photon Science, Senior Fellow at the Woods Institute for the Environment and at the Precourt Institute for Energy and Associate Professor, by courtesy, of Chemical Engineering
BioProfessor Meagan Mauter is appointed as an Associate Professor of Civil & Environmental Engineering and as a Center Fellow, by courtesy, in the Woods Institute for the Environment. She directs the Water and Energy Efficiency for the Environment Lab (WE3Lab) with the mission of providing sustainable water supply in a carbon-constrained world through innovation in water treatment technology, optimization of water management practices, and redesign of water policies. Ongoing research efforts include: 1) developing automated, precise, robust, intensified, modular, and electrified (A-PRIME) water desalination technologies to support a circular water economy, 2) identifying synergies and addressing barriers to coordinated operation of decarbonized water and energy systems, and 3) supporting the design and enforcement of water-energy policies.
Professor Mauter also serves as the research director for the National Alliance for Water Innovation, a $110-million DOE Energy-Water Desalination Hub addressing water security issues in the United States. The Hub targets early-stage research and development of energy-efficient and cost-competitive technologies for desalinating non-traditional source waters.
Professor Mauter holds bachelors degrees in Civil & Environmental Engineering and History from Rice University, a Masters of Environmental Engineering from Rice University, and a PhD in Chemical and Environmental Engineering from Yale University. Prior to joining the faculty at Stanford, she served as an Energy Technology Innovation Policy Fellow at the Belfer Center for Science and International Affairs and the Mossavar Rahmani Center for Business and Government at the Harvard Kennedy School of Government and as an Associate Professor of Engineering & Public Policy, Civil & Environmental Engineering, and Chemical Engineering at Carnegie Mellon University. -
Michaëlle Ntala Mayalu
Assistant Professor of Mechanical Engineering
BioDr. Michaëlle N. Mayalu is an Assistant Professor of Mechanical Engineering. She received her Ph.D., M.S., and B.S., degrees in Mechanical Engineering at the Massachusetts Institute of Technology. She was a postdoctoral scholar at the California Institute of Technology in the Computing and Mathematical Sciences Department. She was a 2017 California Alliance Postdoctoral Fellowship Program recipient and a 2019 Burroughs Wellcome Fund Postdoctoral Enrichment Program award recipient. She is also a 2023 Hypothesis Fund Grantee.
Dr. Michaëlle N. Mayalu's area of expertise is in mathematical modeling and control theory of synthetic biological and biomedical systems. She is interested in the development of control theoretic tools for understanding, controlling, and predicting biological function at the molecular, cellular, and organismal levels to optimize therapeutic intervention.
She is the director of the Mayalu Lab whose research objective is to investigate how to optimize biomedical therapeutic designs using theoretical and computational approaches coupled with experiments. Initial project concepts include: i) theoretical and experimental design of bacterial "microrobots" for preemptive and targeted therapeutic intervention, ii) system-level multi-scale modeling of gut associated skin disorders for virtual evaluation and optimization of therapy, iii) theoretical and experimental design of "microrobotic" swarms of engineered bacteria with sophisticated centralized and decentralized control schemes to explore possible mechanisms of pattern formation. The experimental projects in the Mayalu Lab utilize established techniques borrowed from the field of synthetic biology to develop synthetic genetic circuits in E. coli to make bacterial "microrobots". Ultimately the Mayalu Lab aims to develop accurate and efficient modeling frameworks that incorporate computation, dynamical systems, and control theory that will become more widespread and impactful in the design of electro-mechanical and biological therapeutic machines. -
David Mazieres
Professor of Computer Science
BioMazieres investigates ways to improve the security of operating systems, file systems, and distributed systems. In addition, he has worked on large-scale peer-to-peer systems and e-mail privacy.
