Wu Tsai Human Performance Alliance
Showing 201-220 of 349 Results
-
Maya Mathur
Associate Professor (Research) of Pediatrics, of Medicine (Biomedical Informatics) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsSynthesizing evidence across studies while accounting for biases
-
Michaëlle Ntala Mayalu
Assistant Professor of Mechanical Engineering and, by courtesy, of Bioengineering
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. -
Jay McClelland
Lucie Stern Professor in the Social Sciences, Professor of Psychology and, by courtesy, of Linguistics and of Computer Science
Current Research and Scholarly InterestsMy research addresses topics in perception and decision making; learning and memory; language and reading; semantic cognition; and cognitive development. I view cognition as emerging from distributed processing activity of neural populations, with learning occurring through the adaptation of connections among neurons. A new focus of research in the laboratory is mathematical cognition and reasoning in humans and contemporary AI systems based on neural networks.
-
Tracey McLaughlin
Professor of Medicine (Endocrinology)
Current Research and Scholarly InterestsDr. McLaughlin conducts clinical research related to obesity, insulin resistance, diabetes, and cardiovascular disease (CVD). Current studies include: 1) the impact of macronutrient composition on metabolism, DM2 and CVD; 2) comparison of different weight loss diets on metabolism and CVD risk reduction ; 3) role of adipocytes and adipose tissue immune cells in modulating insulin resistance; 4) use of continuous glucose monitoring and multi-omics to define metabolic phenotype and precision diets
-
Jennifer A McNab
Associate Professor (Research) of Radiology (Radiological Sciences Laboratory)
Current Research and Scholarly InterestsMy research is focused on developing magnetic resonance imaging (MRI) methods that probe brain tissue microstructure. This requires new MRI contrast mechanisms, strategic encoding and reconstruction schemes, physiological monitoring, brain tissue modeling and validation. Applications of these methods include neuronavigation, neurosurgical planning and the development of improved biomarkers for brain development, degeneration, disease and injury.
-
Vinod Menon
Rachael L. and Walter F. Nichols, MD, Professor and Professor, by courtesy, of Education and of Neurology and Neurological Sciences
On Partial Leave from 12/16/2025 To 03/15/2026Current Research and Scholarly InterestsEXPERIMENTAL, CLINICAL AND THEORETICAL SYSTEMS NEUROSCIENCE
Cognitive neuroscience; Systems neuroscience; Cognitive development; Psychiatric neuroscience; Functional brain imaging; Dynamical basis of brain function; Nonlinear dynamics of neural systems. -
Emmanuel Mignot, MD, PhD
Craig Reynolds Professor of Sleep Medicine and Professor, by courtesy, of Genetics and of Neurology and Neurological Sciences
Current Research and Scholarly InterestsThe research focus of the laboratory is the study of sleep and sleep disorders such as narcolepsy and Kleine Levin syndrome. We also study the neurobiological and genetic basis of the EEG and develop new tools to study sleep using nocturnal polysomnography. Approaches mostly involve human genetic studies (GWAS, sequencing), EEG signal analysis (deep learning), and immunology (narcolepsy is an autoimmune disease of the brain). We also work on autoimmune encephalitis.
-
Carlos Milla
Professor of Pediatrics (Pulmonary Medicine) and, by courtesy, of Medicine (Pulmonary, Allergy and Critical Care Medicine)
Current Research and Scholarly InterestsAt Stanford University I developed and currently direct the CF Translational Research Center. The overarching goal of the center is to provide the groundwork to streamline, accelerate, and promote the translation of basic discoveries into effective therapies and interventions to benefit patients affected by cystic fibrosis. My laboratory group currently has three main lines of investigation: respiratory cell biology in CF; remote biochemical monitoring; and lung physiology in young children.
-
John Mitchell
Mary and Gordon Crary Family Professor in the School of Engineering, and Professor, by courtesy, of Electrical Engineering and of Education
Current Research and Scholarly InterestsProgramming languages, computer security and privacy, blockchain, machine learning, and technology for education
-
Subhasish Mitra
William E. Ayer Professor of Electrical Engineering and Professor of Computer Science
BioSubhasish Mitra holds the William E. Ayer Endowed Chair Professorship in the Departments of Electrical Engineering and Computer Science at Stanford University. He directs the Stanford Robust Systems Group, serves on the leadership team of the Microelectronics Commons AI Hardware Hub funded by the US CHIPS and Science Act, leads the Computation Focus Area of the Stanford SystemX Alliance, and is the Associate Chair (Faculty Affairs) of Computer Science. His research ranges across Robust Computing, NanoSystems, Electronic Design Automation (EDA), and Neurosciences. Results from his research group have influenced almost every contemporary electronic system and have inspired significant government and research initiatives in multiple countries. He has held several international academic appointments — the Carnot Chair of Excellence in NanoSystems at CEA-LETI in France, Invited Professor at EPFL in Switzerland, and Visiting Professor at the University of Tokyo in Japan. Prof. Mitra also has consulted for major technology companies including AMD (XIlinx), Cisco, Google, Intel, Merck (EMD Electronics), and Samsung.
In the field of Robust Computing, he has created many key approaches for circuit failure prediction, CASP on-line diagnostics, QED system validation, soft error resilience, and X-Compact test compression. Their adoption by industry is growing rapidly, in markets ranging from cloud computing to automotive systems, under various names (Silicon Lifecycle Management, Predictive Health Monitoring, In-System Test Architecture, In-field Scan, In-fleet Scan). His X-Compact approach has proven essential to cost-effective manufacturing and high-quality testing of almost all 21st century systems. X-Compact and its derivatives enabled billions of dollars of cost savings across the industry.
In the field of NanoSystems, with his students and collaborators, he demonstrated several firsts: the first NanoSystems hardware among all beyond-silicon nanotechnologies for energy-efficient computing (the carbon nanotube computer), the first 3D NanoSystem with computation immersed in data storage, the first published end-to-end computing systems using resistive memories (Resistive RAM-based non-volatile computing systems delivering 10-fold energy efficiency versus embedded flash), and the first monolithic 3D integration combining heterogeneous logic and memory technologies in silicon foundry. These received wide recognition: cover of NATURE, several Highlights to the US Congress, and highlight as "important scientific breakthrough" by news organizations worldwide.
Prof. Mitra's honors include the Harry H. Goode Memorial Award (by IEEE Computer Society for outstanding contributions in the information processing field), Newton Technical Impact Award in EDA (test-of-time honor by ACM SIGDA and IEEE CEDA), the University Researcher Award (by Semiconductor Industry Association and Semiconductor Research Corporation to recognize lifetime research contributions), the EDAA Achievement Award (by European Design and Automation Association, for outstanding lifetime contributions to electronic design, automation and testing), the Intel Achievement Award (Intel’s highest honor), and the Distinguished Alumnus Award from the Indian Institute of Technology, Kharagpur. He and his students have published over 15 award-winning papers across 5 topic areas (technology, circuits, EDA, test, verification) at major venues including the Design Automation Conference, International Electron Devices Meeting, International Solid-State Circuits Conference, International Test Conference, Symposia on VLSI Technology/VLSI Circuits, and Formal Methods in Computer-Aided Design. Stanford undergraduates have honored him several times "for being important to them." He is a Fellow of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), and a Foreign Member of Academia Europaea. -
Stephen B. Montgomery
Stanford Medicine Professor of Pathology, Professor of Genetics and of Biomedical Data Science and, by courtesy, of Computer Science
Current Research and Scholarly InterestsWe focus on understanding the effects of genome variation on cellular phenotypes and cellular modeling of disease through genomic approaches such as next generation RNA sequencing in combination with developing and utilizing state-of-the-art bioinformatics and statistical genetics approaches. See our website at http://montgomerylab.stanford.edu/
-
Kelli Moran-Miller, PhD
Clinical Professor, Psychiatry and Behavioral Sciences
BioDr. Kelli Moran-Miller joined Stanford in Psychiatry & Behavioral Sciences in 2015. She is a licensed psychologist specializing in athlete mental health and sport and performance psychology. She also is a Certified Mental Performance Consultant with the Association of Applied Sport Psychology and a member of the US Olympic Committee registry. In her current role with Stanford Athletics (DAPER), she provides clinical and performance psychology services for varsity student-athletes, coaches, staff, and varsity sport teams. Prior to Stanford, she was the Director of Counseling and Sport Psychology - Athletics at the University of Iowa.
-
Paula M. L. Moya
Danily C. and Laura Louise Bell Professor of the Humanities and Professor, by courtesy, of African and African American Studies and of Iberian and Latin American Cultures
BioMoya is currently the Ellen Andrews Wright Internal Fellow at the Stanford Humanities Center, where she is on leave for AY 2025-2026.
She is the author of The Social Imperative: Race, Close Reading, and Contemporary Literary Criticism (Stanford UP 2016) and Learning From Experience: Minority Identities, Multicultural Struggles (UC Press 2002). She has co-edited three collections of original essays including Doing Race: 21 Essays for the 21st Century (W.W. Norton, Inc. 2010), Identity Politics Reconsidered (Palgrave 2006) and Reclaiming Identity: Realist Theory and the Predicament of Postmodernism (UC Press 2000).
Her teaching and research focus on twentieth-century and early twenty-first century literary studies, feminist theory, critical theory, narrative theory, speculative fiction, interdisciplinary approaches to race and ethnicity, and Chicano/a and U.S. Latina/o studies.
At Stanford, Moya has served as the Faculty Director of the Center for Comparative Studies in Race and Ethnicity (CCSRE), Director of the Research Institute of the Center for Comparative Studies in Race and Ethnicity (CCSRE), Director of the Program of Modern Thought and Literature (MTL), Vice Chair of the Department of English, and the Director of the Undergraduate Program of CCSRE. She has been the faculty coordinator of several faculty-graduate student research networks sponsored by the Stanford Humanities Center, the Research Institute for the Comparative Studies in Race and Ethnicity, and Modern Thought and Literature. They include The Interdisciplinary Working Group in Critical Theory (2015-2016, 2012-2014), Feminist Theory (2007-08, 2002-03), Americanity / Coloniality / Modernity (2006-07), and How Do Identities Matter? (2003-06).
Moya was a co-PI of the Stanford Catalyst Motivating Mobility project, and team leader of the Perfecto Project, a fitness tracking app that combines narrative theory, social psychology, and UI/UX research to leverage culturally-specific narratives and artwork to encourage positive behavior change and healthier living in middle-aged and elderly Latinx populations. She was also a founding organizer and coordinating team member of The Future of Minority Studies research project (FMS), an inter-institutional, interdisciplinary, and multigenerational research project facilitating focused and productive discussions about the democratizing role of minority identity and participation in a multicultural society.
Moya has been a fellow at the Center for Advanced Study in the Behavioral Sciences, a Clayman Institute Fellow, a CCSRE Faculty Research Fellow, and a Ford Foundation posdoctoral fellow. She has also been the recipient of the Dean’s Award for Distinguished Teaching and an Outstanding Chicana/o Faculty Member award. -
Julie Muccini, MS, OTR/L
Research Engineer, Rad/Musculoskeletal Imaging
BioJulie Muccini is an occupational therapist who has spent most of her clinical career working with individuals with neurological diagnoses. She is registered and licensed in California and is a member of the American Occupational Therapy Association (AOTA) and the Occupational Therapy Association of California (OTAC). She is actively involved in research working with individuals post-stroke, neuromuscular diseases, and osteoarthritis; additional work includes assessing shoulder movements, sprinting, and balancing tasks; she works in the Human Performance Lab with an interdisciplinary team integrating biomechanics, biomedical engineering, physiology, psychology, and rehabilitation. Ms. Muccini received her bachelor of science in industrial engineering and operations research from the University of Massachusetts at Amherst and her master of science in occupational therapy from Boston University. She started working at the hospital at Stanford in 1997 and transitioned to the Outpatient Neuro Rehab Clinic at the Stanford Neurosciences Health Center in 2014. In March 2021, Julie moved to the Stanford University School of Medicine to work in the Human Performance Lab at the Arrillaga Center for Sports and Recreation, ACSR, as a Wu Tsai Human Performance Alliance member.
-
Jonathan N. Myers
Clinical Professor (Affiliated), Medicine - Med/Cardiovascular Medicine
BioDr. Myers is a Health Research Scientist at the Palo Alto VA Health Care System; a Clinical Professor at Stanford University (Affiliated), and a Senior Research Career Scientist Award recipient through the VA Rehabilitation Research and Development Program. His research has focused on primary and secondary prevention, and the clinical applications of exercise testing and rehabilitation in patients with cardiovascular disease and other chronic conditions. He has a lengthy history of studying the epidemiology of cardiopulmonary exercise test responses, physical activity patterns, and other lifestyle factors and their relation to health outcomes. He manages the Veterans Exercise Testing Study (VETS), an ongoing, prospective evaluation of Veteran subjects referred for exercise testing for clinical reasons, designed to address exercise test, clinical, and lifestyle factors and their association with health outcomes.
He earned his bachelor’s degree from the University of California, Santa Barbara, his master's degree from San Diego State University, and his doctorate from the University of Southern California. He has been a board member for many organizations including the American Heart Association (AHA), the American Association of Cardiovascular and Pulmonary Rehabilitation (AACVPR), and the American College of Sports Medicine (ACSM), and serves on the editorial board for 9 journals. He is a recipient of the Michael Pollock Established Investigator Award through the AACVPR, a recipient of the Steven N Blair Award for excellence in physical activity research from the AHA Council on Epidemiology and Prevention and is the 2022 recipient of the American College of Sports Medicine Citation Award. He is a fellow of the AACVPR, ACSM, American College of Cardiology, and the AHA, and has authored and co-authored guidelines on exercise testing and rehabilitation for each of these organizations, including the 2021 editions of the ACSM and AACVPR guidelines. -
Hiromitsu (Hiro) Nakauchi
Professor of Genetics (Stem Cell)
Current Research and Scholarly InterestsTranslation of discoveries in basic research into practical medical applications
-
Hae Young Noh
Professor of Civil and Environmental Engineering
BioHae Young Noh is a professor in the Department of Civil and Environmental Engineering. Her research introduced the new concept of “structures as sensors” to enable physical structures (e.g., buildings and vehicle frames) to be user- and environment-aware. In particular, these structures indirectly sense humans and surrounding environments through their structural responses (i.e., vibrations) by inferring the desired information (e.g., human behaviors, environmental conditions, heating and cooling system performance), instead of directly measuring the sensing targets with additional dedicated sensors (e.g., cameras, motion sensors). This concept brought a paradigm shift in how we view these structures and how the structures interact with us.
Traditionally, structures that we inhabit (such as buildings or vehicles) are considered as passive and unchanging objects that we need to monitor and control, utilizing a dense set of sensors to collect information. This has often been complicated by “noise” caused by the occupants and environments. For example, building vibrations induced by indoor and outdoor environmental and operational conditions (e.g., people walking around, traffic outside, heating system running, etc.), have been often seen as noise that needs to be removed in traditional building science and structural engineering; however, they are a rich source of information about structure, users, environment, and resources. Similarly, in vehicle engineering, researchers and engineers have been investigating control and dynamics to reduce vehicle vibration for safety and comfort. However, vibrations measured inside vehicles contain information about transportation infrastructure, vehicle itself, and driver.
Noh's work utilizes this “noise” to empower the structures with the ability to perceive and understand the information about users and surroundings using their own responses, and actively adopt and/or interact to enhance their sustainability and the occupants’ quality of life. Since she utilizes the structure itself as a sensing medium, information collection involves a simpler set of hardware that can be easily maintained throughout the structural lifetime. However, the analysis of data to separate the desired information becomes more challenging. This challenge is addressed through high-rate dynamic sensing and multi-source inferencing. Ultimately, her work aims to allow structural systems to become general sensing platforms that are easier and more practical to deploy and maintain in a long-term.
At Stanford University, Noh received her PhD and MS degrees in the CEE department and her second MS degree in Electrical Engineering. Noh earned her BS in Mechanical and Aerospace Engineering at Cornell University.
