Wu Tsai Human Performance Alliance
Showing 211-220 of 358 Results
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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
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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.
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Vinod Menon
Rachael L. and Walter F. Nichols, MD, Professor and Professor, by courtesy, of Education and of Neurology and Neurological Sciences
Current 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.
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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.
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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
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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. -
Maria Emilia Montez Rath
Assistant Professor (Research) of Medicine (Nephrology)
BioDr. Montez-Rath completed her PhD in Biostatistics from Boston University in 2008 focusing on methods for modeling interaction effects in studies involving populations with high levels of comorbidity, such as persons on dialysis. She is a senior biostatistician and director of the Biostatistics Core of the Division of Nephrology at Stanford University where she has been collaborating with faculty and fellows since 2010 to study a variety of research questions relevant to kidney disease. Her methodological interests are mainly data-driven and include the handling of missing data, survival analysis with an emphasis on models for time-varying covariates and competing risks, methods for analyzing epidemiologic studies, analysis of correlated data and comparative effectiveness studies, as well as data visualization.
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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/
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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.