Vice Provost and Dean of Research


Showing 141-160 of 196 Results

  • Anish Mitra

    Anish Mitra

    Assistant Professor of Psychiatry and Behavioral Sciences (General Psychiatry and Psychology)

    BioAnish Mitra is a neuroscientist and psychiatrist interested in understanding how neural activity in large-scale networks causes mental illness.

  • Subhasish Mitra

    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.

  • Daria Mochly-Rosen

    Daria Mochly-Rosen

    George D. Smith Professor of Translational Medicine

    Current Research and Scholarly InterestsTwo areas: 1. Using rationally-designed peptide inhibitors to study protein-protein interactions in cell signaling. Focus: protein kinase C in heart and large GTPases regulating mitochondrial dynamics in neurodegdenration. 2. Using small molecules (identified in a high throughput screens and synthetic chemistry) as activators and inhibitors of aldehyde dehydrogenases, a family of detoxifying enzymes, and glucose-6-phoshate dehydrogenase, in normal cells and in models of human diseases.

  • Everett J. Moding, MD, PhD

    Everett J. Moding, MD, PhD

    Assistant Professor of Radiation Oncology (Radiation Therapy)

    Current Research and Scholarly InterestsMy laboratory performs translational research using analysis of human samples to identify critical mediators of treatment resistance that can be validated in preclinical models and targeted to enhance the efficacy of cancer therapy.

  • W. E. Moerner

    W. E. Moerner

    Harry S. Mosher Professor and Professor, by courtesy, of Applied Physics

    Current Research and Scholarly InterestsLaser spectroscopy and microscopy of single molecules to probe biological systems, one biomolecule at a time. Primary thrusts: fluorescence microscopy far beyond the optical diffraction limit (PALM/STORM/STED), methods for 3D optical microscopy in cells, and trapping of single biomolecules in solution for extended study. We explore protein localization patterns in bacteria, structures of amyloid aggregates in cells, signaling proteins in the primary cilium, and dynamics of DNA and RNA.

  • Matteo Amitaba Mole'

    Matteo Amitaba Mole'

    Assistant Professor of Obstetrics and Gynecology (Reproductive, Perinatal & Stem Cell Biology Research)

    Current Research and Scholarly InterestsWe study how the human embryo implants inside the maternal uterine tissue to establish a healthy pregnancy and the underlying maternal-embryo communication.

  • Denise M. Monack

    Denise M. Monack

    Martha Meier Weiland Professor in the School of Medicine

    Current Research and Scholarly InterestsThe primary focus of my research is to understand the genetic and molecular mechanisms of intracellular bacterial pathogenesis. We use several model systems to study complex host-pathogen interactions in the gut and in immune cells such as macrophages and dendritic cells. Ultimately we would like to understand how Salmonella persists within certain hosts for years in the face of a robust immune response.

  • Benoît Monin

    Benoît Monin

    Bowen H. and Janice Arthur McCoy Professor of Leadership Values and Professor of Psychology

    BioBenoît Monin received his Ph.D. in Psychology from Princeton University, and an M.Sc. in Social Psychology at the London School of Economics. He completed his undergraduate studies at ESSEC (France). Monin joined the Stanford Department of Psychology in 2001, and since 2008 he has held appointments both in psychology and in the Organizational Behavior area at the Stanford Graduate School of Business.

  • Stephen Monismith

    Stephen Monismith

    Obayashi Professor in the School of Engineering and Professor of Oceans

    Current Research and Scholarly InterestsHydrodynamics of lakes, estuaries, coral reefs, kelp forests and the coastal ocean

  • Michelle Monje

    Michelle Monje

    Milan Gambhir Professor of Pediatric Neuro-Oncology and Professor, by courtesy, of Neurosurgery, of Pediatrics, of Pathology and of Psychiatry and Behavioral Sciences

    Current Research and Scholarly InterestsThe Monje Lab studies the molecular and cellular mechanisms of postnatal neurodevelopment. This includes microenvironmental influences on neural precursor cell fate choice in normal neurodevelopment and in disease states.

  • Andrea Montanari

    Andrea Montanari

    John D. and Sigrid Banks Professor and Professor of Mathematics

    BioI am interested in developing efficient algorithms to make sense of large amounts of noisy data, extract information from observations, estimate signals from measurements. This effort spans several disciplines including statistics, computer science, information theory, machine learning.
    I am also working on applications of these techniques to healthcare data analytics.

  • Maria Emilia Montez Rath

    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.

  • Stephen B. Montgomery

    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/