Vice Provost and Dean of Research
Showing 81-100 of 196 Results
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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. -
Harley H McAdams
Professor (Research) of Developmental Biology, Emeritus
Current Research and Scholarly InterestsExperimental and theoretical analysis and modeling of genetic regulatory circuits, particularly bacterial regulation and with emphasis on global regulation of Caulobacter crescentus. Bioinformatic analysis of bacterial genomes, global patterns of gene transcription and translation.
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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.
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Michael V. McConnell, MD, MSEE
Clinical Professor, Medicine - Cardiovascular Medicine
Current Research and Scholarly InterestsMy imaging research has involved clinical and molecular Imaging of cardiovascular disease, with a focus on coronary and vascular diseases, including atherosclerosis, aortic aneurysms, and vascular inflammation.
My prevention research has involved innovative technologies to reduce coronary and vascular disease, including early disease detection plus leveraging mobile health and AI to enhance heart heart in patients and populations. -
Susan K. McConnell
Susan B. Ford Professor, Emerita
Current Research and Scholarly InterestsSusan McConnell has studied the cellular and molecular mechanisms that underlie the development of the mammalian cerebral cortex. Her work focused on the earliest events that pattern the developing forebrain, enable neural progenitors to divide asymmetrically to generate young neurons, propel the migration of postmitotic neurons outward into their final positions, and sculpt the fates and phenotypes of the neurons as they differentiate.
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Erika McEntarfer
Research Scholar and Distinguished Policy Fellow
BioErika most recently served as Commissioner of the Bureau of Labor Statistics from 2024 to 2025, and as Senior Economist on the Council of Economic Advisors from 2023 to 2024. In total, she has spent over two decades in nonpolitical roles across the federal government.
Her public service work has focused on developing new economic insights by linking government data in novel ways, and the creation of new labor market statistics. Her research on labor market dynamics has been published in American Economic Journal: Macroeconomics, the Journal of Labor Economics, and the Journal of Economic Perspectives. She holds a bachelor’s degree from Bard College and a Ph.D. in economics from Virginia Tech. -
Daniel McFarland
Professor of Education and, by courtesy, of Sociology and of Organizational Behavior at the Graduate School of Business
Current Research and Scholarly InterestsThe majority of my current research projects concern the sociology of science and research innovation. Here are some examples of projects we are pursuing:
1. the process of intellectual jurisdiction across fields and disciplines
2. the process of knowledge innovation and diffusion in science
3. the propagators of scientific careers and advance
4. the role of identity and diversity on the process of knowledge diffusion and career advance
5. the process of research translation across scientific fields and into practice
6. the formal properties and mechanisms of ideational change (network analysis, or holistic conceptions of scientific propositions and ideas)
7. developing methods for identifying the rediscovery of old ideas recast anew
8. investigating the process of scientific review
I am also heavily involved in research on social networks and social network theory development. Some of my work concerns relational dynamics and cognitive networks as represented in communication. This often concerns the communication of children (in their writings and speech in classrooms) and academic scholars.
Last, I am heavily involved in institutional efforts to develop computational social science, computational sociology, and education data science on Stanford's campus. -
Michael McFaul
Ken Olivier and Angela Nomellini Professor of International Studies, Senior Fellow at the Hoover Institution, at the Freeman Spogli Institute for International Studies and at the Woods Institute for the Environment
Current Research and Scholarly InterestsAmerican foreign policy, great power relations, comparative autocracies, and the relationship between democracy and development.
