Stanford University
Showing 20,221-20,240 of 34,491 Results
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Liang Min
Managing Director Bits & Watts Initiative, Precourt Institute for Energy
Current Role at StanfordManaging Director for the Bits and Watts Initiative, Precourt Institute for Energy
Managing Director for the Net-Zero Alliance, Stanford Doerr School of Sustainability -
Yan Mia Min
Postdoctoral Scholar, Cardiothoracic Surgery
BioYan Mia Min is currently a Ph.D. candidate in Epidemiology and Population Health and a Stanford Data Science Scholar. Her background is in medicine and health economics. She completed her residency in general surgery. She just completed her Master's in Statistics in the summer of 2022.
Yan has worked as a health policy analyst in the health finance cluster at the World Health Organization in Geneva. She also took a leadership role in establishing the WELL Living Laboratory Cohort at the Stanford Prevention Research Center.
Yan’s current research is focused on rigorous causal inference theories and modeling in large-scale observational settings, with particular applications in cardiothoracic surgeries, where randomization is often unavailable. Her training in epidemiology makes her share a strong sense of integrity in research conduct. Along with her teammates, Yan is writing an e-book, Open, Rigorous and Reproducible Science: A Practitioner’s Manual, to address the following three phases of scientific research: design, analysis, and publication. -
Viktor Stanislavov Minchev
Affiliate, Genetics
BioResearch Software Engineer at StudySync
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Robert Mindelzun
Professor of Radiology at the Stanford University Medical Center, Emeritus
Current Research and Scholarly InterestsAbdominal imaging,
Anatomy.
Mesenteries,
Peritoneum,
Omentum,
Pancreatic anatomy
Embryology.
Third World diseases.
Abdominal trauma. -
Stefano Mingolla
Affiliate, Central Mgmt-Misc AR
BioStefano Mingolla is a Postdoctoral Research Fellow at Carnegie Institution for Science at Stanford University. His research leverages interdisciplinary modeling and simulation to explore trade-offs, unintended consequences, and bottlenecks in large-scale technology deployment and policy interventions. By integrating insights from environmental science, engineering, data science, economics, and policy, Stefano develops data-driven frameworks that support industry leaders and policymakers in navigating uncertainty, optimizing strategies, and accelerating the transition to a sustainable energy future.
His recent work investigates pathways to achieve a net-zero and resilient agriculture system, with a particular focus on the techno-economic potential and impacts on the water-energy-land nexus of small-scale distributed ammonia production. His research methodology includes macro-scale energy system modeling and optimization, geospatial analysis, and machine learning.
Stefano holds a Ph.D. in Environmental Science, Policy, and Management from the Hong Kong University of Science and Technology and has been a Visiting Research Scholar at ETH Zurich.
