Stanford University
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Anthony Kovscek
Keleen and Carlton Beal Professor of Petroleum Engineering and Senior Fellow at the Precourt Institute for Energy
Current Research and Scholarly InterestsResearch
Together with my research group, I develop and apply advanced imaging techniques, experimentation, and models to understand complex multiphase flows of gas, water, and organic phases in natural and manufactured porous media with applications in carbon storage, increased utilization of carbon dioxide for subsurface applications, hydrogen storage, and water reuse. In all of our work, physical observations, obtained mainly from laboratory and field measurements, are interwoven with theory.
Teaching
My teaching interests center broadly around education of students to meet the energy challenges that we will face this century. I teach undergraduate courses that examine the interplay of energy use and environmental issues including renewable energy resources and sustainability. At the graduate level, I offer classes on renewable energy processes based on heat and the thermodynamics of hydrocarbon mixtures.
Professional Activities
Member, American Geophysical Union, Society of Petroleum Engineers, and the American Chemical Society. -
Izabela Kowalczyk
Postdoctoral Scholar, Developmental Biology
BioDr. Izabela Kowalczyk is a postdoctoral fellow in the laboratory of Dr. Sarah Bowling, Department of Developmental Biology. She is studying embryonic development, with a focus on heart valve formation and the influence of the maternal environment on this process. Dr. Kowalczyk completed her Ph.D. at the Max-Delbrück-Center for Molecular Medicine in Berlin, under the supervision of Dr. Annette Hammes, where she investigated cell and tissue morphogenesis during early forebrain development. Her work identified novel components of Sonic Hedgehog (SHH) signaling and primary cilia biology, providing new insights into the variable penetrance of holoprosencephaly in mouse models.
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Sanmi Koyejo
Assistant Professor of Computer Science
BioSanmi Koyejo is an Assistant Professor in the Department of Computer Science at Stanford University and an adjunct Associate Professor at the University of Illinois at Urbana-Champaign. He leads the Stanford Trustworthy AI Research (STAIR) lab, which develops measurement-theoretic foundations for trustworthy AI systems, spanning AI evaluation science, algorithmic accountability, and privacy-preserving machine learning, with applications to healthcare and scientific discovery. His research on AI capabilities evaluation has challenged conventional understanding in the field, including work on measurement frameworks cited in the 2024 Economic Report of the President.
Koyejo has received the Presidential Early Career Award for Scientists and Engineers (PECASE), Skip Ellis Early Career Award, Alfred P. Sloan Research Fellowship, NSF CAREER Award, and multiple outstanding paper awards at flagship venues, including NeurIPS and ACL. He has delivered keynote presentations at major conferences, including ECCV and FAccT. He serves in key leadership roles, including Board President of Black in AI, Board of Directors of the Neural Information Processing Systems Foundation, and other leadership positions in professional organizations advancing AI research and broadening participation in the field.
