Stanford University
Showing 1-10 of 382 Results
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Tom Abel
Professor of Particle Physics and Astrophysics and of Physics
BioWhat were the first objects that formed in the Universe, what is it made of, how does it work? Prof. Abel's group explores all of cosmic history using ab initio supercomputer calculations. He has shown from first principles that the very first luminous objects are very massive stars and has developed novel numerical algorithms using adaptive-mesh-refinement simulations that capture over 14 orders of magnitude in length and time scales. He has shown how the first stars galaxies form and affect everything that follows later. He has been pioneering novel numerical algorithms to study collisionless fluids such as dark matter as well as astrophysical and terrestrial plasmas. He has designed bespoke summary statistics to have interpretable, robust, efficient, summary statistics to describe spatial clustering based on fast nearest neighbor searches. His recent work is on creating digital twins of astronomical objects and the Universe as a whole in the context of the Center for Decoding the Universe. This Center leverages advances in machine learning and artificial intelligence to make sense of our Universe. He was the director of the Kavli Institute for Particle Astrophysics and Cosmology and Division Director at SLAC 2013-2018.
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Steven Allen
Professor of Physics and of Particle Physics and Astrophysics
Current Research and Scholarly InterestsObservational astrophysics and cosmology; galaxies, galaxy clusters, dark matter and dark energy; applications of statistical methods; X-ray astronomy; X-ray detector development; optical astronomy; mm-wave astronomy; radio astronomy; gravitational lensing.
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David Armenta
Lecturer, Biology
BioDavid Armenta is a Lecturer in the Department of Biology. He earned his bachelor's degree in molecular and cellular biology from Harvard University. Working as an undergraduate intern in the lab of Andrew Murray, he studied mechanisms underlying evolution and adaptation in budding yeast. Next, he earned his PhD in Biology (cells, molecules, and organisms track) from Stanford University, working with Scott Dixon to study how amino acid metabolism regulates sensitivity of cancer cells to the nonapoptotic cell death mechanism of ferroptosis. Next, he taught for 3 years as a Lecturer in the the Civic, Liberal, and Global Education (COLLEGE) program. Now, he is excited to be teaching with the Biology Department!
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Michael Baiocchi
Associate Professor of Epidemiology and Population Health and, by courtesy, of Statistics and of Medicine (Stanford Prevention Research Center)
BioProfessor Baiocchi is a PhD statistician in Stanford University's Epidemiology and Population Health Department. He thinks a lot about behavioral interventions and how to rigorously evaluate if and how they work. Methodologically, his work focuses on creating statistically rigorous methods for causal inference that are transparent and easy to critique. He designed -- and was the principle investigator for -- two large randomized studies of interventions to prevent sexual assault in the settlements of Nairobi, Kenya.
Professor Baiocchi is an interventional statistician (i.e., grounded in both the creation and evaluation of interventions). The unifying idea in his research is that he brings rigorous, quantitative approaches to bear upon messy, real-world questions to better people's lives.
