School of Humanities and Sciences
Showing 1-10 of 1,270 Results
-
Emilius Aalto
Postdoctoral Research Fellow, Hopkins Marine Station
Current Research and Scholarly InterestsMy primary research interest is theoretical fisheries ecology, with a focus on population dynamics, spatial dynamics, and response to disease and catastrophic events. My current work involves the incorporation of the effects of ocean acidification and low-oxygen events into an abalone growth and reproduction model. Past projects include modeling indirect positive effects from fishing-induced competitive release and the effects of size-specific obligate predation on post-harvest recovery time.
-
Tom Abel
Professor of Particle Physics and Astrophysics and of Physics
BioWhat were the first objects that formed in the Universe? Prof. Abel's group explores the first billion years 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 currently continues his work on the first stars and first galaxies and their role in chemical enrichment and cosmological reionization. His group studies any of the first objects to form in the universe: first stars, first supernovae, first HII regions, first magnetic fields, first heavy elements, and so on. Most recently he is pioneering novel numerical algorithms to study collisionless fluids such as dark matter which makes up most of the mass in the Universe as well as astrophysical and terrestrial plasmas. He was the director of the Kavli Institute for Particle Astrophysics and Cosmology and Division Director at SLAC 2013-2018.
-
Vibhu Agarwal
Ph.D. Student in Biomedical Informatics, admitted Autumn 2015
Ph.D. Minor, StatisticsCurrent Research and Scholarly InterestsMining patterns in routine physical activity that correlate with medical outcomes; Statistical methods for phenotyping from Electronic Health Records; Web search-log mining
