Ph.D. in Scientific Computing Student Seminars
Ph.D. in Scientific Computing Student Seminars
Preet Baxi (Physics): Monitoring the fidelity of the LIGO detectors
Anthony Chen (Math): Fast Summation for Geophysical Fluid Dynamics
Preet Baxi (Physics): Monitoring the fidelity of the LIGO detectors
Anthony Chen (Math): Fast Summation for Geophysical Fluid Dynamics
Learn about academic opportunities and fellowships for graduate students who combine Scientific Computing with Applied Physics, Astronomy, Biophysics, Chemistry, Earth and Environmental Sciences, Math, Physics, or any other physical science. This session will be offered in-person and on Zoom. Please indicate how you plan to attend when you register. Register to attend
Learn about academic opportunities and fellowships for graduate students who combine Scientific Computing with Biology, Kinesiology, Medicine, Pharmacy, Public Health, or any other biological or health-related science. This session will be offered in-person and on Zoom. Please indicate how you plan to attend when you register. Register to attend
Sahil Bhola (Aerospace Engineering): Rounding uncertainity analysis for floating-point statistical models
Martin Macias Medellin (Political Science): Homogenous Cities? How Conflict and Politics Shape the Urban Topography
Volker Springel, Professor, Max Planck Institute for Astrophysics & Ludwig Maximilian University of Munich, Germany
"Simulated Universes: Origin and Fate of Our Milky Way"
Xin Zhang (Environmental Health Sciences): Temporal relationship between acute noise exposure and heart rate variability change
Jesus Castor (Biomedical Engineering): Engineering The Immune Response To Improve Muscle Regeneration
Zach Croft (Applied Physics): Applied Physics and Scientific Computing
Cassie Turner (Health Infrastructures & Learning Systems): Using weighting-based causal mediation analysis to calculate counterfactual disparity measures for access to weight management treatments
Statistical learning for Summary Statistics of Physics-based Model Outputs and their Correction and Probabilistic Outputs from Neural Networks applied to Super-resolution