This seminar will focus on differential equation transmission modeling approaches to analyze the spread of infections diseases, and how Prof. Eisenberg and her colleagues are using them to model the current COVID-19 outbreak in the State of Michigan.Their current model is helping to forecast the numbers of laboratory-confirmed cases, fatalities, hospitalized patients, and hospital capacity […]
Presented by Dr. David Levy, Dr. David Mendez, and Dr. Rafael Meza
Modeling the Economic Outlook in the Time of COVID-19
About Dr. Kang: Jian Kang is a Professor in the Department of Biostatistics and is a faculty member of the Kidney Epidemiology and Cost Center (KECC) at the University of Michigan. He received his PhD in Biostatistics from the University of Michigan in 2011. He was an Assistant Professor in the Department of Biostatistics and […]
This virtual symposium will bring together researchers from the State of Michigan to share their past and future insights into the pandemic.
Leveraging modeling hierarchies in the Exascale era: applications to combustion technologies
A closed-form mathematical framework for modeling turbulent fluids
Robust Training of Machine Learning Interatomic Potentials with Dimensionality Reduction and Stratified Sampling
CHGNet: pretrained universal interatomic potential to study electron coupled ionic systems
Efficient calculations of electronic structures with machine-learning models