Summer Hangouts: Phil Gressmen, Junhyong Kim, and Ann Sizemore
Simulating COVID-19 in a University Environment; How do we track where COVID-19 virus comes from? Estimating genealogies from DNA sequences; Data visualization
Phil Gressmen, Junhyong Kim, and Ann Sizemore
Share your research experience with other undergrads, discuss our faculty talks, and more!
- Simulating COVID-19 in a University Environment: Phil Gressmen (Math)
- How do we track where COVID-19 virus comes from? Estimating genealogies from DNA sequences: Junhyong Kim (Biology)
- Tutorial: Data visualization - Ann Sizemore (Complex Systems Lab)
The summer 2020 hangout is intended for undergraduate students whose summer research involves quantitative analysis of datasets, including variants of machine learning. The research project could be in the humanities, social sciences or natural sciences. As part of SAS’s initiative in data science, we have set up a resource that we hope will be interactive and stimulating for you.
Typically there will be talks from 1-2pm, and tutorials on the basics of data science from 3-4pm. We can help set up other activities such as student talks and hack sessions on topics like data visualization and machine learning tools.