A virtual one day event! Basic introductory sessions to Machine Learning, two plenary lectures, oral presentations and round table.
Date: February 18, 2021
Time: 8:30 am – 4:30 pm
Location: Zoom conference (link will be shared upon registration)
Facilitators: Laura Ibañez and Victoria Fernandez (WashU Psychiatry)
Supported by the Chan Zuckerberg Initiative, the Office of Neuroscience Research, the Neurogenomics and Informatics Center, the McDonnell Genome Institute, the Department of Genetics and the WashU Postdoc Society (WUPS).
February 18, 2021 – Schedule
8.30 – 9:00 am
Welcome!
9:00 – 10:00 am
Dr. Noah Simon (University of Washington)
“Introduction to Machine Learning”
10:00 – 11:00 am
Dr. Justin Miller (Brigham Young University)
“Types of ML: Supervised”
11:00 – 11.45 am
Dr. James Zou (Stanford University)
“Effective use of ML in Genetic Data”
11.45 am – 12.30 pm
Dr. Shuangge Ma (Yale University)
“Multi–omic Data Integration, Implications for the Medical Field”
12.30 – 1:00 pm
Lunch break
1:00 – 2:00 pm
Dr. Justin Miller (Brigham Young University)
“Types of ML: Unsupervised”
2:00 – 3:00 pm
Abstract Presentations
3:00 – 4:00 pm
Round Table
4:00 – 4.30 pm
Prizes and Final Remarks
