
Lagerquist, Ryan
Ph.D. Student
Education
- B.Sc. Honours in Atmospheric Sciences, University of Alberta, 2014
- M.Sc. in Meteorology, University of Oklahoma, 2016
Advisor:
Amy McGovern
Research group:
IDEA Lab
Research interests:
- Using machine learning, especially deep learning, to improve prediction and understanding of extreme weather
- Convective meteorology
- Damaging straight-line wind
- Tornadoes
- Fire weather
Website:
https://github.com/thunderhoser/
Online research profile:
ResearcherID
Courses where Ryan served as a graduate teaching assistant:
- CS 4033/5033, Machine Learning, Fall 2015
- CS 4013/5013, Artificial Intelligence, Spring 2016
- CS 4033/5033, Machine Learning, Fall 2016
- CS 4013/5013, Artificial Intelligence, Spring 2017
- CS 4033/5033, Machine Learning, Fall 2017
- CS 4013/5013, Artificial Intelligence, Spring 2018
- CS 4033/5033, Machine Learning, Fall 2018
- CS 4013/5013, Artificial Intelligence, Spring 2019
Events
ID | Event Name | Duration | Start Date |
---|---|---|---|
Ryan Lagerquist-April 20 | 0 Hours | April 20, 2018 | |
Ryan Lagerquist-March 31 | 2 Days | March 29, 2017 |