Lagerquist, Ryan

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

IDEvent NameDurationStart Date
Ryan Lagerquist-April 200 HoursApril 20, 2018
Ryan Lagerquist-March 312 DaysMarch 29, 2017