Nathan Lawrence

Nathan Lawrence.md
Nathan Lawrence

Nathan is a PhD student in applied mathematics at UBC. Prior to moving to Vancouver, he earned his Bachelor's and Master's degrees in mathematics at Portland State University. He is interested in the interplay between reinforcement learning and control. More specifically, his work aims to develop actionable methods based on deep reinforcement learning for maintenance-free PID control and MPC of industrial processes. Outside of research, he enjoys boardgames and ice skating.



📚 Program/Degree
PhD, since 2018
📝 Research
Deep Reinforcement Learning Algorithms for Maintenance-free Control in Industrial Applications
👥 Co-supervisor(s)
Philip Loewen (Math)
📨 Contact
Lawrence@math.ubc.ca

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Highlights - 09 February 2022
The Banff International Research Station will host the *Climate Change Scenarios and Financial Risk* Online workshop at the UBC Okanagan campus in Kelowna, BC, from May 1 to May 6, 2022
LINK

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