Postdocs:
Dr. Randall Clark
(UCSD, CER)
With a background in computational physics and machine learning Dr. Clark's research focuses on the development and deployment of both reinforcement learning based shaped controllers and machine learning based plasma state classifiers.
Graduate students:
Sidney Williams
(UCSD, Physics)
A Physics PhD candidate in the Orlov Lab, Sidney’s research focuses on the Power Scrape-Off Layer width. He utilizes techniques from mathematical physics, chaos theory, turbulence theory, large scale simulation, and experimental data analysis to explore novel techniques for divertor heat load management.
Vasilii Khavin
(UCSD, MAE)
Sean Lyons
(UCSD, MAE)
Undergraduate students:
(Contact me for open research positions)
Undergraduate students:
Sam H. Nogami (U of West Virginia)
Natalie Kot (U of Michigan)
Evan Bursch (U of Notre Dame, now at Columbia U, Applied Physics)
Jason Escalera (UCSD, MAE)
Hadith Taheri (UCSD, MAE)
Caitlin Villareal (UCSD, MAE)
Daniel Zubovic (UCSD, MAE)
Zachary Yam (UCSD, Chem Eng, now at UCSB, Chem Eng)
Mark Prince (Luther College, now at Auburn, Physics)
Graduate students:
Michael O. Hanson (M.S. 2022, now at CFS)
Joshua Abbatiello (U of South Florida)
Jinyoung Heo (UNIST, KSTAR)
Evdokiya G. Kostadinova (Auburn University)
Eric Howell (Fiat Lux)
Christopher Holland (UC San Diego)
Georgy Subbotin (Next Step Fusion)
Alexei Zhurba (Next Step Fusion)
Maxim Nurgaliev (Next Step Fusion)
Jong-Kyu Park (Seoul National University, Korea)
Joseph Snipes (PPPL)
Nic Logan (Columbia U)
Zhihong Lin (UC Irvine)
Javier Nicolau (SDSC)
Ben Zhu (LLNL)
Igor Bykov (General Atomics)
Dmitri L. Rudakov (UC San Diego)
Roman Smirnov (UC San Diego)
Christopher A. Mehta (US Coast Guard Academy)
Maziar Ghazinejad (UCSD, MAE)