Phillip Swazinna

  • Joined May 2022

Names

Phillip Swazinna (Preferred)

Emails

****@in.tum.de (Confirmed)
,
****@siemens.com (Confirmed)

Education & Career History

PhD student
Department of Informatics, Technische Universität München (in.tum.de)
20192023
 
PhD student
Siemens Corporate Research (siemens.com)
20192023
 
MS student
Department of Informatics, Technische Universität München (in.tum.de)
20162018
 
Undergrad student
Technische Universität Dortmund (tu-dortmund.de)
20132016
 

Advisors, Relations & Conflicts

PhD Advisor
20192023
 
PhD Advisor
20192023
 

Expertise

Offline Reinforcement Learning
Present
 
Reinforcement Learning
Present
 
Medical Machine Learning
Present
 
World Models
Present