Phillip Swazinna

  • Joined May 2022

Names

Phillip Swazinna (Preferred)

Emails

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

Personal Links

Career & Education History

PhD student
Department of Informatics, Technische Universität München (in.tum.de)
2019 – 2023
 
PhD student
Siemens Corporate Research (siemens.com)
2019 – 2023
 
MS student
Department of Informatics, Technische Universität München (in.tum.de)
2016 – 2018
 
Undergrad student
Technische Universität Dortmund (tu-dortmund.de)
2013 – 2016
 

Advisors, Relations & Conflicts

PhD Advisor
2019 – 2023
 
PhD Advisor
2019 – 2023
 

Expertise

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