Thermodynamically rational decision making under uncertainty
Daimer, D. & Still, S. (2023). Thermodynamically rational decision making under uncertainty. arXiv preprint arXiv:2309.10476.
CV
Education
- Ph.D. in Physics, University of Hawai’i at Manoa, expected 2024
- M.Sc. in Physics (with Distinction), Imperial College London, 2016
- B.Sc. in Physics, Humboldt Universität zu Berlin, 2015
Work experience
- August 2022 - July 2023: Research Assistant
- University of Hawai’i at Manoa
- Duties include: Working on the grant Maxwell’s demon in the real world: Experiments on the constraints governing information processing. Analysing partially observable information engines and working on their experimental implementation.
- Supervisor: Dr. Susanne Still
- January 2021 - July 2021: Research Assistant
- University of Hawai’i at Manoa
- Duties include: Performing research on partially observable information engines and their generalization to quantum systems. Assisting with writing publications and creating visualizations. Implement numerical models to optimize data representation strategies in a partially observable Szilard Engine.
- Supervisor: Dr. Susanne Still
- October 2019 - March 2020: Research Assistant
- Universität Osnabrück
- Duties included: Constructing an affordance data base, scraping ImageNet, leveraging WordNet and visualizations of the results, creation of an online tool to generate data sets
- Supervisor: Ashima Keshava
- July 2019 - September 2019: Extreme Blue Intern
- IBM
- Duties included: Developing a smart assistant software for medical claim handlers, using NLP to extract events from text, setting up a Flask web application
- Supervisor: Paul Rinckens
- December 2016 - August 2017: Student Intern
- Lufthansa Systems
- Duties included: Developing a prototype for dynamical pricing of airline seats, model comparison and evaluation, hosting workshops, feature extraction from data
- Supervisor: Kurt Schröder
Publications
The physical observer in a Szilard engine with uncertainty
Daimer, D. & Still, S. (2023). The physical observer in a Szilard engine with uncertainty. arXiv preprint arXiv:2309.10580.
Partially Observable Szilard Engines
Still, S., & Daimer, D. (2022). Partially Observable Szilard Engines. New J. Phys. 24 073031.
Talks
Observable partitioning under uncertainty in information engines with physically implemented observer memories
Poster Presentation at APS March Meeting, Las Vegas, Nevada
Teaching
Service
- Graduate Student Representative for the Department of Physics & Astronomy at the University of Hawaii at Manoa (since March 2023)