About me
My name is Jan Malte Lichtenberg and I'm an applied machine learning scientist at Amazon Music ML in Berlin, where I work on the fascinating topic of personalizing music recommendations. More specifically, I work on offline policy evaluation and learning how to rank items from different content types.
Previously I completed my PhD at the University of Bath, working on bounded rationality in reinforcement learning with Özgür Şimşek. Before that I worked at the Center for Adaptive Behaviour and Cognition, directed by Gerd Gigerenzer, at the Max-Planck Insitute for Human Development in Berlin.
In my research, I try to inform machine learning models with insights from human decision making research, in particular from the study of simple decision heuristics. Have a look at my Google Scholar profile, my github, or my (outdated) CV.
You can email me at maltelichtenberg ~at~ gmail.com
Publications
Jan Malte Lichtenberg
University of Bath, UK, 2023 [pdf]
via Quasi-Monte Carlo Sampling
Alexander Buchholz, Jan Malte Lichtenberg, Giuseppe Di Benedetto, Yannik Stein, Vito Bellini, and Matteo Ruffini
SIGIR 2022 Workshop on Reaching Efficiency in Neural Information Retrieval, 2022 [pdf]
Reinforcement Learning
Jan Malte Lichtenberg and Özgür Şimşek
NeurIPS workshop on Biological and Artificial Reinforcement Learning, 2019 [pdf]
Jan Malte Lichtenberg and Özgür Şimşek
Imperfect Decision Makers: Admitting Real-World Rationality, PMLR, 2017 [pdf]
About this website
This website is made using gatsby.js and react.js. It is hosted on netlify.com. Sidenotes and marginnotes use tufte-css. All visualisations are made using p5.js. Help from Corey Gouker in making p5.js and gatsby.js work well together is much appreciated.