Philipp Hummel M.Sc.
Psychologie der Informationsverarbeitung
Philipp Hummel was a PhD student in the lab 09/21 – 05/23.
Despite its remarkable successes, deep learning still falls way short of a lot of human capabilities in terms of e.g. general-purpose problem solving, across-domain generalization, data efficiency, flexibly working with different levels of abstraction, etc. To make progress on these frontiers, I'm thinking about how to solve tasks involving higher cognition such as Bongard Problems () and tasks from the Abstraction and Reasoning Corpus ( https://en.wikipedia.org/wiki/Bongard_problem (wird in neuem Tab geöffnet)) with (probabilistic) program induction. https://arxiv.org/pdf/1911.01547.pdf
On another path I'm interested in uncovering the concepts and features that humans use more efficiently with the help of machine learning methods. This might be particularly useful for settings where we want to guide a learning model to use human-relevant instead of confounding features.
I am jointly supervised by Constantin Rothkopf and Frank Jäkel and funded by the KompAKI project. Before starting my PhD at TU Darmstadt, I studied Cognitive Science in Osnabrück and Neural Information Processing in Tübingen.
DAAD RISE Internship,
Kurt Haas’ Laboratory at University of British Columbia,
Tutor for Mathematics for Natural Sciences II,
University of Osnabrück, Germany
Lecturer for one-week block-course on Bayesian Statistics,
University of Osnabrück, German
|2016 – 2019||
Data Scientist (intern, bachelor thesis, part-time work),
PSIORI GmbH, Freiburg, Germany
|Summer 2010||„Early Studies“ in Physics, University of Würzburg|
|2013-2017||B.Sc. Cognitive Science, University of Osnabrück|
|2017-2021||M.Sc. Neural Information Processing, University of Tübingen|
Publications & Conferences
Publication: A Textual Recommender System for Clinical Data in
the Proceedings of International Conference on Case-Based Reasoning
Invited Speaker for Bayesian Statistics Workshop at the International Interdisciplinary Computational Cognitive Science Spring
Co-Organizer of the International Interdisciplinary Computational
Cognitive Science Summer School 2021 (Online Event)
Awards & Stipends
|2012||E-Follows stipend for excellent achievements in Physics A-levels|
|2016||Second Place at Cognitive Computing Hackathon of Uni Osnabrück and IBM|
|2018–2019||Placed on the Dean’s List of the Graduate Training Centre of Neurosciences, Tübingen|
|2018–2019||Deutschlandstipendium (Joint public-private Stipend)|
|2019–2020||SmartStart in Computational Neuroscience Stipend|