I am a machine learning researcher, engineer and consultant with experiences in Bayesian deep learning, information theory, equivariant group convolutions and natural language processing.
In parallel, I am finishing my MSc in Artificial Intelligence at the University of Amsterdam during which I did research on \( SO(3) \)-equivariant convolutions for spherical signals together with Taco Cohen in the group of Max Welling.
Before I graduated with a BSc in Applied Computer Science at the Bauhaus-University Weimar, where I worked as a research assistant on natural language processing, argumentation mining and information retrieval in the Webis group.
Prior to that I spent some time to study mathematics + physics (3y), economics + political science (1y) and new media art (sound/interfaces/visualization, 2y).
Currently, I work as a freelance machine learning engineer. Recently, I was helping Merantix as a machine learning consultant for optimizing industrial processes.
I co-founded the machine learning research engineering company Amsterdam Machine Intelligence (dissolved) during my master studies, which designed and engineered algorithms and models for startups and local municipalities.
Prior to that I worked as a software engineer intern for Betterspace in Kassel on machine learning algorithms for energy peak load prediction and a reactive microservice system for a distributed network of sensors and actors in the smart building context.
During my undergraduate studies I worked as a part-time software engineer for kuzo-media in Weimar on e-commerce systems for small to large sized companies in Thuringia.
Furthermore, I worked on many freelance and small scale projects, ranging from algorithmic market modeling for short-term energy positions traded at the EEX, over software engineering for media technology companies, to creative technology projects in collaboration with artists and designers.
Taco S Cohen*, Mario Geiger*, Jonas Köhler*, Max Welling. (* equal contribution)
International Conference on Learning Representations (ICLR). Vancouver, Canada. April, 2018.
Best paper award.
Taco S Cohen, Mario Geiger, Jonas Köhler, Max Welling
Convolutional Networks for Spherical Signals.
In Proceedings of the 1st Workshop on Principled Approaches to Deep Learning at the International Conference on Machine Learning (ICML PADL). Sydney, Australia. August, 2017.
Khalid Al-Khatib, Henning Wachsmuth, Matthias Hagen, Jonas Köhler, Benno Stein
Cross-Domain Mining of Argumentative Text through Distant Supervision.
In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT). June, 2016.