Hey, I am Jonas!

My goal is to improve people’s lives by building more intelligent machines. I am currently pursuing a PhD in machine learning at the University of Tübingen and the Max Planck Research School for Intelligent Systems, with an expected graduation in 2020 🎓.

Feel free to reach out via email if you any questions or proposals. I am also open to talk about future job opportunities 🚀.

Interests

  • 🤖  Machine Learning and AI
  • 🚀  Entrepreneurship and Startups
  • 🚵‍♂️  Cycling and Gravel Bikes
  • 📷  Photography
  • 🌍  Green Economy
  • 📜  Constitutional Law
  • 🎧  Podcasts

Education

  • PhD Student in Machine Learning, since 2016

    University of Tübingen

  • MSc in Neural Information Processing, 2016

    University of Tübingen

  • BSc in Computer Science, 2014

    Karlsruhe Institute of Technology

Experience

 
 
 
 
 

Machine Learning Engineer

Layer7 AI

Nov 2019 – Dec 2019 Tübingen, Germany
 
 
 
 
 

Machine Learning Research Intern

Apple Inc.

May 2019 – Sep 2019 Seattle, US
Health AI team, working with Leon Gatys and Emily Fox
 
 
 
 
 

Researcher & PhD Student

University of Tübingen

Nov 2016 – Present Tübingen, Germany
I am currently persuing a PhD in machine learning, working in the Perceiving Neural Networks Group led by Prof. Matthias Bethge. My research focuses on understanding and improving the robustness of deep neural networks.
 
 
 
 
 

Machine Learning Research Intern

Max Planck Institute for Intelligent Systems

Oct 2015 – Dec 2015 Tübingen, Germany
Probabilistic Numerics Group, led by Prof. Philipp Hennig
 
 
 
 
 

Research Assistant

University of Tübingen

Feb 2015 – Sep 2016 Tübingen, Germany
Perceiving Neural Networks Group, led by Prof. Matthias Bethge
 
 
 
 
 

Research Assistant

Karlsruhe Institute of Technology

Apr 2014 – Sep 2014 Karlsruhe, Germany
In summer 2014, I wrote my Bachelor thesis in the High Performance Humanoid Technologies Lab led by Prof. Tamim Asfour on Learning Tool Use on the Humanoid Robot ARMAR-III using Kinematic Bézier Maps.
 
 
 
 
 

Research Assistant

Karlsruhe Institute of Technology

Aug 2013 – Apr 2014 Karlsruhe, Germany
I worked in the Cognitive Systems Lab on a research project on silent speech recognition using EMG data (electromyography).
 
 
 
 
 

Software Developer

Freelancer

Aug 2002 – May 2011 Oberwolfach, Germany

Some examples of what I’ve built in my early years as a developer:

  • a flashcards web app for myself, that I later sold to a special school for children with physical disabilities,
  • a custom in-house information management system for a small company, and
  • a timetable management system for a school.

Projects

Open Source Projects, Robots, Politics, Prototypes, and more

arXiv + Bear.app

With this bookmarklet, the awesome Bear.app can be used a reference manager for arXiv papers.

EagerPy

EagerPy is an open source Python framework that lets you write beautiful code that automatically works natively with PyTorch, TensorFlow, JAX, and NumPy.

Foolbox

A state-of-the-art open source adversarial attacks toolbox to fool neural networks (1.5k stars).

Deep Art Glasses

AR smart glasses to view the world live in real-time in the style of any artist. Makes the world a more beautiful place.

ARMAR-III Tool Use

Learning Tool Use on the Humanoid Robot ARMAR-III using Kinematic Bézier Maps

Grüne Jugend Ortenau

In 2010, I was one of the initiators and co-founders of the Grüne Jugend Ortenau, the political youth organization of the the Green party in the Ortenaukreis.

Käfer Soccer Robot

Käfer was our autonomous soccer robot built using LEGO for the 2005 and 2007 autonomous robot soccer competition at Offenburg University.

Recent Talks

Talks, Workshops, Presentations

Making Machine Learning Robust Against Adversarial Inputs

I presented my latest research results at the annual meeting of the Bosch Research Foundation.

How to evaluate adversarial robustness?

We tought an interactive workshop on evaluating adversarial robustness at the 1st Tübingen Robust Learning Symposium.

How to evaluate adversarial robustness?

I tought an interactive workshop on evaluating adversarial robustness at the Deep Learning and Inverse Problems Autumn School in Bremen.

Modeling patterns of smartphone usage and their relationship to cognitive health

Presented my intership work at an internal Apple Machine Learning Research Symposium

Making Machine Learning Robust Against Adversarial Inputs

I presented my latest research results at the annual meeting of the Bosch Research Foundation.

Linear Region Attack

I presented our work on a new type of geometric adversarial attack in the Schölkopf group at the Max Planck Institute for Intelligent Systems

Towards Robust Neural Networks

I presented my latest research results at the annual meeting of the Bosch Research Foundation.

TensorFlow Workshop for Computational Neuroscientists

We gave an interactive tutorial on TensorFlow targeted at compututational neuroscientists.

Foolbox: A Python toolbox to benchmark the robustness of machine learning models.

I presented our work on Foolbox and the Robust Vision Benchmark in the Reliable Machine Learning in the Wild workshop at ICML 2017 in Sydney.

Probabilistic Line Searches

Line searches for noisy functions