Frederik Heetmeyer

I am an engineering graduate working as quantitative developer in Zurich.

I did my M.Sc. in Robotics, Systems and Control at ETH Zurich. I hold a B.Sc. in Engineering Science from the Technical University of Munich, from which I graduated with high distinction in April 2020.

I co-authored a paper during my graduation thesis at the UZH/ETH Institute of Neuroinformatics on optimization for systems control with a learned dynamics model, part of the learning to control project. We presented it at ICRA 2023 in May. My supervisor was Marcin Paluch. In summer 2021, I completed a semester project at the same lab.

From Jan 2022, I interned as a quantitative developer in Zurich for 4 months.

I wrote an undergraduate thesis on deep reinforcement learning for evolutionary computation at TUM Computer Vision Group. My supervisor was Vladimir Golkov.

I was a visiting student researcher at Stanford Computational Imaging Lab in summer quarter '18. There, I worked under supervision of Matthew O'Toole.

From June-August 2020, I interned as Junior AI Engineer at appliedAI.

Email  /  LinkedIn  /  GitHub

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Paper Links

IEEE unfortunately removed the following hyperlinks from our publication.


Quantitative Developer

LMR Partners
01/2023 - present

Quantitative Developer Intern

LMR Partners
01/2022 - 04/2022

Junior AI Engineer Intern

AppliedAI, UnternehmerTUM GmbH
06/2020 - 08/2020
Garching bei München


Conference paper

Heetmeyer, F., Paluch, M., Bolliger, D., Bolli, F., Deng, X., Filicicchia, E., Delbruck, T.: RPGD: A Small-Batch Parallel Gradient Descent Optimizer with Explorative Resampling for Nonlinear Model Predictive Control
2023 IEEE International Conference on Robotics and Automation (ICRA)

Graduation thesis

Small-Batch Gradient Optimizers for Stochastic Model Predictive Control
Institute of Neuroinformatics UZH/ETH Zurich
07/2022 - 12/2022

Semester project

Application of Model Predictive Path Integral Control with Recurrent Neural Network Architecture on the CartPole Environment
Institute of Neuroinformatics UZH/ETH Zurich
03/2021 - 07/2021

Undergraduate thesis

Deep Reinforcement Learning for Evolutionary Computation
Application of Soft Actor-Critic to train an evolutionary multi-parent recombination mechanism.
Policy formulation with normalizing flows.
Performance evaluation on select multi-objective optimization benchmarks.
TUM Computer Vision Group
10/2019 - 04/2020

Visiting student research intern

Volume rendering using OpenGL and GPU ray casting.
O’Toole, M., Lindell, D. & Wetzstein, G. Confocal non-line-of-sight imaging based on the light-cone transform. Nature 555, 338–341 (2018).
Stanford Computational Imaging Lab
06/2018 - 08/2018

Student research intern

Development on Robot Designer, part of Neurorobotics Platform.
Human Brain Project
TUM Chair of Robotics, Artificial Intelligence and Real-time Systems
03/2018 - 06/2018


M.Sc. Robotics, Systems and Control

Interdisciplinary graduate program at ETH Zürich
Focus on systems control and artificial intelligence
09/2020 - 12/2022

B.Sc. Engineering Science

Interdisciplinary engineering program at TU Munich
10/2016 - 04/2020

European School Brussels III

Multilingual primary and secondary school, German language section
2004 - 2016



Fluid and Structural Mechanics
Associate Professorship of Hydromechanics (TUM)
05/2019 - 07/2019


Engineering Mechanics II
Mechanics and High Performance Computing Group (TUM)
04/2018 - 06/2018


Engineering Mechanics I
Mechanics and High Performance Computing Group (TUM)
10/2017 - 02/2018



Entrepreneurial Scholarship Program
09/2018 - 03/2020

Max Weber-Programm

State-wide scholarship program sponsored by the Free State of Bavaria
Elite Network of Bavaria
04/2019 - present

TUM: Junge Akademie

Member of university’s scholarship program
Technical University Munich
11/ 2017 - 07/2019

Passion Projects

Coming soon: Crypto Tax Calculator

I am developing a FIFO-based accounting helper tool to determine tax obligations for German residents. Updates will be shared.

iOS Apps

When I was 15 to 17, I programmed and published a few simple apps under the brand Appvention on the iOS app store. They are not available anymore, but you can read a review of Memocolor, one of the apps, here.

Swiss Talent Forum 2016

I was invited to attend the Swiss Talent Forum 2016. We got matched up in groups to develop big data-driven ideas. You can view our final presentation about consent-based data sharing here.

Pre-University @ HULT

I took part in a pre-university program for incoming high school seniors in London in 2015. Gain an impression here.

Online resources I find useful
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I do not assume responsibility for the content of links on this page.

Forked from Jon Barron's website.