Education
University of Tuebingen & MPI-IS
PhD candidate in Computer Science, advised by Georg Martius.
PhD candidate in Computer Science, advised by Georg Martius.
Nov 2023 -
KTH Stockholm
MSc in Computer Science, focused on Robotics and Deep Learning
MSc in Computer Science, focused on Robotics and Deep Learning
Fall 2018 - Spring 2021
RWTH Aachen University
MSc in Electrical Engineering, Information Technology, and Computer Engineering, focused on Control Theory. Thesis advised by Michael Muehlebach and Sebastian Trimpe.
MSc in Electrical Engineering, Information Technology, and Computer Engineering, focused on Control Theory. Thesis advised by Michael Muehlebach and Sebastian Trimpe.
Fall 2018 - Spring 2021
RWTH Aachen University
B.S. in Electrical Engineering, Information Technology, and Computer Engineering, advised by Ehsan Zandi.
B.S. in Electrical Engineering, Information Technology, and Computer Engineering, advised by Ehsan Zandi.
Fall 2015 - Spring 2018
Employment
AL, University of Tübingen & MPI-IS
PhD Candidate in the Autonomous Learning Group under Georg Martius.
PhD Candidate in the Autonomous Learning Group under Georg Martius.
Nov 2023 - Present
Tübingen, Germany
Tübingen, Germany
EV, MPI-IS
Researcher in the Embodied Vision Group. Worked on differentiable physics simulation for rigid bodies to perform simultaneous system identification and control for robot manipulators.
Researcher in the Embodied Vision Group. Worked on differentiable physics simulation for rigid bodies to perform simultaneous system identification and control for robot manipulators.
Aug 2021 - Feb 2022
Tübingen, Germany
Tübingen, Germany
LDS, MPI-IS
MSc. Thesis in the Learning and Dynamical Systems Group under Michael Muehlebach. Used Iterative Learning Control to teach robots how to juggle.
MSc. Thesis in the Learning and Dynamical Systems Group under Michael Muehlebach. Used Iterative Learning Control to teach robots how to juggle.
Aug 2021 - Feb 2022
Tübingen, Germany
Tübingen, Germany
i6, RWTH Aachen University
As a student researcher in the Human Language Technology and Pattern Recognition Group under Albert Zeyer, I worked on end-to-end automatic speech recognition systems using Transducer models. Focused on improving external LLM fusion and related training strategies.
As a student researcher in the Human Language Technology and Pattern Recognition Group under Albert Zeyer, I worked on end-to-end automatic speech recognition systems using Transducer models. Focused on improving external LLM fusion and related training strategies.
Jan 2021 - Jul 2021
Aachen, Germany
Aachen, Germany
IAV Automotive Engineering
As an intern in the Perception Group, designed and implemented a platform-independent sensor fusion library in C++.
As an intern in the Perception Group, designed and implemented a platform-independent sensor fusion library in C++.
Jul 2020 - Dec 2020
Dresden, Germany
Dresden, Germany
WZL, RWTH Aachen University
At WZL, worked alongside an industry project to develop smart ticket barriers to prevent fare evasion. Contributed to driver development, real-time sensor visualization, sensor integration in AWS Greengrass, and porting human tracking algorithms to ROS.
At WZL, worked alongside an industry project to develop smart ticket barriers to prevent fare evasion. Contributed to driver development, real-time sensor visualization, sensor integration in AWS Greengrass, and porting human tracking algorithms to ROS.
Jan 2019 - Jul 2019
Aachen, Germany
Aachen, Germany
Indurad
Worked in the IT department, developing VPN solutions and creating debugging software for automatic equipment maintenance across various sites.
Worked in the IT department, developing VPN solutions and creating debugging software for automatic equipment maintenance across various sites.
Jun 2018 - Dec 2018
Aachen, Germany
Aachen, Germany
Publications
Learning 3D-Gaussian Simulators from RGB Videos
Train simulators from multi-view videos by leveraging a 3DGS particle set for state representation and maintaining an inductive-bias-free dynamic model using the TEM-PTV3 transformer architecture.
Arxiv, 2025
Learning with 3D rotations, a hitchhiker’s guide to SO(3)
Guidance on selecting the right rotation representations on deep learning models.
ICML, 2024