About
I am a postdoctoral researcher in Prof. Melanie Zeilinger’s group at ETH Zurich. I received my PhD from the Center for Learning Systems doctoral program, where I was jointly affiliated with the Max Planck Institute for Intelligent Systems (MPI-IS) and ETH Zurich, advised by Dr. Michael Muehlebach and Prof. Melanie Zeilinger.
My research focuses on embodied intelligence, with the goal of enabling robots to achieve autonomous learning in the real world. I believe this cannot be achieved through a single approach, but instead calls for a system-level perspective that brings together adaptive control, safety-aware planning, and on-device intelligence. I approach these challenges through model-based online learning, constraint-aware generative planning, and efficient inference of foundation models on edge devices.
Recent news
- Apr 30, 2026: Our paper SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference was accepted to ICML 2026, which will be held in Seoul, South Korea, where I will present the poster.
- Apr 1, 2026: I started as a postdoctoral researcher in Prof. Melanie Zeilinger’s group at ETH Zurich.
- Mar 25, 2026: Our paper SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference was selected as a recent spotlight at CPAL 2026 in Tuebingen, where I presented the poster.
- Feb 2026: I taught the course Signals and Systems at Ashesi University in Ghana.
- Dec 15, 2025: I successfully defended my PhD thesis, Robot Learning under Control-Theoretic Constraints: From Offline Generalization to Online Adaptation.
- Sep 17, 2025: I presented a contributed talk at the EWRL 2025, entitled Provably Efficient Online Learning in Real-World Cyber-Physical and Robotic Systems.
- Sep 2025: Our demo proposal CRS – An Open-Source, Low-Cost, and Modular Platform for Robot Learning Research was accepted at CoRL 2025.
- Sep 2025: Our paper CRS: An Open-Source, Low-Cost, and Modular Platform for Robot Learning Research accepted at the Open-Source Hardware in Robot Learning Workshop at CoRL 2025.
- Aug 2025: Our paper Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing was accepted at CoRL 2025.
- Jul 2025: Our paper Constraint-Aware Diffusion Guidance for Imitation Learning was accepted at EWRL 2025.
- Jul 2025: Our paper Online Optimization of Closed-Loop Control Systems was accepted at EWRL 2025.