- 2026 -
-
building Baseline Robotics, remote access to
robot arms for training and benchmarking manipulation policies.
- 2024 - 2026
-
worked on multi-agent reinforcement learning (MARL) for warehouse navigation, from
cooperative pathfinding
to
optimal bin placement.
- 2022 - 2024
-
worked on slicing algorithms for industrial 3D printing at
NematX.
- 2021
-
worked on function-space priors for deep Bayesian models at the ETH AI
Center.
- 2018 - 2021
-
master's in robotics at ETH Zurich. My thesis focused on Bayesian deep
learning, supervised by Prof.
Andreas Krause
and
Jonas Rothfuss, exploring how to
build inductive bias through the data generating
process.
- 2019 - 2020
-
worked on active learning for semiconductor defect
detection at ABB Research.
- 2015 - 2018
-
bachelor's in mechanical engineering at EPFL.
- earlier
-
high school math competitions (finalist in AIME, prizes in
2011
and
2013).
