Felix Bauer
Doctoral Assistant, Laboratory Of Catchment Hydrology And Geomorphology
Sion, Wallis, Switzerland
Summary
👤
Senior🎓
Top SchoolFelix Bauer is a computationally minded PhD student and engineer with eight years of experience building and deploying real-time ML solutions, most recently investigating climate-smart agricultural practices as a Doctoral Assistant at EPFL. He led small international teams at SynSense to produce production-grade Python and C++ toolchains, co-developed GPU-accelerated training for spiking neural networks with a 10x efficiency improvement, and deployed event-based optic-flow algorithms on specialized hardware. Trained at ETH Zurich and EPFL with distinction in physics and bioengineering, he blends rigorous mathematical grounding with hands-on systems engineering. As a co-founder of a sustainable cacao venture, he brings entrepreneurial instincts and a commitment to biodiversity that informs his applied research in agri-tech.
8 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology BombayAbitur, 1.0 (valedictorian), Abitur, 1.0 (valedictorian) at Friedrich-Wöhler-Gymnasium SingenMaster's degree, Physics, 5.93/6.0, with distinction, Master's degree, Physics, 5.93/6.0, with distinction at ETH ZurichBioengineering and Biomedical Engineering, Bioengineering and Biomedical Engineering at EPFL (École polytechnique fédérale de Lausanne)
German, English, Spanish, French, Russian, Italian
Github Skills (13)
spiking-neural-networks10
hardware9
machine-learning9
pytorch9
inference8
deep-learning7
neural-network6
datasets6
abaqus5
pytorch-lightning3
gpu3
tensor1
autograd1
Programming languages (3)
Github contributions (5)
synsense/rockpool
Jan 2018 - Dec 2022
Contributions:1518 commits in 4 years 11 months
synsense/sinabs-exodus
Feb 2021 - Jan 2023
Plugin for Sinabs, implementing the EXODUS algorithm for training SNNs efficiently with BPTT
Contributions:2 releases, 2 reviews, 194 commits in 2 years
trainingexodusbptt
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