Philip Wiese
Doctoral Student at PULP Platform
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolPhilip Wiese is a Zurich-based doctoral student at ETH Zurich with 11 years of engineering experience bridging hardware and software for energy-efficient embedded systems. He develops deep neural network compilers for heterogeneous RISC-V multicore platforms and works on ultra-low-power multimodal sensing and fault-tolerant microcontroller designs. His background includes leading electrical engineering for a student Hyperloop prototype, hands-on PCB and firmware development, and designing measurement and UI systems in industry. Philip pairs interdisciplinary academic rigor with practical product delivery—often translating research prototypes into robust, supply-chain-aware hardware teams. He is internationally minded (exchange at NUS) and brings a knack for connecting global collaborators to tackle large-scale, real-world challenges.
11 years of coding experience
3 years of employment as a software developer
High School, Physics und Applications of Mathematics, High School, Physics und Applications of Mathematics at Kantonsschule ReussbühlMaster of Science ETH - MS ETH, Electrical Engineering and Information Technology, Master of Science ETH - MS ETH, Electrical Engineering and Information Technology at ETH ZürichExchange Semester, Exchange Semester at National University of Singapore
English, German, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (44)
tinyml10
python9
machine-learning9
asic9
deep-learning9
keras9
hyperparameter-tuning8
risc8
risc-v8
latency8
tensorflow8
neural-network8
data-science7
pytorch7
deep-neural-networks7
Programming languages (7)
Github contributions (5)
pulp-platform/chimera-sdk
Nov 2024 - Mar 2025
Contributions:59 reviews, 12 PRs, 5 pushes in 4 months
maede97/MinusMinusEnergy
Feb 2019 - Apr 2019
BETH19 - EnergyCH Challenge
Contributions:3 releases, 78 commits, 6 PRs in 1 month
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