Manuel Burger

AIML Research Intern at ETH Zürich

Zurich, Zurich, Switzerland
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Summary

👤
Senior
🎓
Top School
Manuel Burger is a PhD candidate at ETH Zurich specializing in foundation models for healthcare, translating advanced ML research into clinical deployments such as a leading study at Inselspital Bern. With a decade of experience and a background in computer science and data science from ETH, he focuses on making AI accessible across settings from ICUs to consumer health devices. He combines research rigor with hands-on engineering, contributing to open-source projects like DaCe where he improved FPGA code generation and Xilinx support. His teaching assistant roles reflect strong communication and mentoring skills, helping train the next generation of ML practitioners. Fluent in a cross-disciplinary environment that includes Chinese studies, he brings cultural agility to international collaborations. Colleagues describe him as pragmatic and detail-oriented, able to bridge prototype models and real-world clinical constraints.
code11 years of coding experience
bookMaster's degree, Data Science, Master's degree, Data Science at ETH Zürich
bookBachelor's degree, Chinese Studies, Bachelor's degree, Chinese Studies at Shanghai Jiao Tong University
languagesEnglish, Italian, French, Spanish, Chinese, German
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Github Skills (11)

fpga10
code-generation10
xilinx10
systemverilog10
scientific-computing9
parallel-computing9
cprogramming-language9
cluster-computing9
c-language9
verilog9
cuda8

Programming languages (6)

RC++JavaScriptGoJupyter NotebookPython

Github contributions (5)

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spcl/dace

Mar 2020 - Apr 2021

DaCe - Data Centric Parallel Programming
Role in this project:
userBack-end Developer
Contributions:9 reviews, 111 commits, 17 PRs in 1 year
Contributions summary:Manuel contributed to the DaCe project by fixing issues in the FPGA code generation, particularly related to Xilinx. Their work included correcting file paths and improving error messages within the FPGA code generator. They also added support for additional math functions, such as fabs, for Xilinx and optimized related vector operations.
cudahigh-level-synthesisparallelhigh-performance-computingvivado-hls
manuelburger/dace

Feb 2020 - May 2021

DaCe - Data Centric Parallel Programming
Contributions:251 pushes, 15 branches in 1 year 2 months
parallelmulti-threadingmulticoredata-centricparallel-programming
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