Summary
Simon Meierhans is a fourth-year PhD candidate in computer science at ETH Zürich specializing in algorithms and optimization, with eight years of industry and research experience bridging theory and applied machine learning. His work explores how principled optimization techniques can improve ML and operations research, informed by internships and visits at institutions like Google, G-Research, the Simons Institute, and Disney Research. Comfortable moving between academic rigor and practical impact, he has a track record of short-term research placements that suggest an ability to rapidly prototype and validate ideas in production-minded environments. Based in Zurich, he is actively open to opportunities in both academia and industry and brings the combination of deep theoretical training and hands-on quantitative research experience.
8 years of coding experience
1 year of employment as a software developer
Doctor of Science, Computer Science, Doctor of Science, Computer Science at ETH Zürich