Bio

Hongyu Hè \ˈho:nˌu hə\ is a first-year Direct Doctorate student in Computer Science (CS) at ETH Zürich. He is working with Prof. Theodoros Rekatsinas on AI systems for large-scale machine learning models. He also worked with Prof. Ana Klimovic and Prof. Boris Grot on Serverless scheduling and built an end-to-end benchmarking platform. Before joining ETH, he studied CS and Mathematics at Vrije Universiteit Amsterdam and Universiteit van Amsterdam in the Netherlands, where he conducted research on Knowledge Graphs (KG) with Prof. Jacopo Urbani and on datacenter simulation & energy efficiency with Prof. Alexandru Iosup. At Elsevier Discovery Lab, he worked with Prof. Michael Cochez as a Research Assistant in 2020 on augmenting KGs with user queries. In 2019, he was rated as one of the top ten CS students nationwide by the Royal Holland Society of Sciences and Humanities. During his time in Amsterdam, he interned at Huawei R&D lab and worked part-time for the Dutch online supermarket, Picnic Technologies. Prior to that, he received his secondary education in China with a focus on Software Engineering and Applied Mathematics.

Professional Experience

Please see here for my detailed activities in the industry and academia.

[2022 Nov] Jargon unpacking @ the University of Zurich: “Unpacking Cloud Computing: A Users’ Point of View”
[2022 Oct] Systems seminar @ ETH Zurich: “Multiplying Matrices Without Multiplying” (paper review)
[2022 Jul] Invited talk @ ETH Zurich: “Unraveling Scheduling for Serverless”
[2022 May] Project report @ ETH Zurich: “Colocating Latency-Sensitive Tasks with Batch Jobs in the Cloud”
[2021 Nov] ADS thesis award @ the University of Amsterdam: “DVFS Scheduling for Datacenters in Smart Grid”

I’m crazy about doing all kinds of sports 🏀 🏓🏸 🎳 🏊 🏃 ♟️, and I’ve been playing the violin since I was eight 🎻.

Furthermore, I love my mom more than anything in the world combined 👩!