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Resume (English only)
Academic Achievements
Invited Talk: Energy-Efficient Generative AI on Open-Source RISC-V Heterogeneous SoCs. Venue: Online TinyML Forum: Beyond LLMs and Chatbots – the Journey to Generative AI at the Edge.
Research Experience
Ph.D. candidate at the Integrated Systems Laboratory (IIS) of ETH Zürich.
Education
PhD: Integrated Systems Laboratory (IIS) at ETH Zürich, supervised by Prof. Dr. Luca Benini; Master's Degree: Computer Science from Institut Supérieur de l’Electronique et du Numérique of Lille (ISEN Lille); Bachelor's Degree: Computer Science and Engineering Physics from Juniata College.
Background
Research interests include ML Compilers for Heterogeneous SoCs, Quantization, Embedded Deep Learning, and Scheduling.
Miscellany
Contact and social media links: Email, Google Scholar, ORCID, GitHub, X (formerly Twitter).