Education

• ETH Zürich, Zürich, Switzerland (2022 - present)
  • Ph.D. Candidate in Information Technology & Electrical Engineering
  • Advisor: Prof. Dr. Luca Benini
  • Second Advisor: Dr. Francesco Conti
  • Thesis Title (work in progress): Efficient Foundation Model Deployment on Heterogeneous RISC-V-based SoCs with Software-Managed Caches
• Institut Supérieur de l’Electronique et du Numérique of Lille (ISEN Lille), Lille, France, (2017 - 2022)
  • M.S. in Computer Science
  • Major: Artificial Intelligence
  • Advisor: Dr. Antoine Frappé
• Juniata College, PA, USA (2021)
  • B.S. in Computer Science and Engineering Physics

Research Experience

Integrated Systems Laboratory (IIS), ETH Zürich, Switzerland, (July 2022 - Present)

• Optimization of Tiny Transformers Deployment on MCUs with Software-Managed Caches:
  • Developed, quantized, and benchmarked tiny transformer networks for EEG seizure detection via surface EEG and ECG-based arrhythmia classification (IEEE TBioCAS).
  • Developed a new kernel library targeting transformers at the edge and a fusion tiling scheme to reduce the memory peak caused by the Self-Attention mechanism (IEEE Transactions on Computers, First Author).
• Quantization and Deployment of Llama-based Tiny Language Model on Heterogeneous SoC:
  • Developed Deeploy, an open-source DNN compiler for heterogeneous RISC-V SoCs with Software-Managed Caches.
  • Quantized and benchmarked the execution of a tiny Llama model on Siracusa, a heterogeneous RISC-V SoC, using our open-source tools Deeploy and QuantLib (IEEE CASES, IEEE TCAD).
  • Built and evaluated Transformers on an MCU-class architectural template to efficiently integrate specialized hardware accelerators with multi-core clusters (IEEE D&T).

ESAT-MICAS, KU Leuven, Belgium, (May 2021 - Aug 2022)

• Design Space Exploration of the Temporal Mapping on DNN Accelerators with the ZigZag Framework:
  • Developed, integrated, and benchmarked SALSA, a new temporal mapping optimizer based on Simulated Annealing in the ZigZag framework (IEEE AICAS 2023, First Author)

Publications

For an up-to-date list of my publications, please check my Google Scholar profile

Talks

Teaching

• Machine Learning on Microcontrollers - Teaching Assistant
  • Developed exercises and supervised laboratory session and final projects

Service

Reviewer

• International Symposium on Computer Architecture (ISCA)
• IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)
• ACM Transactions on Embedded Computing Systems (TECS)
• IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)

IEEE Graduate Student Member