CV

Download my CV (Last updated: November 6, 2024)

Education

Master’s Degree in Data Science and AI, Chalmers University of Technology, 2023
- Thesis: “Machine Learning for Predicting Targeted Protein Degradation”
Swedish Licentiate of Technology, Chalmers University of Technology 2021
- Thesis: “Multi-LSTM Acceleration and CNN Fault Tolerance”
Master’s Degree in Computer Engineering Embedded Systems, Polytechnic University of Turin, 2016
Bachelor’s Degree in Computer Engineering, University of Modena and Reggio Emilia, 2014

March 2024 - Present: PhD Student, AI Laboratory for Molecular Engineering (AIME), Chalmers University of Technology.
- Researching in AI-driven molecular engineering with applications in drug discovery.
Fall 2023: Research Student, AI Laboratory for Molecular Engineering (AIME), Chalmers University of Technology.
- Continuing master thesis work on predicting protein-ligand activity using deep learning models.
Spring 2023: Master Thesis Intern, AstraZeneca, Gothenburg
- Worked on thesis titled “Machine Learning for Predicting Targeted Protein Degradation”.
2020 - 2022: Hardware Engineer, Cobham Gaisler, Gothenburg
- Digital designer writing and testing RTL modules for RISC-V based processors.
2016 - 2020: Teaching Assistant, Chalmers University of Technology
- Taught VHDL and assisted in courses related to signal processing and computer architecture.
2014: Intern, QUIX Software Solutions & Consulting, Italy
- Software development focusing on public sector service management.

Deep learning frameworks and high performance computing: PyTorch, TensorFlow, CuPy, Numba
Programming: Python, C, C++, CUDA, OpenCL
Proficient in Git and scripting in both Linux and Windows environments

Sketching, cooking, and playing football as a goalkeeper (but don’t ask me for my favorite team, I have no clue!)