CV

Education

• Ph.D in Information Engineering, University of Padova, 2025 (expected)
• M.S. in Data Science, University of Padova, 2021
• B.S. in Mathematics, University of Padova, 2019

Work experience

• Ph.D. Student @ Department of Information Engineering, University of Padova, 2021-present

Skills

• Machine and Deep Learning
• Programming languages
  • Python
    • Pytorch
    • TensorFlow
    • NumPy
  • MATLAB
  • C++
  • R

Publications

Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstruction

Learned Spike Encoding of the Channel Response for Low-Power Environment Sensing

A machine learning approach for early identification of patients with severe imported malaria

Talks

Seminar on Spiking Neural Networks

May 07, 2024

Talk at Dipartimento Ingegneria dell'Informazione, Padova, Italy

Attention Refined Unrolling for Sparse Micro-Doppler Reconstruction

July 14, 2023

Talk at SSIE Summer School of Information Engineering, Bressanone, Italy

Teaching

Teaching experience 2

Teaching experience 1

Service and leadership

• Currently signed in to 43 different slack teams