Marco Podda

Curriculum Vitae

Academic Positions

Postdoctoral Research Fellow

Starting August 2026 University of Pisa, Department of Computer Science

Research and development of self-adaptive convolutional neural networks. Jointly funded by the University of Pisa and NEC Laboratories Europe GmbH.

Assistant Professor (RTD-A)

June 2023 - May 2026 University of Pisa, Department of Computer Science

Researcher in the FAIR—Future Artificial Intelligence Research project (PE00000013), scientific sector INFO-01/A.

Postdoctoral Research Fellow

February 2021 - May 2023 University of Pisa, Department of Computer Science

Deep learning and autoencoders for vaccine candidate identification. Jointly funded by the University of Pisa and GSK Vaccines s.r.l.

Postgraduate Research Fellow

May 2017 - November 2017 University of Pisa, Department of Computer Science

Analysis of clonal evolution data using machine learning.

Education

Ph.D. in Computer Science

May 24, 2021, University of Pisa, Italy

Thesis: “Deep Learning on Graphs with Applications to the Life Sciences”
Advisors: Prof. Davide Bacciu and Prof. Alessio Micheli
Recipient of an MIUR doctoral scholarship.

M.Sc. in Computer Science

March 3, 2017, University of Pisa, Italy

Thesis: “Predicting mortality in low birth weight infants: a Machine Learning perspective”
Advisors: Prof. Davide Bacciu and Prof. Alessio Micheli

B.Sc. in Computer Science

February 27, 2008, University of Cagliari, Italy

Awards & Honors

National Scientific Qualification for Associate Professor

July 20, 2026, Italian Ministry of University and Research

Competition Sector 01/B1: Computer Science.

Distinguished Reviewer Award

2025, ECML-PKDD 2025, Research Track

Runner-up E-Cardiology Award

2024, European Heart Journal Supplements

For “Predictive machine learning model for mechanical dilatation in transvenous lead extraction procedures.”

Best Paper Award

2020, BIOINFORMATICS 2020

For “Prediction of Dynamical Properties of Biochemical Pathways with Graph Neural Networks.”

Skills

Programming Languages

Python, C, R

Machine Learning Frameworks

PyTorch, TensorFlow, Keras, Scikit-learn, Hugging Face Transformers

Data Science Tools

Pandas, NumPy, SciPy, Matplotlib, Seaborn, Jupyter

Graph & Network Tools

NetworkX, PyTorch Geometric, DGL

Other

LaTeX, Markdown, SQL, UNIX/Linux

Languages

Italian

Native

English

Fluent