CV

Education

• Ph.D in Bioinformatics, Bielefeld University, 2027 (expected)
• M.S. in Artificial Intelligence Systems, University of Trento, 2023
• B.S. in Genomics, University of Bologna, 2020

Work experience

• Teaching assistant
  • Generative Models in Biomedicine
  • Data Structures in Pangenomics
  • Advances in Attention Networks
  • Graph Neural Networks in Biology
  • Programming in Python

Research stays

• Fall 2025: Simon Fraser University, Vancouver, British Columbia, Canada
  • Green chemistry
  • Reinforcement learning
  • GFlowNets
• Summer 2025: Hunan University, Changsha, Hunan, China
  • Computational drug design
  • Molecular generative models
  • Docking and post-hoc filtering
• Summer 2022: Cambridge University, Cambridge, UK
  • Graph neural networks
  • Explainable AI
  • Molecular property prediction

Programming skills

• Python (PyTorch, DGL, PyG, OpenCV)
• R (biostatistics)
• Rust (beginner)

Publications

A unified computational framework for the integration of AI models in structure-based drug design

Pianesi, L. and Schönhuth, A. (2026). "A Unified Computational Framework for the Integration of AI Models in Structure-Based Drug Design." GEM workshop, ICLR.

Considerations in the search for epistasis

Balvert, M., Cooper-Knock, J., Stamp, J., Byrne, R.P., Mourragui, S., van Gils, J., Benonisdottir, S., Schlüter, J., Kenna, K., Abeln, S., Iacoangeli, A., Daub, J.T., Browning, B.L., Taş, G., Hu, J., Wang, Y., Alhathli, E., Harvey, C., Pianesi, L., Schulte, S.C., González-Domínguez J., Garrisson, E., Lorentz workshop on epistasis, Snyder, M.P., Schönhuth, A., Sng, L.M.F. and Twine, N.A. (2024). "Considerations in the search for epistasis." Genome Biology. 25(296).

Searching for a source of difference in undirected graphical models for count data: an empirical study

Agostinis, F., Chiogna, M., Djordjilovic, V., Pianesi, L. and Romualdi, C. (2021). "Paper Title Number 1." Book of short papers. SIS - Società Italiana di Statistica, 689-694.

Teaching

Advances in Attention Networks

Graph Neural Networks in Biology

Programming in Python