Experience

This is a summary of my professional experience, including teaching, supervising students, and participating in the machine learning community.

Career

2023 - Now
Isomorphic Labs
Staff Research Scientist and Team Lead
Working on reimagining drug discovery with the power and scale of generative AI.
Previous roles: Research Scientist, Senior Research Scientist.

2022 - 2023
École Polytechnique Fédérale De Lausanne (EPFL)
Postdoctoral Researcher
Conducted research at the intersection of AI and structural biology, with a primary focus on neural fields and generative models for protein design.

2019 - 2020
Krembil Research Institute
Visiting Researcher
Conducted research on geometric deep learning for the localisation of epileptic seizures, with promising results on human clinical data.

Academia

Teaching

I have contributed to teaching, organizing, and supervising these university courses:

Faculty roles

I have been Ph.D. representative for USI's Faculty of Computer Science in 2018/2019.
During that time, I was the official point of contact between the Faculty and its doctoral students, participating in Faculty meetings and contributing to the strategical decisions of the University.

Awards

  • Awarded a Mobility grant of 18.000 CHF by the Swiss National Science Foundation in 2019.

Community

This is a list of my past and current roles as a member of the AI community:

Spektral

I am the main developer of Spektral, an open-source Python library for creating graph neural networks in TensorFlow and Keras. The project has thousands of active users and was one of the first libraries ever created for graph deep learning.

Supervising & Mentoring

Mentoring for International Opportunity
V. Barletta  |  Mentorship (Talented Italians in the UK, 2024-2025)

SmoothPool: a Hierarchical Pooling Operator for GNNs
Y. Chen  |  Master's thesis (USI, 2022)

Exploring Implicit Neural Representations from a Signal Processing Perspective
J. Deschenaux  |  Semester project (EPFL, 2022)

Adaptive Neural Cellular Automata
A. Charneca  |  Semester project (EPFL, 2022)

Coarsening Disassortative Graphs
A. Bar, G. Gonzalez, A. Jamadandi, V. Polianskii, M. Thiessen, Z. Zhong  |  Student project (LOGML summer school, 2021)

Molecule Generation with Graph-based Generative Adversarial Networks
M. Nobile  |  Master's thesis (USI, 2021)

Prediction of Epileptic Seizures with Graph-based Deep Learning
A. Ruggeri  |  Master's thesis (USI, 2020)

Talks

Generalised Implicit Neural Representations
Neural Information Processing Systems (2022)  |  Slides 

Introduction to Graph Neural Networks and Graph Pooling
Graph Deep Learning course @ USI (Feb 28, 2022)  |  Slides 

Learning Graph Cellular Automata
Learning on Graphs and Geometry Reading Group (Jan 11, 2022)  |  Slides  Video 

Graph Neural Networks: Operators and Architectures
Dissertation defense @ USI (Dec 10, 2021)  |  Slides 

Pooling in Graph Neural Networks
Advanced Machine Learning course @ U. Manitoba (Dec 1, 2021)  |  Slides 

Learning Graph Cellular Automata
Italian Workshop on Machine Learning and Data Mining @ AIXIA (2021)  |  Slides 

Learning Graph Cellular Automata
Neural Information Processing Systems (Dec 7, 2021)  |  Slides 

Pooling in Graph Neural Networks
Graph Deep Learning course @ USI (Mar 15, 2021)  |  Slides 

Introduction to Graph Neural Networks
Graph Deep Learning course @ USI (Mar 1, 2021)  |  Slides 

Spectral Clustering with Graph Neural Networks for Graph Pooling
International Conference on Machine Learning (2020)  |  Slides 

Graph Neural Networks in Tensorflow and Keras with Spektral
Graph Representation Learning and Beyond @ ICML (2020)  |  Slides 

Graph Neural Networks e MinCut Pooling (in Italian)
Italian Association for Machine Learning (ML/DS Meetup) (2020)  |  Slides  Video 

Generative Adversarial Networks
Advanced Topics in Machine Learning course @ USI (Sep 17, 2020)  |  Slides 

Autoregressive Models for Sequences of Graphs
International Joint Conference on Neural Networks (2019)  |  Slides 

Reviewing

I have served as reviewer for these AI conferences, journals, and workshops:

Conferences

  • Neural Information Processing Systems (NeurIPS)
  • International Conference on Learning Representations (ICLR)
  • International Conference on Machine Learning (ICML)
  • Computer Vision and Pattern Recognition (CVPR)
  • Learning on Graphs Conference (LoG)
  • The Web Conference (WWW)
  • International Joint Conference on Artificial Intelligence (IJCAI)
  • International Joint Conference on Neural Networks (IJCNN)
  • European Symposium on Artificial Neural Networks (ESANN)
  • International Conference on Acoustics, Speech, & Signal Processing (ICASSP)

Journals

  • Journal of Machine Learning Research (JMLR)
  • Transactions on Machine Learning Research (TMLR)
  • Transactions on Neural Networks and Learning Systems (TNNLS)
  • Applied Soft Computing (ASOC)
  • Neurocomputing
  • Transactions on Knowledge Discovery from Data (TKDD)
  • Transactions on Emerging Topics in Computational Intelligence (TETCI)
  • Transactions on Geoscience and Remote Sensing (TGRS)

Workshops

  • New Frontiers in Graph Learning: Challenges, Perspectives, and Solutions (NeurIPS 2022)
  • Graph Neural Networks and Systems (MLSys 2021)
  • Graphs and more Complex structures for Learning and Reasoning (AAAI 2021, 2022)
  • ML Retrospectives (NeurIPS 2020)
  • Graph Representation Learning and Beyond (ICML 2020)
  • Graph Representation Learning (NeurIPS 2019)