Gabriele Corso
PhD student, MIT
gcorso@mit.edu
Bio
I'm an second-year PhD student at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) co-advised by Tommi Jaakkola and Regina Barzilay. My research focuses on geometric deep learning and generative models and their application to challenging problems in biochemistry and physics.
I did my Bachelor at the University of Cambridge where I wrote my thesis under the supervision of Pietro Lió and Jure Leskovec. Previously, I interned at Twitter Research, D.E. Shaw and Alchera Technologies as a machine learning researcher and at IBM and STMicroelectronics as a software engineer.
I am also part of the core team and mentor at LeadTheFuture, a nonprofit organization helping talented Italian university and high school students reach their potential.
Publications
Most recent publications on Google Scholar.
‡ indicates equal contribution.
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Gabriele Corso‡, Hannes Stärk‡, Bowen Jing‡, Regina Barzilay, Tommi Jaakkola
ICLR 2023 and Best Student Paper Award at the NeurIPS 2022 Score-Based Modeling workshop.
Torsional Diffusion for Molecular Conformer Generation
Bowen Jing‡, Gabriele Corso‡, Jeffrey Chang, Regina Barzilay, Tommi Jaakkola
NeurIPS 2022. Oral presentation.
Subspace Diffusion Generative Models
Bowen Jing‡, Gabriele Corso‡, Renato Berlinghieri, Tommi Jaakkola
ECCV 2022.
Neural Distance Embeddings for Biological Sequences
Gabriele Corso, Rex Ying, Michal Pándy, Petar Veličković, Jure Leskovec, Pietro Liò
NeurIPS 2021.
Directional Graph Networks
Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Liò
ICML 2021. Oral presentation.
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso‡, Luca Cavalleri‡, Dominique Beaini, Pietro Liò, Petar Veličković
NeurIPS 2020.
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Gabriele Corso‡, Hannes Stärk‡, Bowen Jing‡, Regina Barzilay, Tommi Jaakkola
ICLR 2023 and Best Student Paper Award at the NeurIPS 2022 Score-Based Modeling workshop.
Torsional Diffusion for Molecular Conformer Generation
Bowen Jing‡, Gabriele Corso‡, Jeffrey Chang, Regina Barzilay, Tommi Jaakkola
NeurIPS 2022. Oral presentation.
Subspace Diffusion Generative Models
Bowen Jing‡, Gabriele Corso‡, Renato Berlinghieri, Tommi Jaakkola
ECCV 2022.
Graph Anisotropic Diffusion
Ahmed A. A. Elhag, Gabriele Corso, Hannes Stärk, Michael M. Bronstein
ICLR 2022 Workshop on Geometrical and Topological Representation Learning.
3D Infomax improves GNNs for Molecular Property Prediction
Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Liò
ICML 2022.
Learning Graph Search Heuristics
Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Veličković, Zhitao Ying, Jure Leskovec, Pietro Lio
LoG 2022.
Neural Distance Embeddings for Biological Sequences
Gabriele Corso, Rex Ying, Michal Pándy, Petar Veličković, Jure Leskovec, Pietro Liò
NeurIPS 2021.
Directional Graph Networks
Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Liò
ICML 2021. Oral presentation.
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso‡, Luca Cavalleri‡, Dominique Beaini, Pietro Liò, Petar Veličković
NeurIPS 2020.
Vitæ
Here is a copy of my CV.-
MIT 2021 - nowPh.D. Student
CSAIL -
Twitter Research Summer 2021Research Scientist, Intern
Learning Methods Team -
D.E. Shaw Summer 2020Quant Analyst, Intern
Futures Group -
Alchera Technologies Summer 2019Machine Learnings, Intern
Traffic Forecasting -
University of Cambridge 2018 - 2021B.A. Student
Computer Science
First Class Honours with Distinction -
IBM Summer 2018Software Engineer, Intern
IBM IOT Lab