Carlo De Donno — accepted AI-conference papers

2025

OligoGym: Curated Datasets and Benchmarks for Oligonucleotide Drug Discovery

Rachapun Rotrattanadumrong, Carlo De Donno

NeurIPS 2025poster

Oligonucleotide therapeutics offer great potential to address previously undruggable targets and enable personalized medicine. However, their progress is often hindered by insufficient safety and efficacy profiles. Predictive modeling and machine learning could significantly accelerate oligonucleoti…

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2023

Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information

Yulun Wu, Rob Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C Price +2

ICLR 2023poster

Predicting the responses of a cell under perturbations may bring important benefits to drug discovery and personalized therapeutics. In this work, we propose a novel graph variational Bayesian causal inference framework to predict a cell's gene expressions under counterfactual perturbations (perturb…

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