I work on generative models for structural based drug design,
trying to push the boundaries of what's possible with AI.
Outside my research, I am very passionate about computer vision,
and a true lover of music and photography. Feel free to get in touch
if you want to collaborate, or just say hi at riccardo.tedoldi@gmail.com.
Stay tuned on the upcoming talks me and Ross Irwin are co-organizing GenAI for drug discovery talks! Check the schedule and register to attend hereβ, or feel free to fill the
form to suggest speakers, topics or register your interest to receive updates on upcoming talks hereβ.
Journal / Conference publications
FlexiFlow: decomposable flow matching for generation of flexible molecular ensemble
Riccardo Tedoldi, Ola Engkvist, Patrick Bryant, Hossein Azizpour, Jon Paul Janet, Alessandro Tibo
ICML, 2026
WEISS: Wasserstein efficient sampling strategy for LLMs in drug design
Riccardo Tedoldi, Junyong Li, Ola Engkvist, Andrea Passerini, Annie M. Westerlund, Alessandro Tibo
Machine Learning: Science and Technology, 2025
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paper]
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code]
3D part segmentation via geometric aggregation of 2D visual features
Marco Garosi, Riccardo Tedoldi, Davide Boscaini, Massimiliano Mancini, Nicu Sebe, Fabio Poiesi
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
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paper]
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project page]
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code]
Workshop publications
An open source perspective on AI and alignment with the EU AI Act
Diego Calanzone, Andrea Coppari, Riccardo Tedoldi, Giulia Olivato, Carlo Casonato
IJCAI @ AISafety/SafeRL Workshop, 2023
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paper]
News π’
March 2026: Selected for a fully founded study trip in Singapore!
January 2026: Presenting my poster at WASP Winter Conference 2026! Check it out
here.
December 2025: Presenting WEISS at EurIPS ML4Molecules workshop as Oral! Check it out
here.