Super excited to join @EPFL_en as assistant professor in the fall of 2024. Heartfelt gratitude to everyone who supported me!
I am #hiring#PhDs and #PostDocs! Interested in developing machine learning methods for enhancing science🧬and personalized medicine💊?
Details in the🧵!
How does optimal transport allow us to study dynamical systems? How does it connect to control theory, flow matching, & diffusion models? How is it advancing molecular biology research?
Find the answers in our tutorial! Recording, slides, & script under
bunne.ch/ot_tutorial/.
🎉I defended my #PhD!
🧵Neural optimal transport for biomedicine? A thread below with the #thesis highlights!
But first, a huge thank you to my advisors @arkrause and @cuturimarco, my committee @lucaspelkmans and @jure, and all collaborators for such an incredible adventure!
How can we build an Al Virtual Cell 🔮🧬 that simulates all functions and interactions of a cell? How will it transform research and drive breakthroughs in programmable biology, drug discovery and personalized medicine?
🚀 Take a look at our Perspective!
arxiv.org/pdf/2409.11654
Our workshop on 'New Frontiers in Learning, Control, and Dynamical Systems' will take place at #ICML2023. Aim: to unravel mutual relationships across these disciplines and shed light on recent parallel developments!
Stay tuned for updates!
frontiers4lcd.github.io
Our #ICLR2022 paper got featured in @MIT's news 🎉!
In this work, we predict protein docking from unbound structures end-to-end by incorporating the inductive biases of pairwise SE(3)–equivariance and commutativity (arxiv.org/pdf/2111.07786…)!
news.mit.edu/2022/ai-predic…
I spoke with @Nature about the transformative potential of foundation models for biology—particularly in personalized medicine and clinical diagnostics.
Take a look at the technologies to watch in 2025. An exciting year ahead in AI, biology and medicine!
✨Another edition of the Optimal Transport and Machine Learning workshop is taking place at #NeurIPS2023.
🚀Contribute your work on OT and theory, computation, deep learning, or applications until Sept 29 (otmlworkshop.github.io/call)! Details on speakers and schedule coming soon.
✨Excited to share our work on “AI-powered virtual tissues from spatial proteomics for clinical diagnostics and biomedical discovery” (arxiv.org/pdf/2501.06039…), building on our vision paper in @CellCellPress on multi-scale, multi-modal foundation models (shorturl.at/G2Dew).
We are #hiring#PhD students via the #ELLIS PhD Program!
Interested to work on (generative) #AI method development to advance personalized medicine? Located at the School of Computer Science and Life Sciences at @EPFL🇨🇭and part of the @EPFL_AI_Center, we are closely collaborating
