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Join us in Montreal in July for this AACR conference that brings together experts in machine learning and AI for Cancer!

Thank you NIHR Maudsley Biomedical Research Centre (BRC) for inviting! I am truly looking forward to present our work that connects DNA variants and rearrangements to changes in chromatin folding and gene expression using our deep-learning models including UniversalEPI biorxiv.org/content/10.110…

Congratulations Carino on starting a new chapter of your career! Good luck with grants, students and editors :-)

Submit an abstract by April 16 for the AACR Special Conference on Artificial Intelligence and Machine Learning (July 10-12; Montreal), chaired by Valentina Boeva, Marzyeh, Benjamin Haibe-Kains, and Bo Wang: aacr.org/meeting/aacr-s… #AACRai25 Valentina Boeva Benjamin Haibe-Kains

Submit an abstract by April 16 for the AACR Special Conference on Artificial Intelligence and Machine Learning (July 10-12; Montreal), chaired by Valentina Boeva, Marzyeh, Benjamin Haibe-Kains, and Bo Wang: aacr.org/meeting/aacr-s… #AACRai25 Valentina Boeva Benjamin Haibe-Kains

ML and ML+Bio Builders: We Vevo Therapeutics are joining forces with Hugging Face & NVIDIA Healthcare to organize the 1st hackathon to build on Vevo's Tahoe-100M dataset. Join us! We will select 40 participants, provide compute and a $400 travel voucher for 10 travelers. Details in 🧵

🥳🔥Our study is out in Genome Biology! Conventional filtering out high-mtRNA cells depletes key malignant populations in cancer single-cell studies. Read it here 👉 genomebiology.biomedcentral.com/articles/10.11… Thanks to the dream team: Josephine Yates Agnieszka Kraft

🔥📚 A comprehensive review in Cancer Cell by Josephine Yates Josephine Yates with 205(!!!) citations on Challenges and Opportunities for AI for Translational Oncology - essential reading for anyone stepping into this exciting field! 🤖🧬

Register by May 29 to get the lowest rates for the AACR Conference on Artificial Intelligence and Machine Learning (July 10-12; Montreal), chaired by Valentina Boeva, Marzyeh, Benjamin Haibe-Kains, and Bo Wang: aacr.org/meeting/aacr-s… #AACRai25 Valentina Boeva Benjamin Haibe-Kains

Dear Rong Fan, thank you for hosting me! It was truly a pleasure to interact with you, Mina L Xu, Maria, Smita, Honhyo, Yuval and many others!

📢 Our extended benchmark on self-supervised learning for single-cell data, scSSL-Bench 🧬, is now accepted at ICML (spotlight)! Thanks to all collaborators from BIFOLD and ETH CS Department !

Register by May 29 to get the lowest rates for the AACR Conference on Artificial Intelligence and Machine Learning (July 10-12; Montreal), chaired by Valentina Boeva, Marzyeh, Benjamin Haibe-Kains, and Bo Wang: aacr.org/meeting/aacr-s… #AACRai25 Valentina Boeva Benjamin Haibe-Kains

Join Marieke and me for our talks on 3D genome folding a the Cancer Chromatin & Epigenetics Club! Link to register: us06web.zoom.us/webinar/regist… I will talk about UniversalEPI (github.com/BoevaLab/Unive…) and ASAP (github.com/BoevaLab/ASAP) CambridgeCancerEpigeneticClub

(1/n) New preprint from clarice Fan Fang Varshini Ramanathan in collab w Jie Liu Q: How do we get ultra-high-res 3D genome maps? A: New deep learning model, Cleopatra. Cleo trains on Micro-C, fine-tunes on RCMC, and predicts genome-wide 3D maps biorxiv.org/content/10.110…

🎓✨ A joyful and proud moment as my student Agnieszka Kraft successfully defended her PhD thesis at ETH Zurich! Her work on cancer transcriptional heterogeneity and biomarker discovery bridges computation and experiment in the most inspiring way. Brava, Agnieszka! 🌟