Most AI protein tools assume fixed structures. But disease-linked proteins constantly change shape.
@MariaRoCompBio is using generative AI to crack the code - and benchmark where current tools fall short. Read more: https://t.co/tHMUV3z6vj
@YaleMed
AI is often presented as a near-magical solution for medicine. The reality is more complex.
In my latest OpEd, I argue that the challenge isn’t the technology, but how we talk about it. Overselling AI risks eroding public trust in science and medicine.
https://t.co/jcKk3KUcy3
🎓 Applications open for Yale's M.S. in Computational Biology & Biomedical Informatics.✨ No GRE required 📌 Deadline: Dec. 1, 2025
Apply: https://t.co/0kiza1BOsE | Info: https://t.co/ondUuBzLXs
Excited to share my first op-ed on gender equity, published in Women’s eNews. I reflect on how internalized fear and self-doubt continue to hold women back, even as external barriers begin to fall.
https://t.co/54fpVa9p00
Grateful to @TheOpEdProject for their support.
Please join faculty from the Department of Immunobiology, the Department of Bioinformatics & Data Science and the Microbial Sciences Institute for a Q&A webinar about our faculty searches at Yale. October 10, 2024 12p (noon) EST. Registration required: https://t.co/FxEfmaRRZ2
Choosing ignorance to fuel curiosity and discovery—The importance of stupidity in scientific research, M. Schwartz (https://t.co/Rs17xc2nNK).
I especially love this line: 'Productive stupidity means being ignorant by choice'.
Interested in PhD or postdoctoral positions at the interface between interpretable deep learning and computational immunology? These positions at the University of Bern and Yale University might be what you are looking for: https://t.co/AqsjszaDqz
We are looking for 2 motivated PhD candidates to develop computational models of cardiometabolic disease. Based at the Univ. of Bern with periodic visits to Yale envisioned. Learn more about these exciting opportunities and apply here:
https://t.co/gXeRRjORZ7./applicants
Looking for a postdoc to join my team @institutpasteur@CNRS@InstitutPrairie. The candidate will develop machine learning methods for single-cell omics data. Project funded by the #ERCStG MULTI-viewCELL