Sebastian Ober
sebastianober.bsky.social
Sebastian Ober
@sebastianober.bsky.social
Senior ML Scientist I at BigHat Biosciences.
Previously: AstraZeneca, Secondmind, PhD student & Gates Cambridge Scholar at CBL in Cambridge.
Views are my own.
Reposted by Sebastian Ober
We're hiring! The AI and Data Analytics (AIDA) team in Mayo Clinic Radiation Oncology is recruiting Research Fellows to advance machine learning for real-world clinical impact. 🧵
April 21, 2025 at 4:05 PM
We're hiring for an ML Scientist at BigHat Biosciences to work on advancing state-of-the-art ML methods with direct application to designing real-world antibodies! I've loved working here so far; feel free to DM with any questions.

bighatbiosciences.pinpointhq.com/en/postings/...
Machine Learning Scientist
Job Opening: Machine Learning Scientist at BigHat Biosciences in San Mateo, CA.
bighatbiosciences.pinpointhq.com
February 11, 2025 at 2:45 PM
Reposted by Sebastian Ober
My PhD thesis is finally online. Thanks @cambridgemlg.bsky.social for a wonderful 4.5 years learning about probabilistic ML 😍

Code: github.com/austint/phd-...

Thesis DOI: doi.org/10.17863/CAM...
GitHub - AustinT/phd-thesis: LaTeX code for my PhD thesis (https://doi.org/10.17863/CAM.114023)
LaTeX code for my PhD thesis (https://doi.org/10.17863/CAM.114023) - AustinT/phd-thesis
github.com
January 13, 2025 at 8:43 AM
Excited to be presenting my work, "Big batch Bayesian active learning by considering predictive probabilities" at the Bayesian Decision Making & Uncertainty (BDU) Workshop @neuripsconf.bsky.social, as both a lightning talk and a poster!https://openreview.net/pdf?id=VikX9euujU (1/3)
December 14, 2024 at 5:25 PM
Reposted by Sebastian Ober
📢 Excited to present our work at #NeurIPS2024!
📄 "Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood"
Read it here: arxiv.org/abs/2402.15978

Details in 🧵
December 6, 2024 at 2:59 PM
Excited to be attending @neuripsconf.bsky.social from Wednesday! Reach out if you're interested in any of:
- ML for protein therapeutics
- Bayes opt/active learning
- GPs/BNNs/DGPs
Looking forward to catching up with old friends & meeting new ones! I'll also have workshop posters - more later!
December 9, 2024 at 3:47 PM