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. 🧵

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

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

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)

📢 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 🧵

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!