✨Applications are now open for PhDs at the Cambridge Machine Learning Group!✨ We're looking for outstanding candidates interested in fundamental ML research and applications to scientific domains! More info: mlg.eng.cam.ac.uk/phd_programme_… 🧵Find more about PIs & focus areas below!

BigHat Biosciences is featured in STAT today’s “Who to Know: 7 companies to watch in AI protein design.” Read more about our work and how we’re advancing the field of next-generation biologics: statnews.com/2024/11/05/who…

We welcome Sebastian Ober, Fah Sathirapongsasuti and Nicholas Young. Sebastian joins BigHat’s Machine Learning team as Senior Machine Learning Scientist I. Sebastian will focus on improving BigHat’s integration of multimodal experimental data in Bayesian Optimization for

Incredibly excited to reveal what I've worked on at Microsoft Research these past two years! Think AlphaFold, but instead of predicting a *single* structure, we train a model to predict *all* the high-probability conformations a protein assumes in thermodynamic equilibrium.

Hunter Elliott, BigHat’s Sr. Director of Machine Learning, as well as Alan Amin, from the Andrew Gordon Wilson lab at New York University, will be presenting a paper titled, “Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences” at the NeurIPS Conference

Excited to be attending NeurIPS Conference from Wednesday! Feel free to 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 and/or meeting new people!

BigHat’s VP of Discovery Medicine, Ryan Henrici, will be giving his invited talk "Machine Learning-guided Design of Logic Gated and Avidity-driven T Cell Engagers for Solid Malignancies” at the Antibody Engineering Conference on December 17th at 11 AM PST in San Diego. The talk will

Active learning for affinity prediction of antibodies • A novel active learning framework is proposed to optimize antibody binding affinity, significantly reducing the computational and experimental costs associated with affinity predictions. • The framework uses relative

New model trained on new dataset of nearly a million evolving antibody families at AIDrugX workshop Sunday at 4:20 pm (#76) #Neurips! Collab between Andrew Gordon Wilson and BigHat Biosciences. Stay tuned for full thread on how we used the model to optimize antibodies in the lab in coming days!

BigHat is excited to kick off 2025 with a productive J.P. Morgan Healthcare Conference 2025! On Tuesday, January 14, 2025 our CEO, Mark DePristo, will speak on the Next in Tech Bio | Computational Strategies for Drug Discovery panel (⏰ 7:00PM @ 📍 Benchling) and CBO, Liz

My PhD thesis is finally online. Thanks Cambridge MLG and Jose Miguel Hernández-Lobato for a wonderful 4.5 years learning about probabilistic ML 😍 LaTeX Code: github.com/austint/phd-th… Thesis DOI: doi.org/10.17863/CAM.1…

Hunter Elliott (Sr. Director, Machine Learning) will give his invited talk “Generative and Predictive Machine Learning for Iterative Multi-Objective Therapeutic Antibody Optimization” at the Biologic Summit 2025 in San Diego on January 15, 2025. In this talk, Hunter explores how

We're hiring for an ML Scientist 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/11…

Imperial's "Mathematics for Inference and Machine Learning" PDF: doc.ic.ac.uk/~dfg/Probabili…

🚨We're hiring! The AI and Data Analytics (AIDA) team at Mayo Clinic Radiation Oncology is recruiting Research Fellows to advance machine learning for real-world clinical impact. 🧵

Excited to be on my way to ICLR! Let me know if you'd want to chat about any of: ML for antibody design, Bayes opt/active learning, or probabilistic modeling. Looking forward to seeing old and new faces!

🧵1/ How does AI actually work under the hood? I just delivered a 6-part lecture series to clinician colleagues at Mayo Clinic: "Understanding AI from Scratch: From Linear Regression to ChatGPT". Watch here: mssvideoupload.mayo.edu/playlist/dedic…