Taylor Joren
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    • Concept bottleneck language models for protein design
    • Guided Generation of B-cell Receptors with Conditional Walk-Jump Sampling
    • Lab-in-the-loop therapeutic antibody design with deep learning
    • Learning the language of antibody hypervariability
    • Prediction of single-cell RNA expression profiles in live cells by Raman microscopy with Raman2RNA
    • Cramming protein language model training in 24 GPU hours
    • Surface ID: a geometry-aware system for protein molecular surface comparison
    • Interpreting Raman spectra using machine learning: towards a non-invasive method of characterizing single cells
    • Simulation-assisted machine learning
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Cramming protein language model training in 24 GPU hours

May 1, 2024·
Nathan C Frey
Taylor Joren
Taylor Joren
,
Aya Abdelsalam Ismail
,
Andrew Goodman
,
Richard Bonneau
,
Kyunghyun Cho
,
Et Al.
· 0 min read
Type
Preprint
Publication
bioRxiv
Last updated on Jul 12, 2026
Taylor Joren
Authors
Taylor Joren
Senior Machine Learning Scientist
← Prediction of single-cell RNA expression profiles in live cells by Raman microscopy with Raman2RNA Jun 1, 2024
Surface ID: a geometry-aware system for protein molecular surface comparison Apr 1, 2023 →

© 2026 Taylor Joren. This work is licensed under CC BY NC ND 4.0

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