Taylor Joren
  • Bio
  • Publications
  • CV
  • Contact
  • Contact
  • CV
  • Blog
    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Publications
    • 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
  • Recent & Upcoming Talks
    • Example Talk
  • Teaching
    • Learn JavaScript
    • Learn Python

Simulation-assisted machine learning

Oct 1, 2019·
Timo M Deist
,
Andrew Patti
,
Zhaoqi Wang
,
David Krane
Taylor Joren
Taylor Joren
,
David Craft
· 0 min read
Type
Journal article
Publication
Bioinformatics, 35(20), 4072–4080
Last updated on Jul 12, 2026
Taylor Joren
Authors
Taylor Joren
Senior Machine Learning Scientist
← Interpreting Raman spectra using machine learning: towards a non-invasive method of characterizing single cells Feb 1, 2021

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

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.