Yining (Sam) Huang
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  • Publications
    • Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale
    • Purely Agentic Black-Box Optimization for Biological Design
    • Few-shot Protein Fitness Prediction via In-context Learning and Test-time Training
    • Navigating Chemical Space with Latent Flows
    • Multi-Scale Representation Learning for Protein Fitness Prediction
    • Augmenting Evolutionary Models with Structure-Based Retrieval
    • How to Go with The Flow: An Analysis of Flow Matching Molecular Docking Performance with Priors of Varying Information Content
    • An Energy Based Model for Incorporating Sequence Priors for Target-Specific Antibody Design
    • M²Hub: Unlocking the Potential of Machine Learning for Materials Discovery
    • Geometric Deep Learning for Structure-Based Drug Design: A Survey
    • A Prediction Model for Tacrolimus Daily Dose in Kidney Transplant Recipients With Machine Learning and Deep Learning Techniques
  • Recent & Upcoming Talks
    • From Literature Overload to AI Research Partner: Deep Research Agents for Biology
    • Machine Learning-Driven High-Throughput Mapping of Lipid Nanoparticle Structure–Function Relationships for Ex-Vivo Immunotherapy

Machine Learning-Driven High-Throughput Mapping of Lipid Nanoparticle Structure–Function Relationships for Ex-Vivo Immunotherapy

Mar 31, 2026·
Yining (Sam) Huang
Yining (Sam) Huang
,
Andrew Hanna
· 0 min read
Date
Mar 31, 2026 12:00 AM
Event
AIRFoundry Annual Meeting
events
Last updated on Oct 3, 2026
AI for LNP Design
← From Literature Overload to AI Research Partner: Deep Research Agents for Biology Jul 10, 2026

© 2026 Yining (Sam) Huang. This work is licensed under CC BY NC ND 4.0

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