Purely Agentic Black-Box Optimization for Biological Design
natalie-maus
Education
PhD Computer Science
2025-08
University of Pennsylvania
MS Biomedical Informatics
2023-08
2025-05
Harvard Medical School
BS Computer Science & Statistics
2019-09
2023-06
Northwestern University
Interests
Agents
Deep Research
Featured Publications
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1 min read
Multi-Scale Representation Learning for Protein Fitness Prediction
zuobai-zhang
Recent Publications
(2026).
Purely Agentic Black-Box Optimization for Biological Design.
arXiv.
(2025).
Few-shot Protein Fitness Prediction via In-context Learning and Test-time Training.
NeurIPS 2025 Workshop.
(2024).
Navigating Chemical Space with Latent Flows.
NeurIPS 2024.
(2024).
Multi-Scale Representation Learning for Protein Fitness Prediction.
NeurIPS 2024.
(2024).
Augmenting Evolutionary Models with Structure-Based Retrieval.
ICML 2024 Workshop.
Recent & Upcoming Talks
Machine Learning-Driven High-Throughput Mapping of Lipid Nanoparticle Structure–Function Relationships for Ex-Vivo Immunotherapy
Agentic optimization to understand and design LNPs.
