Wei-Hua Lee

About Wei-Hua Lee

Gene Therapy Scientist | AAV Expert | Leader in Preclinical R & DI spearhead gene therapy research using AAV vectors in animal models, securing proof-of-concept data crucial for advancing gene therapy candidates to clinical development.Key Achievements:• Research: Led the scientific team from portfolio strategy and program design to candidate nomination.• Global Collaborations: Initiated and fostered R&D ocular projects with academic institutions, CROs, PIs, KOLs, and consultants worldwide.• Preclinical Studies: Conducted IND-enabling studies in various models, including iPSC cells, mice, rats, mini pigs, and non-human primates.• Data Communication: Effectively communicated experimental data to inform project advancement decisions.• AAV Analytical Methods: Developed and qualified methods to support preclinical, clinical, and manufacturing needs, including target evaluation, titer, potency, biodistribution, and immunogenicity.• Leadership Recognition: Praised for leadership, organizational skills, perseverance, and innovative assay implementation.• Publications & Patents: Authored/co-authored 8 national conference abstracts and 14 patent applications.• Injection Devices: Developed and tested devices for various AAV delivery routes in the eye.• NIU & HAE Studies: Led preclinical studies, developing assays and determining key parameters for selecting lead vectors and doses.• Novel Discoveries: Discovered a block in AAV-derived transgene product in NHP liver, prompting new research, and identified novel AAV capsids, presenting findings at international conferences.I am passionate about advancing gene therapy and bringing innovative solutions to clinical development. Let\'s connect!

Experience

1. Expert Contributor - Neuroscience

   Snorkel AI

   Sep 2024 — Present · Redwood City, CA, US

   Consolidated Statement of Contribution Snorkel’s data annotation projects advance cutting-edge AI research in reasoning, evaluation, and problem-solving—improving the utility of large language models (LLMs) in academia, industry, and beyond. As an Expert Contributor, I authored and validated original, high-difficulty problems, applying subject matter expertise to develop graduate-level exam-style questions, assess AI-generated responses, identify reasoning flaws, and refine model outputs. My contributions helped build datasets used to fine-tune, benchmark, and improve LLMs’ ability to produce rigorous, verifiable solutions. Expanded Statements of Contribution Expert Contributions • Authored and validated original, graduate-level problems to test and enhance LLM fluency and reasoning capabilities. • Contributed to a proprietary dataset of high-rigor challenges used in AI fine-tuning, benchmarking, and reinforcement learning. Core Competencies & AI-Related Skills • AI Model Evaluation & Theoretical Reasoning Validation • Logical Error Detection & Self-Correction Mechanisms in AI • Data Annotation • LLM Prompt Engineering for Reasoning and/or graduate-level Knowledge Tasks Impact • Advanced AI’s depth of knowledge and ability to reason, validate its own solutions, and produce rigorous justifications and academically acceptable solutions, directly improving interpretability and correctness in LLM-based problem solving. • Uncovered failure modes in deductive logic, computation, and mathematical reasoning. • Contributed to the evolution of AI\'s mathematical cognition, influencing model fine-tuning strategies and shaping the next generation of AI reasoning benchmarks.

Education

• University of Florida

  Doctor of Philosophy (PhD), Medical Sciences - Neuroscience

• University of Iowa

  MS, Biology-Neuroscience

• National Taiwan Normal University

  BS, Biology and science education