Eric Liao is a data scientist with 11 years of experience applying machine learning, bioinformatics, and genomics to drive scientific and business decisions across government, commercial, pharmaceutical, and academic settings. He blends hands-on ML/NLP and MLOps expertise—building FastAPI services, Azure pipelines, and W&B-tracked workflows—with deep domain knowledge in NGS lab operations and life-science product commercialization. As a co-founder of a genomics startup, he scaled technical and business functions from discovery-driven bioinformatics to regulatory-aware operations and customer-facing diagnostics. Currently at the Los Angeles County Department of Public Health he is prototyping GenAI RAG applications for public-health knowledge retrieval, bringing startup-grade agility to government data problems. With dual graduate training in machine learning and biochemistry, he uniquely bridges computational rigor and wet-lab realities to translate complex genomic data into actionable insights.
11 years of coding experience
14 years of employment as a software developer
BS, Biochemistry & Molecular Biology, BS, Biochemistry & Molecular Biology at University of California, Davis
Master of Science (MS), Biochemistry, Master of Science (MS), Biochemistry at California State University, Long Beach
Master's degree, Computer Science (Machine Learning), Master's degree, Computer Science (Machine Learning) at Georgia Institute of Technology
A big data web application to predict USA airline traffic delay with Python, Flask, Apache Spark, Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, MLlib and Apache Airflow.
Contributions:4 commits, 3 pushes, 1 branch in 3 years 11 months
Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports LLaMa2, llama.cpp, and more. Demo: https://gpt.h2o.ai/
Contributions:28 pushes in 1 year
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