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About Dai Le

Dai Le is a software developer, AI model evaluation specialist, and biological scientist based in Corpus Christi, Texas. He has an MS in Computer Science from Texas A&M University-Corpus Christi and a PhD in Biological Sciences from Korea Advanced Institute of Science and Technology.

Corpus Christi, Texas

Professional background

Software development, AI model evaluation, and scientific work through dailephd LLC.

Dai works across software development, AI model evaluation, scientific data annotation, biological research, data analysis, and custom computing services through dailephd LLC. His research background includes bacterial physiology, antibiotic response, drug-target kinetics, proton motive force, efflux-mediated drug resistance, gene expression under stress, retinal developmental biology, retinal pigment epithelium polarity, Notch signaling, and retinal axon growth.

Research background

Bacterial physiology at Emory University and retinal developmental biology at KAIST.

Bacterial physiology - Emory University

At Emory University, Dai worked on quantitative bacterial physiology and antibiotic-response research involving E. coli and Pseudomonas aeruginosa. His work focused on how bacterial physiological state affects chemical and antibiotic stress response, including protonophore-mediated dissipation of proton motive force, efflux-mediated feedback, intracellular drug-target kinetics, and population-level variability.

  • Bacterial physiology
  • Antibiotic response
  • Proton motive force
  • Efflux pumps
  • Drug-target kinetics

Retinal developmental biology - KAIST

At KAIST, Dai worked on mouse retinal developmental biology, retinal pigment epithelium polarity, ESCRT-mediated protein trafficking, Notch signaling, retinal progenitor regulation, and Vax1-mediated retinal axon growth.

  • Retinal developmental biology
  • Retinal pigment epithelium
  • Notch signaling
  • Retinal axon growth

AI model evaluation and computing

AI response evaluation, data annotation, and custom computing services.

Dai works on AI model evaluation, data annotation, software development, and custom computing services. He evaluates AI-generated responses for factual accuracy, scientific reasoning, hallucinations, instruction following, safety compliance, and domain-specific correctness. His computing background includes Python, R, JavaScript, TypeScript, React, Next.js, machine learning, data analysis, technical documentation, and AI-assisted workflows.

Education

MS in Computer Science

Texas A&M University-Corpus Christi

2023 - 2025

PhD in Biological Sciences

Korea Advanced Institute of Science and Technology

2010 - 2016

BS in Biology

Hanoi University of Science, Vietnam National University-Hanoi

2006 - 2010