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Mercor
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DocumentBiology and Biotechnology Subject Matter Expert – LLM Content Development & Safety Red Teaming. Brings 20 years of professional experience across regulatory, R&D, data analytics, project management, and scientific writing. Have worked in AI training projects for Mercor, Handshake AI, and Novonesis. Education includes Postdoctoral Research at Wake Forest University (2014) and Doctor of Philosophy, University of Florida (2010). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Human-In-The-Loop, RM SxS, and Red-Teaming.
The goal of the project is to analyze and provide preferences and feedback on two AI output responses to a prompt which asks a question pertaining to a biology or biotechnology problem.
Authored complex biological reasoning prompts and technical deliverables to train large language models (LLMs) in scientific synthesis and experimental design. Developed and evaluated content intended to improve LLM performance on high-level biological tasks. Conducted safety and adversarial testing of AI outputs for policy alignment and catastrophic risk management. • Created expert-level prompts and annotated responses for advanced AI training • Performed adversarial "red teaming" to identify and assess LLM vulnerabilities • Provided critical risk, safety, and policy feedback based on experimental results • Operated in the biological sciences/AI safety domain for Mercor Intelligence
Postdoctoral Research, Plant Biochemistry
Doctor of Philosophy, Plant Molecular and Cellular Biology
Enzyme Biosolutions Project Lead
Microbial Biofertility Project Leader
