An Huynh brings expertise in artificial intelligence, cloud engineering, and clinical research to her role as Senior Analyst on CREO’s AI Engineering team. She is passionate about helping life sciences organizations adopt AI responsibly, turning emerging technologies into practical, compliant solutions that improve how teams work and help keep patients safe.
Before joining CREO, An built, evaluated, and governed AI systems at Amazon’s Artificial General Intelligence team, ISACA, F5, and Claritas. She designed safety evaluations and validation frameworks for large language models, deployed secure agentic AI systems, and built machine learning pipelines across millions of data points. Additionally, she pairs this technical depth with hands-on clinical and biopharmaceutical research. At the UC San Diego Skaggs School of Pharmacy and Pharmaceutical Sciences, she built data pipelines that uncovered multi-year health outcome trends tied to patient safety and therapeutic efficacy. She also spent several years in clinical neuroscience research labs, ensuring data quality and integrity and advancing machine learning analytics.
An holds a Master of Science in Business Analytics and a Bachelor of Science in Psychology with a concentration in Cognitive Neuroscience, both from California Polytechnic State University, San Luis Obispo, and has presented at conferences on AI assurance. Her blend of neuroscience, analytics, and engineering lets her approach AI initiatives with technical rigor and a clear understanding of the people and regulated processes they serve.
