Summary
Phong Tran is a Senior Data Engineer specializing in model assurance for financial crimes analytics, bringing eight years of experience at the intersection of AI/ML research and regulated finance. He has validated and governed mission-critical models across major institutions—designing SR 11-7–aligned frameworks and independently validating detection, NLP, computer vision, RAG, and agentic systems at scale. Phong’s background includes a PhD in Computational and Applied Mathematics and high-impact postdoctoral research where he accelerated optimal transport algorithms 100x and developed novel multi-omics classification methods, demonstrating both deep theory and production optimization skills. He’s proven at translating cutting-edge generative AI and anomaly-detection techniques into auditable, risk-managed deployments for enterprise use. Based in New York, he blends rigorous quantitative research with pragmatic governance to ensure models are both performant and compliant.
9 years of coding experience