Dr Andy Li Bank of America Director & Fordham Professor
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Cornell Financial Engineering 2026 Ai & Future of Finance Conference
Dr Andy Li is a senior AI and quantitative finance leader with deep experience spanning financial services, technology, and higher education. He currently serves as Director at Bank of America, where he leads enterprise model risk management for machine learning and generative AI systems. His work focuses on mitigating risks related to AI hallucinations, bias, privacy, security, and intellectual property, while ensuring responsible deployment aligned with large scale regulatory and governance standards.
In parallel, Dr Li is an Adjunct Professor at the Fordham Gabelli School of Business, where he designs and teaches a graduate level course on Large Language Models and Agentic AI in Finance. The course emphasizes real world deployment of transformers, retrieval augmented generation, and multi agent systems for financial analysis, compliance automation, and risk evaluation. His teaching bridges NLP foundations with hands on implementation using LangChain and LangGraph, grounded in ethical AI and financial governance.
Previously, Dr Li held senior applied science and leadership roles at Amazon, Wells Fargo, Robert Half, Deutsche Bank, Moody’s Analytics, Citi, and Bank of America Merrill Lynch. He has led large cross functional teams of data scientists, engineers, and product managers, delivering production AI systems across advertising optimization, customer experience, credit risk, fraud, NLP, computer vision, and quantitative trading. His work includes large scale ensemble modeling, deep learning, sentiment analysis, and deployment of AI systems in regulated environments.
Dr Li holds a PhD and MS in Chemical Engineering from Carnegie Mellon University, with multiple first author publications. He also earned a Master’s in Financial Engineering from UC Berkeley Haas, an MS in Computer Science from Georgia Institute of Technology, an MBA from Quantic School of Business and Technology, and an Executive MBA from Harvard Business School. His background uniquely combines rigorous scientific research, quantitative finance, and applied AI leadership.
Dr Li is recognized for his ability to translate advanced AI research into production systems that balance innovation, risk management, and ethical responsibility.
