Roger Li, Ph.D.

Roger Li, Ph.D., is a Senior Director in FTI Consulting’s Securities, Commodities & Derivatives practice. Dr. Li has more than a decade of experience applying advanced quantitative modeling, data engineering and artificial intelligence to economic consulting and complex financial decision-making.

At FTI Consulting, Dr. Li leads technical and quantitative workstreams on high-impact engagements spanning hedge fund litigation, antitrust analysis, valuation and advisory matters. He has authored expert reports and conducted independent technical analyses in high-profile disputes, evaluating industry-standard modeling infrastructure, including data architectures, analytics systems and model orchestration frameworks, and translating complex technical findings into clear, defensible conclusions for legal and executive audiences.

Dr. Li also supports clients on business and valuation-related matters through the design and application of advanced quantitative models. His work includes derivative and equity option valuation, portfolio analytics and simulation-based methods, as well as the development of reinforcement learning frameworks to support investment decision-making in dynamic market environments. Across these engagements, he balances technical rigor with practical judgment to ensure analyses are robust, transparent and fit for purpose.

Dr. Li has extensive experience applying machine learning and AI methods to real-world financial and data-intensive problems. His work spans supervised and unsupervised learning, time-series modeling, reinforcement learning and natural language processing, including the use of large language models to automate data extraction, normalization and analysis workflows. He has led the development of production-grade analytical systems, from cloud-based data pipelines to scalable modeling platforms and regularly advises clients on model design, validation and limitations.

Prior to joining FTI Consulting, Dr. Li was an Applied Scientist at Amazon Web Services, where he led the development of machine-learning and LLM-based systems supporting enterprise SaaS offerings in areas such as fraud detection and recommendation systems. Earlier in his career, he was a Vice President at Goldman Sachs, where he worked on credit risk analytics, capital modeling and regulatory initiatives, including the automation of internal credit rating processes and the development of firm-wide risk data pipelines. Dr. Li holds a Ph.D. in Mathematics and an M.S. in Electrical Engineering from The University of Texas at Austin, and a B.S. in Information Engineering from Shanghai Jiao Tong University. He has published research in peer-reviewed journals in financial mathematics and applied systems research.