Zheng Roger Li

About Zheng Roger Li

I am a technical expert in economic and business consulting, with experience applying advanced modeling, data engineering, and AI methods to high-stakes litigation, valuation, and financial decision-making.My work spans antitrust and hedge-fund disputes, complex financial valuations, and AI-driven analytics, where I design and evaluate data pipelines, quantitative models, and analytical frameworks that must be both technically rigorous and defensible to legal, regulatory, and executive audiences.I have led technical initiatives at FTI Consulting, Amazon Web Services, and Goldman Sachs, covering a broad range of applied problems: large-scale data engineering for litigation and antitrust analysis; stochastic volatility and option-based valuation models; reinforcement learning for portfolio optimization; and machine-learning systems for fraud detection and recommendation. Across these engagements, my role has consistently been to own the technical substance while translating results into clear, decision-relevant conclusions.Core areas of focus- Design and review of quantitative models for valuation, risk, and economic analysis, including derivatives pricing and simulation-based methods- Development of production-grade data and AI systems, from cloud-based pipelines to applied machine learning and large-language-model workflows- Bridging technical and non-technical domains by explaining complex models, assumptions, and limitations to counsel, regulators, and senior management.My academic background is in mathematics and electrical engineering, with publications in financial mathematics and applied systems research. I continue to focus on applied quantitative and AI methods where technical correctness, transparency, and real-world impact matter.

Experience

1. Senior Director

   FTI Consulting

   Jan 2024 — Present · New York, NY, US

   Lead technical and quantitative workstreams across economic, litigation, and business consulting engagements, including antitrust disputes, hedge fund technology assessments, and complex financial valuations- Co-author expert reports and provide independent technical opinions in high-profile hedge fund and antitrust litigation, translating complex data architectures, analytics systems, and modeling frameworks into clear, defensible conclusions for courts and regulators- Design and own production-grade data and analytics pipelines (AWS) supporting reproducible economic analysis and expert testimony under legal scrutiny- Develop AI-driven data extraction and transformation workflows, including LLM-based schema mapping and structured data generation, delivered as client-facing proof-of-concepts to accelerate analysis across heterogeneous data sources- Deliver advanced quantitative modeling and valuation analyses, including stochastic volatility–based option valuation, preferred equity valuation, and reinforcement learning–based portfolio analytics, supporting executive and investor decision-making- Advise counsel, executives, and investors on model design, assumptions, and limitations; mentor and lead cross-functional teams of economists, data scientists, and engineers.

Education

• The University of Texas at Austin

  Doctor of Philosophy - PhD, Mathematics

  2011 — 2017

• The University of New Mexico

  Exchange Student, Electrical Engineering

  2008 — 2008

• The University of Texas at Austin

  MS, Electrical and Computer Engineering

  2009 — 2011

• Shanghai Jiao Tong University

  BS, Information Engineering

  2005 — 2009

Skills

• Python
• Latex
• Mathematical Modeling
• Matlab
• C
• Programming
• Optimization
• Signal Processing
• Mathematica
• Research
• Machine Learning
• Mandarin
• Statistical Modeling
• Simulations
• Data Analysis
• Algorithms
• C++
• Monte Carlo Simulation
• Numerical Analysis
• Statistics
• Data Mining
• R