Samir Warty specializes in applying financial economics, econometric methods, and statistical analysis to complex issues arising in litigation and business disputes. Dr. Warty has extensive experience providing expert testimony and analysis on statistical sampling, econometric modeling, and economic damages, and he supports clients through all phases of the litigation lifecycle, including discovery, expert reports, deposition, and trial. He has been designated as an expert and testified in state and federal courts in matters involving statistical and economic issues.
Dr. Warty’s practice spans a broad range of engagements, including class certification, damages estimation, and liability analysis across industries such as financial services, insurance, and technology. He has substantial expertise in large-scale data analysis, the design and evaluation of survey research and statistical sampling methodologies, and machine learning techniques applied to complex datasets. His experience also includes the valuation of complex financial instruments, assessment of market efficiency and alleged market manipulation, and analysis of structured financial products, including residential mortgage-backed securities and derivatives.
In addition, Dr. Warty has advised on issues involving intellectual property, including the analysis of irreparable harm, consumer confusion, and damages in trademark, trade secret, and patent disputes. He has also addressed economic and statistical questions in matters involving data privacy, fair lending, and commercial contract disputes.
Prior to joining Secretariat, Dr. Warty spent over 15 years at a global economic consulting and strategy firm, where he served as a Vice President and led complex litigation consulting engagements. Earlier in his career, he was a lecturer and researcher at the University of Chicago Booth School of Business, where he taught and conducted research in econometrics and statistics. His research has been published in peer-reviewed journals, including Applied Stochastic Models in Business and Industry.