John Liechty

John Liechty is a Professor of Marketing and Statistics at the Smeal College of Business, Pennsylvania State University. He holds a Ph.D. in Mathematical Statistics from the University of Cambridge (1998) and advanced degrees from Brigham Young University. His research spans statistical methodology, financial modeling, and marketing analytics, with notable contributions to option pricing, asset allocation, and systemic risk monitoring. He serves on editorial boards for journals like Marketing Science and Quantitative Finance.

Education:

• Ph.D. in Mathematical Statistics, University of Cambridge, 1998
• M.S. in Statistics, Brigham Young University, 1993
• B.S. in Applied Physics, Brigham Young University, 1991

Research Interests: Liechty’s work combines statistical innovation with practical applications in finance and marketing. Key areas include:

• Bayesian methods and Markov Chain Monte Carlo (MCMC) algorithms
• Financial risk modeling and systemic risk analysis
• Public goods economics and incentive-aligned mechanisms
• Data reduction techniques and large-scale data analysis
• Marketing research methodologies, including conjoint analysis and web path analysis

Professional Activities:

• Founder, Committee to Establish the National Institute of Finance (CE-NIF)
• Researcher, U.S. Department of Treasury’s Office of Financial Research (2013–2016)
• IBM Research Fellow (2010–2012)
• Consultant to financial firms like Morgan Stanley and Goldman Sachs

Awards:

• Fellow of the American Statistical Association (2011)
• Fellow of the Royal Statistical Society (1999)
• IBM Faculty Fellow (2011)

Teaching: Courses include Marketing Research (MKTG 342), Marketing Strategy (MKTG 450W), and Business Statistics (BA 815).