Liang Hong

Liang Hong is a Professor in the Department of Mathematical Sciences at the University of Texas at Dallas (UT Dallas), affiliated with the School of Natural Sciences and Mathematics. His expertise spans actuarial science, data science, and risk analysis. He holds a PhD in Mathematics from Purdue University (2009), an MS in Applied Statistics from Purdue University Indianapolis (2005), and a BA in Economics from Shanghai University of Finance and Economics (2000).

His research focuses on Actuarial Science, Insurance Data Science, Bayesian Analysis, Machine Learning, Operations Research, and Multiple Target Tracking. He has received multiple awards, including grants from the Casualty Actuarial Society, Society of Actuaries, and State Farm Insurance Company, along with a prestigious President's Faculty Distinguished Achievement Award in 2016.

• Education:
• PhD in Mathematics, Purdue University (2009)
• MS in Applied Statistics, Purdue University Indianapolis (2005)
• BA in Economics, Shanghai University of Finance and Economics (2000)
• Key Awards:
• CAS & SOA Individual Grant (2021)
• Society of Actuaries Individual Grant (2016)
• President's Distinguished Achievement Award (2016)