Chudamani Poudyal

Chudamani Poudyal is an Assistant Professor in the Department of Statistics and Data Science at the University of Central Florida, College of Sciences. He earned his PhD in Mathematics from the University of Wisconsin-Milwaukee in 2018 and has held prior academic positions at Tennessee Tech University and the University of Wisconsin-Milwaukee. He is also an Associate of the Society of Actuaries (ASA).

Education:

• PhD in Mathematics, University of Wisconsin-Milwaukee, 2018
• MS in Mathematics, New Mexico State University, 2013
• MA in Mathematics, Central Department of Mathematics, Tribhuvan University, Nepal, 2009
• BA in Mathematics, Tribhuvan University, Nepal, 2005
• BEd in Mathematics Education, Tribhuvan University, Nepal, 2004

His research lies at the intersection of Actuarial Science, Robust & Computational Statistics, Statistical Learning, Big Data Analytics, and Stochastic Optimization. He develops robust statistical methods for modeling insurance loss severity under challenging data conditions such as truncation and censoring. His work emphasizes reliable parameter estimation and predictive modeling in actuarial contexts.

The recent publications demonstrate a consistent focus on robust parametric estimation for heavy-tailed distributions like lognormal and Pareto, especially under data limitations. His methodologies, such as trimmed and winsorized moments, aim to improve model reliability and reduce sensitivity to outliers in insurance data.

Scientific Awards:

• Mark Lawrence Teply Award, University of Wisconsin-Milwaukee (Spring 2018)
• First Place Prize, Student Presentation, 52nd Actuarial Research Conference (Summer 2017)
• Erasmus Mundus Europe-Asia Scholarship for ALGANT Program (Spring 2011)

Dr. Poudyal actively presents his research at major actuarial and statistical conferences, including the Actuarial Research Conference (ARC), Insurance: Mathematics and Economics (IME), and International Conference on Robust Statistics (ICORS). He has delivered invited talks at institutions like Purdue University, The Ohio State University, and Tribhuvan University. Though no advisees are listed, his engagement in graduate-level teaching and research suggests involvement in mentoring. He is affiliated with professional societies including the American Statistical Association (ASA), Society of Actuaries (SoA), and Casualty Actuarial Society (CAS).