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Ph.D., Mathematics with a Concentration in Actuarial Science and Risk Analytics.

University of Illinois Urbana-Champaign, USA.

M.S., Actuarial Science.

University of Illinois Urbana-Champaign, USA.

B.S., Mathematics and Applied Mathematics.

Nankai University, China.

• James C. Hickman Scholar Doctoral Stipend, Society of Actuaries.
• PARM Summer Research Fellowship, University of Illinois Urbana-Champaign.

• Esther Portnoy Actuarial Science Scholarship, University of Illinois Urbana-Champaign.
• Teachers Ranked as Excellent by Their Students, University of Illinois Urbana-Champaign.

• The 57th Actuarial Research Conference Presentation Prize, Society of Actuaries.
• Illinois Risk Lab Award, University of Illinois Urbana-Champaign.
• State Farm Actuarial Science Scholarship, University of Illinois Urbana-Champaign.

• The 56th Actuarial Research Conference Presentation Prize, Society of Actuaries.

NLP-Powered Repository and Search Engine for Academic Papers, A Case Study on Cyber Risk Literature with CyLit

• The 27th International Congress on Insurance, Mathematics and Economics, Depaul University, Chicago, USA.

NLP-Powered Repository and Search Engine for Academic Papers, A Case Study on Cyber Risk Literature with CyLit.

• The 58th Actuarial Research Conference, Drake University, Des Moines, USA.

Improving Business Insurance Loss Models by Leveraging InsurTech Innovation

• National Center for Supercomputing Applications Student Conference, University of Illinois Urbana- Champaign, Champaign, USA.

Improving Business Insurance Loss Models by Leveraging InsurTech Innovation

• The 58th Actuarial Research Conference, University of Illinois Urbana-Champaign, Champaign, USA.

Improving Business Insurance Loss Models by Leveraging InsurTech Innovation

• The Risk Analytics Symposium 2022, University of Illinois Urbana-Champaign, Champaign, USA.

Imbalanced Learning using Actuarial Modified Loss Functions in Tree-based Models

• The 2nd Waterloo Student Conference in Statistics, Actuarial Science and Finance, University of Waterloo, Waterloo, Canada.

Imbalanced Learning using Actuarial Modified Loss Functions in Tree-based Models

• The 56th Actuarial Research Conference, DePaul University, Chicago, USA.

Imbalanced Learning using Actuarial Modified Loss Functions in Tree-based Models

• The 24th International Congress on Insurance, Mathematics and Economics, University of Illinois Urbana-Champaign and Pennsylvania State University in United States, Ulm University in Germany, and the University of New South Wales (UNSW Sydney) in Australia.

• Spatiotemporal Modeling on Foot Traffic Data to Unlock Auto Insurance Geo-risks
• COUNTRY Financial Business Owner's Policy (BOP) Loss Predictive Model

• COUNTRY Financial Business Owner's Policy (BOP) Loss Predictive Model
• Pekin Insurance General Liability Insurance (GL) Loss Predictive Modeling

• AI-Powered Lifecycle Financial Planning
• Measuring Intra-day Systemic Risk in High-frequency Order Books