CV

CV (pdf) 
Google Scholar
 

Academic Experience:

  • Assistant Professor - University of Waterloo, Department of Statistics and Actuarial Science (2022-present)
     

Education:

  • PhD, Actuarial Science, Risk Management, and Insurance - University of Wisconsin-Madison (2022)
  • BMath, Joint Honours Actuarial Science and Statistics - University of Waterloo (2016)
     

Professional Designations:

  • Associate of the Society of Actuaries (ASA) (2018)
     

Research Interests: 

  • Predictive modelling, insurance and risk analytics, dependence modelling
     

Publications:

  • Gao, L. and Shi, P. “Risk Modeling of Property Insurance Claims from Weather Events,” Revise & Resubmit, Journal of Risk and Insurance.
  • Gao, L. and Shi, P. (2022). “Leveraging High-Resolution Weather Information to Predict Hail Damage Claims: A Spatial Point Process for Replicated Point Patterns,” Insurance: Mathematics and Economics, 107(2022), pp. 161-179.
  • Gao, L. and Rosenberg, M. A. (2021). “Assessing the Causal Impact of Delayed Oral Health Care on Emergency Department Utilization,” North American Actuarial Journal, 25(1), pp. 40-52.
  • Frees, E. W. and Gao, L. (2020). “Predictive Analytics and Medical Malpractice,” North American Actuarial Journal, 24(2), pp. 211-227.
  • Cretu, D., Gao, L., Liang, K., Soosaipillai, A., Diamandis, E., and Chandran, V. (2018). “Differentiating Psoriatic Arthritis From Psoriasis Without Psoriatic Arthritis Using Novel Serum Biomarkers,” Arthritis Care & Research, 70(3), pp. 454-461.
     

Book Chapters:

Teaching:

University of Waterloo (Instructor)

  • ACTSC 363 - Casualty and Health Insurance Mathematics 1 (Winter 2024)
  • ACTSC 625 - Casualty and Health Insurance Mathematics (Winter 2024)
  • ACTSC 231 - Introductory Financial Mathematics (Winter 2023 4.46/5)

University of Wisconsin-Madison (TA)

  • GB 656 - Machine Learning for Business Analytics (Spring 2022)
  • RMI 300 - Principles of Risk Management (Fall 2021)
  • Graduate Teaching Improvement Program (2019-2022)
  • RMI 300 - Principles of Risk Management (Fall 2020 4.76/5, Spring 2021 4.93/5)
  • RMI 300 - Principles of Risk Management (Fall 2019 4.41/5, Spring 2020 4.76/5)
  • ACT SCI 652 - Loss Models I (Spring 2018)
  • GB 306 - Business Analytics I (Fall 2016 4.43/5, Spring 2017 4.63/5)


Invited Presentations:

  • Actuarial Research Conference (Invited Session) Climate Change: Models and Data (2023) - Risk Modeling of Hail Damage Insurance Claims Using a Factor Copula Regression for Replicated Spatial Data
  • Waterloo Conference in Statistics, Actuarial Science, and Finance (2023) - Risk Modeling of Hail Damage Insurance Claims Using a Factor Copula Regression for Replicated Spatial Data
  • Georgia State University Maurice R. Greenberg School of Risk Science Seminar (2023) - Insurance Claims Management for Spatially Correlated Weather Property Losses
  • University of Waterloo Statistics and Actuarial Science Student Seminar (2022) - A Spatial Factor Copula for Replicated Weather Property Insurance Loss Data
  • University of New South Wales School of Risk and Actuarial Studies Seminar (2022) - A Marked Spatial Point Process for Insurance Claims Management
  • The Ohio State University Mathematics Department Seminar (2022) - A Marked Spatial Point Process for Insurance Claims Management
  • University of Waterloo Statistics and Actuarial Science Department Seminar (2022) - A Marked Spatial Point Process for Insurance Claims Management
  • University of Wisconsin-Eau Claire Mathematics Department Seminar (2021) - Leveraging High-Resolution Weather Information to Predict Hail Damage Claims: A Spatial Point Process for Replicated Point Patterns
  • University of St. Thomas Mathematics Department Seminar (2021) - Leveraging High-Resolution Weather Information to Predict Hail Damage Claims: A Spatial Point Process for Replicated Point Patterns
  • Chinese University of Hong Kong Finance Department Seminar (2021) - Leveraging High-Resolution Weather Information to Predict Hail Damage Claims: A Spatial Point Process for Replicated Point Patterns


Contributed Talks:

  • Joint Statistical Meetings (2023) - Risk Modeling of Hail Damage Insurance Claims Using a Factor Copula Regression for Replicated Spatial Data
  • International Congress on Insurance: Mathematics and Economics (2023) - Risk Modeling of Hail Damage Insurance Claims Using a Factor Copula Regression for Replicated Spatial Data
  • Waterloo Student Conference in Statistics, Actuarial Science and Finance (2021) - Leveraging High-Resolution Weather Information to Predict Hail Damage Claims: A Spatial Point Process for Replicated Point Patterns
                (Presentation award)
  • Actuarial Research Conference (2021) - Leveraging High-Resolution Weather Information to Predict Hail Damage Claims: A Spatial Point Process for Replicated Point Patterns
                (Best student presentation award)
  • International Congress on Insurance: Mathematics and Economics (2021) - Leveraging High-Resolution Weather Information to Predict Hail Damage Claims: A Spatial Point Process for Replicated Point Patterns
  • Actuarial Research Conference (2019) - The Impact of Unmet Oral Health Needs on Hospital Emergency Department Utilization
           (Honorable mention presentation award)


Research Funding:

  • NSERC Discovery Grants, $135,000 CAD (2023-2028)
  • NSERC Discovery Launch Supplement, $12,500 CAD (2023)


Honours & Awards:

  • Waterloo Student Conference in Statistics, Actuarial Science and Finance Presentation Award (2021)
  • Actuarial Research Conference Best Student Presentation (2021)
  • Society of Actuaries James C. Hickman Scholar (2017-2021)
  • Wisconsin School of Business Distinguished Teaching Award (2017, 2020, 2021)
  • Wisconsin School of Business Graduate Scholarship (2016-2021)
  • Wisconsin School of Business Travel Award (2019, 2021)
  • Actuarial Research Conference Honorable Mention (2019)
  • University of Wisconsin-Madison Student Research Grants Competition Travel Award (2019)
  • University of Waterloo Mathematics Dean’s Honours List - With Distinction (2016)
  • NSERC Undergraduate Student Research Award (2014)
  • University of Waterloo President's Research Award (2014)


Service:

  • Referee for: Insurance: Mathematics and Economics, Journal of Risk and Insurance, European Actuarial Journal, Canadian Journal of Statistics
  • Organizer, Actuarial Science and Financial Mathematics Seminar Series (2023-2024)
  • Consultant, Math Strategic Framework, Faculty of Mathematics (2023)
  • Organizing Committee, Waterloo Conference in Statistics, Actuarial Science, and Finance (2023)
  • Admissions Committee, Master of Actuarial Science (2022-2024)
  • Panelist, CANSSI Ontario Job Market Advice (2022)
  • Social Media Assistant, Journal of Risk and Insurance (2020-2022)
  • Organizer, Wisconsin School of Business Teaching Improvement Program (2019-2022)
  • Panelist, Wisconsin School of Business PhD Proseminar (2017-2021)
  • Discussant, American Risk and Insurance Association Annual Meeting (2018) - "An analysis of period and cohort mortality shocks in international data,'' by David McCarthy and Po-Lin Wang
  • Panelist, DocNet Recruiting Forum (2018)


Student Supervision:

  • PhD: Yimiao Zhao (current, co-supervision with Fan Yang)
  • PhD committee: Yiping Guo (current)
  • MMath: Haya Anis Kamel (2022), Matthew Crane (2023), Qianyu Chen (2023), Mwasi Mboya (current) 


Professional Experience:

  • Actuarial Co-op, Segregated Fund Valuation - Manulife Financial, Waterloo (May-Aug 2015)
  • Actuarial Co-op, John Hancock Retirement Pricing - Manulife Financial, Toronto (Jan-Apr 2014)
  • Actuarial Assistant, Capital and Risk Management - Foresters, Toronto (May-Aug 2013)
  • Actuarial Assistant, Capital and Risk Management - Foresters, Toronto (May-Aug 2012)