Rate My Professor Gao Niu

Gao Niu serves as Department Chair and Associate Professor of Actuarial Science in the Mathematics and Economics Department at Bryant University. He earned his Ph.D. from the University of Connecticut, M.S. from Western Illinois University, and B.S. from Iowa Wesleyan College. In January 2023, Niu received tenure and promotion in recognition of his academic contributions to the Bryant University community. His scholarly work spans actuarial science, financial planning, big data applications, and interdisciplinary topics. Notable publications include Niu, G., Vadiveloo, J., Lakenbach, C., 'A Financial Protection Strategy for Families that Have a Child with Down Syndrome,' Journal of Financial Counseling and Planning (2018); Niu, G., Bishop, J., Quinn, J., 'Quantitative Comparison of US Private Employers’ Defined Benefit Plans,' Journal of Financial Counseling and Planning (2022); Vadiveloo, J., Niu, G., Valdez, E. A., Gan, G., 'Unlocking Reserve Assumptions Using Retrospective Analysis,' Springer (2017); Segall, R. S., Niu, G., 'Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities,' IGI Global (2020); Niu, G., Vadiveloo, J., Quinn, J., 'Skill-based Call Center Agent Allocation Optimization,' Asia-Pacific Journal of Operational Research; Liang, J., Leng, Q., Hofig, D., Niu, G., Wang, L., Royer, D., Burke, K., Xiao, L., Zhang, Y., Yang, H., 'Constraining conifer physiological parameters in leaf gas-exchange models for ancient CO2 reconstruction,' Global and Planetary Change (2022); Segall, R. S., Niu, G., 'Big Data and Its Visualization with Fog Computing,' International Journal of Fog Computing (2018); and Zywiak, W. H., Bobroff, R., Niu, G., 'Black Swan Years in American English, French, German, Hebrew, and Russian: Years that Reverberate in Ngram Viewer,' Advances in Historical Studies.

Niu's research interests encompass property and casualty pricing, property and casualty reserving, retirement planning, and machine learning. Additional works feature collaborations on predictive modeling, such as Lamere, A. T., Nguyen, S., Niu, G., Olinsky, A., Quinn, J., 'Predicting the length of stay in hospital emergency rooms in Rhode Island,' Emerald Publishing Limited; Nguyen, S., Niu, G., Quinn, J., Olinsky, A., Ormsbee, J., Smith, R., Bishop, J., 'Detecting non-injured passengers and drivers in car accident: A new under-resampling method for imbalanced classification,' Emerald Group Publishing (2019); and Segall, R. S., Cook, J. S., Niu, G., 'Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing,' International Journal of Fog Computing. He has participated in Faculty Innovation Grants, including 'The Lego Math Game for Actuarial Exam P,' and appeared in the Bryant Faculty Spotlight podcast discussing financial protection strategies.