Ray Fu

Dr. Rui (Ray) Fu

PhD, PStat
Pronouns: she/her/elle

Affiliations

Ohlson Professor in Health Economics

Ohlson Research Initiative

Assistant Professor

Cumming School of Medicine, Department of Community Health Sciences

Assistant Professor

Cumming School of Medicine, Department of Oncology

Assistant Professor

Cumming School of Medicine, Department of Surgery

Member

Arnie Charbonneau Cancer Institute

Member

O'Brien Institute for Public Health

Contact information

Web presence

Preferred method of communication

Admin Assistant

Marcia Garcia

Email: marcia.garcia@ucalgary.ca

Office: 403.220.2481

Background

Credentials

Professional Statistician (P.Stat), Statistical Society of Canada/Société statistique du Canada,

Educational Background

PhD Health Economics, University of Toronto,

MSc Health Economics, University of Toronto,

Honours BSc Mathematics and Statistics, University of Toronto,

Biography

Dr. Rui (Ray) Fu is a health economist, biostatistician, and assistant professor at the Departments of Community Health Sciences, Surgery & Oncology and the Ohlson Research Initiative, a group dedicated to cancers of the head and neck. She received her MSc (2016-2018) and PhD (2018-2021) in health economics from the University of Toronto and completed Postdoctoral training in Evaluative Clinical Sciences (2021-2024) at Sunnybrook Research Institute of Sunnybrook Health Sciences Centre. She is a quantitative methodologist with extensive experience applying statistical methods on health administrative data and working collaboratively with clinicians and policy decision-makers.

Research

Areas of Research

Health Economics
Applied Econometrics
Machine Learning
Health Services Research
Cancer Outcomes
Head & Neck Cancers
Summary of Research

Ray’s research focuses on cancer outcomes, including patient experience and economic consequences (for patients, system, and society) to provide insights on optimization of healthcare resource allocation. Ray applies her expertise in advanced statistics, including econometrics and machine learning, to answer meaningful questions that could lead to real-world quality improvement initiatives.

Publications

  • Surgical quality assurance. Eskander A, Fu R, Enepekides DJ, Wright FC, Irish JC. Stell & Maran’s Head and Neck Surgery and Oncology (6th ed). 10.1201/9781003515227-50. (2024)
  • The intersection of prescription drugs and medical devices: the evaluation and funding challenges of two categories of emerging health technologies. Rodrigues C, Fu R, Ghose T, Yurga E, Nauenberg E. International Journal of Technology Assessment in Health Care. 10.1017/S0266462324004768. (2024)
  • Primary tumor volume and survival in T3 glottic cancer treated with radiotherapy: a study of the Canadian Head & Neck Collaborative Research Initiative. Malik N, Fu R, Hainc N, Noel C, de Almeida J, Hosni A, Huang SH, Yu E, Dzioba A, Leung A, MacNeil D, Nichols AC, Chakraborty S, Johnson-Obaseki S, Schramm D, Whelan J, Forghani R, Hier MP, Morand G, Sultanem K, Dort J, Lysack J, Matthews W, Nakoneshny S, Gill G, Globerman A, Kerr P, Maralani P, Karam I, Eskander A. JAMA Otolaryngology – Head & Neck Surgery. 149(2): 103-109. 1001/jamaoto.2022.3996. (2023)
  • The protective role of adjuvant radiotherapy in low- and intermediate-grade major salivary gland malignancies: a Canadian Head & Neck Collaborative Research Initiative study. Morand GB, Eskander A, Fu R, de Almeida J, Goldstein D, Noroozi H, Hosni A, Seikaly H, Tabet P, Pyne JM, Matthews TW, Dort J, Nakoneshny S, Christopoulos A, Bahig H, Johnson S, Nichols A, Laxague F, Cecchini M, Du J, Shapiro J, Husain ZA, Dziegielewski PT, Hanubal K, Erovic B, Grasl S, Davis J, Monteiro E, Gete M, Witterick I, Sadeghi N, Richardson K, Shenouda G, Maniakas A, Landry V, Gupta M, Mlynarek AM, Pusztaszeri M, Sultanem K, Hier MP. Cancer. 129(20):3263-3274. 10.1002/cncr.34932. (2023)
  • Cancer incidence detection during multiple waves of COVID-19: the tsunami after the earthquake. Fu R, Sutradhar R, Li Q, Hanna T, Chan KKW, Irish JC, Coburn N, Hallet J, Dare A, Singh S, Parmar A, Earle CC, Lapointe-Shaw L, Krzyzanowska MK, Finelli A, Louie AV, Look Hong NJ, Witterick IJ, Mahar A, Urbach DR, Gomez D, McIsaac DI, Enepekides D, Eskander A. Journal of the National Comprehensive Cancer Network. 20(11):1190-1192. (2022)
  • A machine learning approach to identify predictors of frequent vaping and vulnerable Californian youth subgroups. Fu R, Shi J, Chaiton M, Leventhal A, Unger JB, Barrington-Trimis J. Nicotine & Tobacco Research. 24(7):1028-1036. 10.1093/ntr/ntab257. (2022)
  • Inferring causality from observational studies: the role of instrumental variable analysis. Fu R and Kim SJ. Kidney International. 99(6):1303-1308. 10.1016/j.kint.2021.03.018. (2021)