معرفی
Jun Ma is an Associate Professor in the School of Mathematical and Physical Sciences at Macquarie University, specializing in statistical methodologies with applications in medical and computational domains. His research focuses on survival analysis, penalized likelihood estimation, and statistical modeling for complex data structures such as interval-censored and time-varying covariates. He has led projects including 'Scientific computations and their applications in statistics' and 'Preventing patient harm in hospitals: automatic real-time detection of adverse drug events,' demonstrating interdisciplinary collaboration.
- Education: While specific academic degrees are not detailed, his extensive research output indicates advanced training in statistics and biostatistics.
- Research Interests: Development of penalized likelihood methods for survival analysis, competing risks, and statistical algorithms for medical imaging and tomography. His work bridges theoretical statistics with practical applications in healthcare and clinical trials.
Ma has contributed to over 50 peer-reviewed publications, with recent work emphasizing semiparametric models and interval-censored data analysis. His 2023 Faculty of Science and Engineering Award for Inter-School Collaboration highlights his ability to foster collaborative research across disciplines.
- Grants & Projects:
- Active: 'Scientific computations and their applications in statistics' (2018–present)
- Ongoing: 'Preventing patient harm in hospitals' (2017–present)
- Past: 'From joint survival modelling to blind deblurring' (2014–2015)
- Labs/Teams: Engaged in interdisciplinary teams focusing on medical data analytics and statistical computing, contributing to software development like the 'survivalMPL' R package.
