معرفی
Christopher Beck, PhD, is an Associate Professor with joint appointments in the Department of Biostatistics and Computational Biology, Department of Neurology, Department of Orthopaedics, and the Center for Health and Technology at the University of Rochester School of Medicine and Dentistry. His research focuses on statistical methodologies for diagnostic test evaluation, including ROC curve analysis and change-point problems, with applications in neurology and orthopaedics. He collaborates extensively on trials for Parkinson's, Huntington's, and cardiovascular diseases.
Education: B.A. in Mathematics (1997) and M.A. in Statistics (1999) from SUNY Buffalo; M.A. (2000) and Ph.D. in Statistics (2005) from University of Rochester.
Research Interests:
- Statistical methods for multi-class diagnostic tests
- Clinical trials in neurodegenerative and cardiovascular diseases
- Telemedicine applications for Parkinson's disease
- Immunological outcomes in orthopaedic infections
- Health technology integration
Key Contributions:
- Developed ROC surface methodology for trichotomous outcomes
- Co-led national trials on virtual care models for Parkinson's disease
- Investigated arrhythmia risk in implantable defibrillator patients
Awards: Recipient of the Richard A. Brand Award (2015), Outstanding Graduate Student Teacher (2013), and NIH Ruth L. Kirschstein Fellowship (2000-2004).
Professional Roles: Serves on interdisciplinary teams studying neurotoxicant effects on child neurodevelopment and leads biostatistical consultation for clinical studies across multiple departments.
