معرفی
Anthony Almudevar is an Associate Professor in the Department of Biostatistics and Computational Biology at the University of Rochester Medical Center (URMC). His research integrates statistical methodologies with biological systems, focusing on genetics, bioinformatics, optimization theory, and technological motion data. He leads the development of software tools for graphical modeling and pedigree reconstruction, including the R library for statistical thresholds in graphical models (2008) and Pedigree Application (2007).
Education: Ph.D. in Biostatistics from the University of Toronto (1994).
Research interests span graphical modeling applications in cellular networks and population biology, optimization algorithms (particularly Markov decision processes), and motion data analysis for home monitoring systems. His work bridges computational methods with clinical and genetic research.
Recent articles emphasize pediatric infectious diseases, cytokine biomarkers for otitis media, and microRNA-based predictive models for hepatocellular carcinoma recurrence. His statistical contributions include advancements in multiple hypothesis testing and density approximations.
No scientific awards are explicitly mentioned in the text. Collaborations include studies on vaccine efficacy, antibiotic treatment outcomes, and renal health in transplant patients.
Advising and grants: No formal advising or grant details are provided. However, he contributed to the T32 Training Grant and co-authored studies involving interdisciplinary teams.
Labs/Teams: Collaborates within URMC’s Biostatistics and Computational Biology department, contributing to software development and statistical methodologies for medical research.
