معرفی
Chris Holmes is a Professor of Biostatistics at the University of Oxford and Programme Director for Health and Medical Sciences at The Alan Turing Institute. His work bridges Bayesian statistics, machine learning, and genomic sciences, with cross-appointments in the Department of Statistics and the Nuffield Department of Clinical Medicine through the Wellcome Trust Centre for Human Genetics. He is affiliated with St Anne's College and actively leads research in Statistical Genomics under a Medical Research Council Programme Leaders Grant.
- PhD in Bayesian statistics from Imperial College London
- Former postdoctoral researcher and lecturer at Imperial College
- Industry experience in scientific computing for defense and SCADA systems
Research Interests: Focus on Bayesian statistics, nonparametric methods, genetic epidemiology, and treatment effect heterogeneity. His methodologies address challenges in malaria pharmacodynamics, health equity in medical devices, and pandemic preparedness.
Publication Trends: Recent work applies machine learning to reclassify multiple sclerosis progression, analyze genomic data for health equity, and develop tools for emergency admission prediction in Scotland. Collaborative efforts span Nature Medicine, Nature Reviews Genetics, and Trials.
Scientific Awards:
- Medical Research Council Programme Leaders Grant in Statistical Genomics
Advising: Mentors PhD students Oscar Clivio, Sahra Ghalebikesabi, and Natalia Garcia Martin in areas like Computational Statistics and Statistical Genetics.
