Solon Karapanagiotis

Research Associate
MRC Biostatistics Unit

University of Cambridge

About

I’m a researcher at the MRC Biostatistics Unit, University of Cambridge.

I’m interested in many areas across statistics, machine learning, and their interactions. My research focuses on tailored model development, that is targeted model building for a specific task of interest, mostly prediction.

I’m also developing and applying tools leveraging genomics to detect cancer earlier, which will ultimately lead to more personalized treatment for patients. Toward these goals, I draw from a wide range of disciplines, including molecular biology, computational biology, and medical oncology. More specifically, I’m looking at novel ways to incorporate liquid biopsies into the management of cancer. Liquid biopsies - the analysis of tumours using biomarkers circulating in fluids such as the blood - have the potential to change the way cancer is diagnosed, monitored, and treated.

Interests

Bayesian Methods
Biomedical Research
Statistical Computing
Statistical Modelling
Longitudinal Data Analysis
Statistical Learning
Machine Learning
Medical Decision Making
Predictive Modelling and Model Validation
Survival Analysis
Translational Genomics

People

2024
- Scott Hislop, Summer intern
- Zhijie Yao, MPhil Health Data Science
- Yawei Peng, MPhil Health Data Science
2023
- Martin Muniategui, Summer intern
- Normandie Hincks, MPhil Computational Biology
2022
- Shen Sia, MPhil Health Data Science
- Mark Farragher, MPhil Health Data Science
- Laura Zwiers, MPhil Health Data Science
- Dohun Lee, MPhil Computational Biology

Publications

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Stavrinides V, et al (2022). Regional Histopathology and Prostate MRI Positivity: A Secondary Analysis of the PROMIS Trial. In Radiology.

Source Document

Solon Karapanagiotis, Umberto Benedetto, Sach Mukherjee, Paul D W Kirk, Paul J Newcombe (2021). Tailored Bayes: a risk modeling framework under unequal misclassification costs. In Biostatistics.

Preprint Code Slides Source Document

Stavrinides V, et al (2021). False Positive Multiparametric Magnetic Resonance Imaging Phenotypes in the Biopsy-naïve Prostate: Are They Distinct from Significant Cancer-associated Lesions? Lessons from PROMIS. In EUROPEAN UROLOGY.

Source Document

Solon Karapanagiotis, Paul D. P. Pharoah, Christopher H. Jackson, Paul J. Newcombe (2018). Development and External Validation of Prediction Models for 10-Year Survival of Invasive Breast Cancer. Comparison with PREDICT and CancerMath. In Clinical Cancer Research.

Source Document

Solon Karapanagiotis, Simone Gambazza, Anna Brivio, Francesco D'Abrosca, Carla Colombo (2017). Ventilatory limitation and dynamic hyperinflation during exercise testing in Cystic Fibrosis. In Pediatric pulmonology, 52(1), 29-33.

Source Document

See all publications

Teaching

Lecturer (2022-2024) at the MPhil in Computational Biology, University of Cambridge.
Dissertation Supervisor (2022-2023) at the MPhil in Computational Biology.
Teaching Assistant and Dissertation Supervisor (2021-2024) at the MPhil in Population Health Sciences, University of Cambridge.
Supervisor Statistics IB, Lent 2019 (2nd year undergraduate course from the Department of Pure Mathematics and Mathematical Statistics, University of Cambridge).
This is the handbook for the course I teach as a Brilliant club tutor. The Brilliant Club is a charity aiming to increase the number of pupils from under-represented backgrounds progressing to highly selective universities.
The material is designed for Key stage 4 pupils but can be easily adapted to Key stage 5.

Cite this work as: Solon Karapanagiotis. Which bicycle lock should I buy? A journey to decision making under uncertainty, 2019.