Philipp Sterzinger
About me
I am a fourth year PhD student at the CDT in Mathematics and Statistics at Warwick and I am currently working on high dimensional regression problems and improved prediction methods with my supervisor Ioannis Kosmidis.
Outside of academia, I am an avid cross-country skier, rower and cyclist.
Publications and preprints
Statistics
– Sterzinger P, Kosmidis I (2023). Diaconis-Ylvisaker prior penalized likelihood for logistic regression (ArXiv)
– Sterzinger P, Kosmidis I (2023). Maximum softly-penalized likelihood for mixed effects logistic regression. Statistics and Computing (paper)
Medicine
– Pölzl L, Sterzinger P et al. (2024) Postoperative cardiac biomarker release is not associated with myocardial mass in computer tomography scans. Interdisciplinary Cardio Vascular and Thoracic Surgery (paper)
– Pölzl L, Lohmann R, Sterzinger P et al. (2024) Complexity of coronary artery disease and the release of cardiac biomarkers after CABG. Front Cardiovasc Med. (paper)
– Pölzl L, Engler C, Sterzinger P et al. (2023) Association of High-Sensitivity Cardiac Troponin T With 30-Day and 5-Year Mortality After Cardiac Surgery. Journal of the American College of Cardiology (paper)
– Pölzl L, Lohmann R, Theurl F, Puelacher C, Sterzinger P et al. (2024) Association of preoperative NT-proBNP levels with 30-day and five-year mortality after cardiac surgery, under review
– Pölzl L, Thielmann M, Sterzinger P et al. (2023) Sex-specific cardiac troponin and creatine kinase-MB thresholds to identify females at risk after CABG, under review
Presentations and Posters
– Ca' Foscari University 2024, March 2024, Venice, Italy. Seminar on Diaconis-Ylvisaker prior penalized likelihood in high-dimensional logistic regression
– JSM 2023, August 2023, Toronto, Canada. Presentation on Maximum softly-penalized likelihood for mixed effects logistic regression
– IWSM 2023, July 2023, Dortmund, Germany. Presentation on Bias reduced prediction for black-box models
– IWSM 2022, July 2022, Trieste, Italy. Presentation on Maximum softly-penalized likelihood for mixed effects logistic regression
– BFF 2022, May 2022, Toronto, Canada (online). Poster on Maximum softly-penalized likelihood for Bernoulli-response GLMMs
– Gregynog Statistical Conference, March 2022, Gregynog Hall, UK. Poster on Maximum softly-penalized likelihood for Bernoulli-response GLMMs
Education
– MSc Applicable Mathematics, London School of Economics, UK
– MPhil Economics, University of Cambridge, UK
– BA Economics, University of St. Gallen, SUI
Prizes
– Enrichment Scheme at the Alan Turing Institue, UK
– Haya Freedman Prize for best dissertation on the MSc Applicable Mathematics Programme
Contact: philipp.sterzinger
[at] warwick [dot] ac [dot] uk