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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 p over n to kappa between zero and one 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

portrait

Contact: philipp.sterzinger

[at] warwick [dot] ac [dot] uk