I am a fifth year PhD student at the Department of Translational Surgical oncology, NCT/UCC Dresden. My PhD research explores machine learning-based solutions to solve challenges related to the prediction of post-treatment patient outcomes. My academic interests lie at the intersection of machine learning and geometry, with a focus on their applications to address real-world scientific challenges. Recently, I have developed an interest in causal discovery methods for improving outcome prediction.

Research Interests

Machine learning and geometry, causal discovery, outcome prediction, survival analysis

News

[June 2024] Our ICLR workshop poster was featured in RSIP vision’s under ICLR special

[April 2024] Our project on the prediction of post-operative pancreatic fistula prediction was showcased at the Dresden Clinical AI Day

[March 2024] Our paper Contrastive Poincaré Maps for single-cell data analysis was accepted at the ICLR MLGenX workshop

[May 2023] Our paper Prediction of clinically relevant postoperative pancreatic fistula using radiomic features and preoperative data is online at Scientific Reports