About Me

Hello! 👋 I am David, a PhD student at the University of Amsterdam in the Intelligent Data Engineering Lab, focusing on data-centric AI. My experience spans both academic and professional settings, providing me with a solid grounding in data analysis and machine learning. I’m passionate about using data to uncover insights and foster progress.

Aside from my main focus, I’m also intrigued by the intersection of data science and biology, exploring bioinformatics whenever I can. When I’m not delving into data, you might find me making music, traveling, or staying active with sports.

Education

PhD student, University of Amsterdam (2024-Current)

• Supervised by Prof. Paul Groth and Dr. Hazar Harmouch

MSc Scientific Computing, University of Heidelberg (2021-2023)

• Thesis “Automated Extraction of Drug Analysis and Discovery Networks” graded 1.0 (Supervisor: Prof. Michael Gertz)

BSc Applied Computer Science, University of Heidelberg (2017-2020)

• Thesis “Extracting Knowledge Graphs from Biomedical Literature” graded 1.0 (Supervisor: Prof. Michael Gertz)

Work Experience

Research Intern, Molecular Health GmbH (2023)

• Developed and implemented an NLP pipeline using SVM classifiers, Relation Extraction, and NER for analyzing clinical trial data

Software Developer, Asthea (2021-2023)

• Constructed large-scale databases, employing tools like SQL, BigQuery, and Docker

Assistant Teacher, Data Science Group, University of Heidelberg (2021)

• Exercise and exam grading for the lecture “Database Systems”