About
I am a Postdoctoral Researcher and Deputy Group Leader at the Robert Koch Institute as part of the research group led by PD Dr. habil. Georges Hattab, where I work on artificial intelligence (AI) and data representation for applications in public health, biomedicine, bioinformatics, and various omics domains. My research includes developing deep‑learning methods that integrate complex biological data into meaningful, interpretable models, while also exploring novel machine- and human-readable data representations that support both predictive performance and expert understanding. I further investigate how visualization can support model assessment and debugging, designing interactive tools that help domain experts explore model behaviour, compare alternatives, and calibrate their trust in AI systems within realistic workflows. Beyond AI‑driven methods, I contribute to the field by developing supporting software and methodological tools that improve data handling, analysis workflows, and collaboration in bioinformatics, biomedical, and public health research.
Moreover, I successfully completed my Ph.D. journey under the guidance of Prof. Dr. Dominik Heider and PD Dr. habil. Georges Hattab as a Ph.D. candidate and Research Associate at the Philipps-Universität Marburg. During my doctoral studies, I conducted research focused on bioinformatics pipelines and tools, utilizing machine learning and various data science techniques. Additionally, I devoted my efforts to addressing the challenges associated with the development, implementation, evaluation, and visualization of automated workflows for information storage systems using molecular storage media, such as DNA. Detailed information about the project I contributed to can be found on the official project website. The culmination of my Ph.D. experience, along with notable research achievements, is documented in my Doctoral Dissertation titled “A Tale of Two Approaches: Comparing Top-Down and Bottom-Up Strategies for Analyzing and Visualizing High-Dimensional Data”.
Previously, I was the Technical Lead at Oxalis DeepBio GmbH (formerly eMedicals Healthtech GmbH) on kidi platform project. There, I guided the development of all parts of the product in order to fight nutrition-sensitive diseases by applying food as medicine. Our first product was kidiONE — a publicly available nutrition app that helps people with nutrition-sensitive diseases track and regulate their dietary habits. Our second product was kidiPRO — a prescription-only medical app that helps patients avoid malnutrition, increases drug adherence, supports blood pressure management, and enables the monitoring of the disease by the patient and by the physician. kidiPRO and kidiDOC products were being developed as prescription medical applications (Software as a Medical Device) according to all relevant regulatory standards (BfArM, FDA, ISO, and IEC).
Furthermore, I graduated from the Faculty of Mathematics, University of Belgrade, with a Master’s degree in Mathematics, module Computer Science and Informatics. I finished my Master’s degree studies with an average grade of 10.00 (out of 10.00) and with my Master’s Thesis “Determining protein N-glycosylation with machine learning methods”.
My complete curriculum can be found here.