Team

I joined Fraunhofer SCAI in October 2019 as a master’s student and I am currently doing my PhD. My current area of research is the use of machine learning methods for predicting disease progression in neurodegenerative diseases.
 

Projects: Real4Reg

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I am a researcher with a background in computer science who joined Fraunhofer SCAI in 2017. My research focuses on synthetic data, the application of language models, and scientific software development, with an emphasis on interactive dashboards and visualization approaches that support data-driven evaluation and decision-making.

Projects: Psych-STRATA, NFDI4Health

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With a background in computer science, I am now doing my PhD exploring applications of causal machine learning in the biomedical domain. In my current project, I am investigating the research hypothesis that a SARS-CoV-2 infection may increase the risk of developing neurodegenerative diseases later in life.
 

Projects: COMMUTE

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I am a PhD student at SCAI, where I work on causal inference and prior-fitted networks for medical applications. With a background in computational and data science, I joined the team in 2023 as a working student and went on to write my master’s thesis here, investigating how lifestyle factors causally influence the risk of Parkinson’s disease.
 

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With a background in both computer science and biology, I joined SCAI in 2022 for my bachelor’s thesis. I continued working at SCAI during my master’s degree and also completed my master’s thesis here. My work focuses on leveraging electronic health records to predict health outcomes using transformer models. In this context, I explore various transfer learning approaches, including domain adaptation techniques.
 

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I joined SCAI in September 2025 with a background in biomedical engineering and neuroscience. I am now doing a PhD as a Marie Skłodowska-Curie Actions (EU) doctoral researcher in the AIPD network. My research focuses on the use of Neural Differential Equations-based models to generate patient-specific counterfactual scenarios (ie, a digital twin) of Parkinson's Disease.

Projects: AIPD

Coming from neurobiology, I am now using data science and machine learning to tackle biomedical problems. My current project involves drug repositioning using deep learning methods.

Projects: ADIS

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I'm a senior data scientist/project manager, passionate about pursuing healthcare and life science scientific challenges that improve the understanding of human biology and diseases. My research focuses on developing AI methods to extract relevant biomedical interactions/relationships from unstructured data (e.g., scientific literature, clinical notes, and protein sequences).

Projects: IDERHA, industry project

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As an applied mathematician, I joined SCAI in 2025 with the intention of contributing to relevant applications of AI and data science in biomedicine. The objective of my current research is to apply AI methods to support regulatory decision-making based on real-world data.
 

Projects: Real4Reg

I joined the group as a post-doctoral researcher in 2024, driven by a passion for applying AI methods in healthcare to advance our understanding of human biology and disease. My current research focuses on developing AI models for individualized predictions and disease prognoses, aiming to enhance decision support and personalized patient care.
 

Projects: CERTAINTY

I joined Fraunhofer SCAI in December 2025 as a postdoctoral researcher. I focus on Personalized Federated Learning and Time-to-Event Models in healthcare. In the IDERHA project, I develop AI models to predict lung cancer risk and prognosis based on real-world data.

Projects: IDERHA

I'm a physicist and joined Fraunhofer in 2022 as a PhD student. My current research interest lies in combining dynamic and mechanistic models (e.g. ODEs) with methods from machine learning to predict, analyze and model pandemics such as COVID-19.
 

Projects: PREDICTOM

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As a senior scientist and project group leader at Fraunhofer SCAI, I develop digital biomarkers from real-world sensor data for clinical research. My work combines app-based data acquisition, multimodal sensors, and machine learning to create robust endpoints, particularly for neurodegenerative diseases. I aim to bridge the gap between research and real-world healthcare applications.

I joined Fraunhofer SCAI in October 2025 as a master’s student in Applied Mathematics. After completing my master’s thesis on reinforcement learning for personalized dosing strategies, I continued as a PhD researcher in October 2026. My research focuses on machine learning and reinforcement learning methods for pharmacometric applications.

I joined Fraunhofer SCAI in 2019, where I completed my master’s thesis and PhD studies in biomedical data science. As a postdoctoral researcher, I focus on data integration, patient stratification, predictive modeling, and federated learning in healthcare. In the EU project CERTAINTY, I develop AI models to support individualized treatment decisions and advance precision medicine.
 

Projects: CERTAINTY

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I am a physicist who joined Fraunhofer in 2026 as a postdoctoral researcher. My research focuses on mathematical modeling and explainable machine learning for biological systems. I currently work on genetic analysis and deep learning-based modeling of disease trajectories in psychiatric disorders and epilepsy, aiming to enable personalized treatment strategies.

Projects: Psych-STRATA

I am a mathematician and joined Fraunhofer SCAI in 2024 as a PhD student. My research focuses on developing generative AI models for the personalized prediction and simulation of patient trajectories as part of a digital twin.
 

Projects: CERTAINTY

I joined Fraunhofer SCAI in October 2025 as a PhD student. My primary research focus is on enhancing the generalizability of AI models for predicting cognitive decline in patients with Parkinson's disease.

Projects: AIPD

I am a biomedical engineer and joined Fraunhofer SCAI in June 2022 as a PhD student. My current research focuses on hybrid AI models to combine machine learning and pharmacological models to predict and analyze the effect of biomedical variables on patients' behavior for clinical studies.

Projects: Scientific Machine Learning, SYNTHIA

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Medical Biotechnologist turned Life Science Informatics researcher, currently completing my Master’s thesis on personalized federated learning, developing and evaluating AI approaches within the IDERHA project at Fraunhofer SCAI.

I am studying Life Science Informatics and am currently working on my master's thesis at Fraunhofer SCAI. The research in my thesis focuses on the development and use of structural causal models that employ neural stochastic differential equation (SDE) models to learn patient trajectories from observational data with time-varying treatments.

I am a Master's student in Computer Science and am currently working as a Student Assistant, developing scientific software for Fraunhofer SCAI. I'm interested in the application of AI and Algorithmics in the domain of medicine and the life sciences. My current project does exactly that, building software for doctors and clinicians to streamline the diagnosis and treatment of neurodegenerative diseases.

After studying Maths and Music, I am currently finishing my Masters degree in Data Science and Artificial Intelligence. My current project at SCAI involves finding an AI solution to the prediction of drug resistance in psychiatry.