Team

Scientists

 

Prof. Dr. Holger Fröhlich

 

Research interests: machine learning & statistical data mining with application to precision medicine, systems medicine and drug discovery.


Projects:
DIGIPD, NFDI4Health, VirtualBrainCloud, RADAR-AD, AIOLOS, ADIS, PsychSTRATA, CePPH, Real4Reg


All publications

 

Mohamed Aborageh

 

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

 

Tim Adams

 

I’m a Computer Scientist that joined SCAI in late 2017. My main research focus is the development of applications for exploration, evaluation and visualization of data in the biomedical domain.


Projects:
CePPH
 

All publications

 

Colin Birkenbihl

 

I am working at Fraunhofer SCAI Bio since 2017. My main research domain is the application of data science and artificial intelligence methods to clinical health data, currently in the context of neurodegenerative diseases.


Projects: VirtualBrainCloud, RADAR-AD
 

All publications


 

Jonas Botz

 

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: AIOLOS

 

Dr. Tom Hähnel

 

I am a physician who joined Fraunhofer SCAI in early 2023. My main focus is clinical research in Parkinson's disease using machine learning and statistical methods. My current project is about identification and prediction of different progression types in Parkinson's disease.


Projects:
ParKInson Predict

 

Sophia Krix

 

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

 

Manuel Lentzen

 

I am a quantitative biologist and joined Fraunhofer SCAI in 2020 as a Ph.D. student. My research focuses on the generation and application of pre-trained language models for German text data from the clinical domain.


Projects: AIOLOS


All publications

 

Sumit Madan

 

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

Projects: AIOLOS

All publications

 

Hwei Geok Ng

 

I am a data scientist at the AI-DAS group of Fraunhofer SCAI since June 2021. My research involves applying generative neural network models to synthesize longitudinal patient data.
 

Projects: NFDI4Health

 

Sabyasachi Patajoshi

 

I am a computer scientist by formal training; broadly, my interests lie in recognizing and deciphering patterns in the sequence and structure of proteins, small molecules and interactions between them. My research at SCAI focuses on the development of deep learning methods for solving problems in the area of targeted protein degradation.

 

Tamara Raschka

 

I am an applied mathematician working in Fraunhofer since 2015, currently doing my PhD. My research focuses mainly on the application of machine learning algorithms to gene expression data and its possibilities for precision medicine.


Projects:
Zentrum für Maschinelles Lernen, DIGIPD


All publications

 

Diego Valderrama

 

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

Bachelor & Master Students

 

Aya Abdelbaky

 

Johanna Driver

 

Sergei Kuznetsov

 

Zexin Li

 

Mohamed Maghoub

 

Srividhya Sainath

 

Jackrite To

 

Danqi Wang

 

Johannes Wohlenberg