Danja Brandt

Danja Brandt is a Researcher at the Technische Universität Berlin, affiliated with the Data Science +X Graduate School. She currently serves as a research assistant in the project 'KInsekt' under the supervision of Prof. Dr. Ingeborg Beckers. Her work focuses on interdisciplinary applications of AI across multiple domains, including biodiversity, healthcare, and human-computer interaction.

Key projects include:

• Green AI & Biodiversity: 'KInsekt' (BMUV-funded) and 'GCA' (BMUV) addressing AI-driven biodiversity challenges
• Healthcare AI: Contributions to 'AnorexiaVR' (BMG), 'Outcome Prediction from Patient Letters', and clinical assertion classification
• Human-Computer Interaction: Projects like 'Human.VR.Lab' (BMBF) and 'WINK Gestensteuerung' (BMBF) exploring VR interfaces and gesture control

She collaborates with institutions like the Berlin Big Data Center and contributes to data quality research through projects such as 'SynthNet' (BMBF). No scientific awards or student advisees are explicitly listed in the provided information.