Current Master Thesis Topics at DHC:

• Differential expression (DE) analysis of TCGA RNA-seq dataset and integrating all it as a reproducible workflow. Contact Dr. Alva Rani James
• Auto-Encoding for predicting the molecular pathways associated with lncRNAs in cancer ( aim students with data science and biology/genomics background). Contact Dr. Alva Rani James
• eTranslation – using natural language processing to translate health-related data. Contact Dr. Attila Wohlbrandt
• Creating Visual Summaries of Clinical Practice Guidelines with Natural Language Processing. Contact Florian Borchert
• Unsupervised Human 3D Pose Estimation for Clinical Use Cases. Contact Prof. Bert Arnrich
• Federated Learning in Medical Imaging. Contact Prof. Bert Arnrich
• Mental Health Early Warning System  Contact Prof. Bert Arnrich
• Integrative time series analysis: Data from a clinical cross-over study in intermittent fasting Contact Nico Steckhan
• Unpaired Cross-Modal Synthesis (Generation) using Generative Adversarial Networks (GANs). Contact Aiham Taleb
• Using reconstruction for unpaired images alignment. Contact Aiham Taleb
• Building a Text Embedding Model for the Imaging Research Warehouse at Mount Sinai  (Topic already 'reserved''). Contact Benjamin Bergner
• Lifelong Learning on Big Medical Imaging Data Contact Benjamin Bergner
• Detection of Brain Abnormalities in Multimodal 3D MRIs Contact Benjamin Bergner
• Precision Psychology via Machine Learning on EHR-data from the Mount Sinai Health System. Contact Dr. Hanna Drimalla
• Validation of a Digital Stress Test with Psychological and Physiological measures. Contact Dr. Hanna Drimalla

 If you have your own ideas for a possible thesis, please feel free to contact us to discuss your thoughts.

Further Topics to take part in our DHC research

• Automated Learning and Detection of Motion Patterns and Physical Exercise, Contact: Jan Philipp Sachs / Arpita Kappattanavar
• Analysis and creation of predictive models (using Machine Learning) based on Biosignals such as ECG (Electrocardiogram) and PPG (Photoplethysmography) in normal and hypertensive populations, Contact: Suparno Datta and Ariane Morassi-Sasso
• Collecting information from daily life through wearables for monitoring Cardio Vascular Diseases, Contact: Ariane Morassi-Sasso and Suparno Datta