Part of the CIAN group, which is an AI research lab and focuses on image-guided therapy, medical image analysis, tracking systems for robotic laser surgery as well as virtual and augmented reality.My projects are about using Deep-Learning and Machine Learning methods for medical applications such as image segmentation, classification and regression models.- Segmentation Models for Medical Data- Large Language Models for Medical Data- Classification and Regression Models for Medical Data

- Maintenance of SQL databases and different Types of Data sets (GPS, Audio, Assessments, etc.) -> Using Python, R, MySQL- Preparation of Data, Input Management and Analysis of different Data Structures -> Using Python, R- Statistical Analyses and Evaluations for Researching Purposes -> Using Python, R- Natural Language Processing and Named Entity Recognition (NLP & NER) - Encrypting and Decrypting Files

- Web Scraping using Python

- Conception and implementation of the tutorial that accompanies the seminar- Preparing Tasks and Exercise sheets for the Course- Teaching R - Teaching Statistical methods

- Implementation of API`s - Working collaboratively in Softwareengineering Projects- Automating statistical analyses- Implementation of Machine learning procedures

- Development of a pipeline that provides standardized labels for all 5000+ signatures (e.g. all signatures representing activation of CD8 T-Cells)-> Using Python- Development of an extension to the signature analysis method (e.g. GSEA, multiGSEA, bioQC) able to give a call for whether a state (e.g. activation of CD8 T-Cells) is seen in transcriptome profiles of interest, after considering the output from the standard method for all available signatures representing that state-> Using Python (NLP)- Developing an user Interface-> Using Python, R - Improving the interface for holistic querying of the signature database (GEMS) - MongoDB, MSigDB

- Learning the basics of Data Analyzing - Hands on approach in Statistical methods on the field- Implementation of PowerBI at our team for some use-cases- Preparation and participation at various audits - Segmentation of products into data base- SQL usage for evaluations- Monthly reportings of various values

- Optimization of processes of daily tasks- Preparatory activities within the scope of the ongoing tax audit- Accounting and monitoring of incoming payments- Customer service national/international- Support for monthly analysis and reporting activities