Dr. Min Ye

Methodology and algorithm development for modeling the evolution of biological networks: - Model and algorithm design to study modularity in biological networks - Methodology for model testing and validation, large-scale data analysis and interpretation - Measures and characterization of network structure and modularity

I helped in market research, trilingual communication and connecting with several parties. Additionally, I also partly assisted in creating business reports and graphs, as well as solutions to be presented to partners and customers.

Text mining for building a biomedical knowledge base on diseaes, risk factors, and symptoms: - Model and algorithm for text mining to build and populate knowledge base - Data processing and analysis, database integration

I served as a German-Chinese interpreter for a 4 weeks training course of a Chinese delegation at the ZF site in Saarbrücken.

I was an editor and translator of HanTrainerPro (product for learning Chinese), as well as designer, and content generator aiming for German and English speaking learners. Additionally, I was the voice for audio recordings for the pronunciation in Chinese for the HanTrainerPro's products.

My research was in the area of the slow motion adaptation of cells. Ideas and tests were realized and implemented in LabView, motivation for the experiments originate from potential applications in the area of biohybrid systems.

Shape analysis of transient protein binding pockets as pre-work to dynamic pharmacophore modeling • Algorithm and implementation of a shape classifier for transient protein binding pockets • Testing and visualization using protein data stored in the PDB database Language and Tools: C++, BALLView

Models and algorithms in Biological Network Evolution with Modularity

Text Mining for Building a Biomedical Knowledge Base on Diseases, Risk Factors, and Symptoms

followed selected courses and projects in Computer Ccience and Business Chinese

Formanalyse von transienten Protein-Bindungstaschen als Vorarbeit für dynamische Pharmakophor-Modellierung