Aysel Jafarova

Collaborated on insurance claims data and renewable energy projects. Constructed scalable machine learning systems, deep learning, and Generative AI applications. Pre-processed structured/unstructured data by collaborating on model implementation and monitoring. Conducted data gathering, wrangling, and feature engineering. Developed/deployed interactive web apps with Dash, Streamlit, and Plotly. Streamlined deployment with Docker for scalability and maintainability.

• Data acquisition, analysis, data visualisation and presentation of the results in internal/external meetings • Attending to conferences and regular meeting with customers from external biopharmaceutical companies. • Training of new colleagues and technical assistants • Preparation of SOP's for laboratory usage • Cell biological and molecular biological analysis of immune cells

Immunology, T cell sorting from human blood and culturing, Lentiviral transduction and gene modification through Crispr Cas9 system, phenotyping and routine flow cytometric analysis of T cell behaviour ( and gene integration and expression, effector memory phenotype, activation status , etc)

•Training doctors to recognize and diagnose various infectious diseases •Coordination and organization of CBEP (Cooperative Biological Engagement Program) procedures and activities at participating institutions •Providing and translating CBEP training plans and developing new training materials •Practical support in CBEP research projects (development and implementation) •Project communication and documentation

Doktorarbeit im Bereich Immunologie/Atherosklerose Studienschwerpunkte waren analysierung von immunezellen und die Rolle des Chemokinrezeptors CXCR7 bei Entzündungen in Atherosklerose. Praktizierte Thechnike: in vitro Zellkultur, Tierversuch, Immunohistochemistrie, Durchflusszitometrie

Masterarbeit im Bereich Neurobiologie, Multiple Sklerose. Studienschwerpunkt war die analysierung von Expressionskinetik regulatorischer Proteine, die die von Mäusen abgeleitete Reifung von Oligodendroglialvorläuferzellen beeinflussen

Project Titel: Serienanalyse der Genexpression (SAGE) zur Untersuchung der Wnt- Pathway-Störungen in der Hepatokarzinom-Zelllinie Techniken: Agarose gel electrophorese, Klonierung, PCR