Hi, I'm Flo!I'm a passionate computer scientist whose IT journey began back in 2005 when I first got in touch with archaic MS-DOS. Now, 16 years later, in the summer of 2021, I graduated as M.Sc. at the University of Hamburg and just started working as a research assistant in the university's Language Technology (LT) group under the direction of Prof. Dr. Chris Biemann. Further, I'm an associate of the D-WISE project.During my studies, I found keen interest and amazement about Natural Language Processing and Computer Vision, which are now my active research fields. More specifically, my main interest lies in multi-modal visio-linguistic methods and models to achieve a more natural and human-like grounding and understanding of natural language through visual information and vice versa.While doing my M.Sc. I was working for LT group as a student researcher, among other things as a scientific software developer in the CodeAnno / WebAnno project.Research Interests: - (Multi Modal) Information Retrieval - Scientific software tools that work with text and image - Machine Learning for Digital Humanities (DH)

Mainly worked as a scientific software engineer in the D-WISE team, an interdisciplinary research project between social anthropologists and natural language processing to propel digital humanist research methods. Special focus on applied multimodal information retrieval.

- Teaching Assistant for the Natural Language For Web lecture (WS 18/19)- Development of CodeAnno (an extension of WebAnno)- Design and implementation of a dynamic ML service for CodeAnno

Under the supervision of Dr. Sunayana Sitaram, I worked on the evaluation of multilingual and multimodal language models (LMMs).The summary of my work is currently in review and available as a preprint here: https://arxiv.org/pdf/2407.03791

- started Ontology Alignment research project and codebase from scratch- developed an efficient and zero-shot capable Ontology Alignment approach using state-of-the-art LLMs : https://dl.acm.org/doi/abs/10.1145/3587259.3627560

- Conception, design, and implementation of a full-stack application including a REST API and Web UI for automatic detection of PR and VIN numbers on images of vehicle data carriers- Used traditional computer vision techniques as well as machine-learning based object recognition and optical character recognition models- Used AWS, Google Could, and Azure Cloud Services

- Junior software developer in C++ and JavaEE in the SAP HANA Core Developer Team (worked on a project with about 8M LoC)- Working on a REST API for data anonymization for SAP HANA via Differential Privacy and k-Anonymity

- Teaching assistant for math lecture (summer term 2014)- Extensive JavaScript extension for Microsoft SharePoint application and modules (winter term 2015/16)- Teaching assistant for C++ lecture (winter term 2016/17)

- Implementation and evaluation of different automatic white balancing methods for video data in C++- Implementation of various test cases for static program analysis in C- Extensive refactoring of a C++ framework to simulate software execution times

- Prototype implementation of a thermal model for a LEO Satellite- UML to MS Word Transformation- UML to XML Schema Transformation