Germany
Key facts: - 4 years working&research experience in Deep Learning, Computer Vision & Machine Learning 👩💻 - 1 year research experience in Quantum Computing & Quantum Machine Learning & real quantum devices 👩💻 - 5 German scholarships (Deutschlandstipendium) received for outstanding achievements 🎉 - Computer Vision Lecturer (Hörsaalübungsdozent) in front of 200 students 🏫 - Scrum Master for a 5-person student software team 🗓️ - Top 10% of the best Bachelor and Master students in the graduation years 👩🎓 In my studies, I have acquired great interest and competence in the main areas of artificial intelligence, machine learning and computer vision as well as quantum computing/quantum machine learning. Currently, I am particularly enthusiastic about innovatively extending the concepts I have learned with new ideas. With my numerous projects in my working student activities, final thesis in companies and research projects, I could already actively contribute. Apart from my scientific interests, I am fascinated by the topic of leadership and I would like to promote women in IT.
Corporate Research & Technology
Masterthesis student in Hardware-aware Deep Learning. Focus on hardware-aware Neural Architecture Search/AutoML and Uncertainty Quantification.
Working student in research for resource-efficient uncertainty estimation methods for NNs & blindness detection, anomaly detection in deep learning settings & quantification of uncertainty predictions
Management of a 5-person software team as Scrum Master for 6 months within the InnoVet project of the Federal Ministry of Education and Research.
Reimplementation of the Quantum-No-Free-Lunch Theorem and investigation of robustness under varying Schmidt ranks and barren plateaus. Execution of experiment on real qubit systems provided by IBM Contribution to a research paper
Diabetes retionpathy detection using CNNs on the IDRid dataset Application of state-of-the-art preprocessing techniques, feature extraction, transfer learning und explainable AI (XAI).
Funding for selected students with prior successful student employment. Individually tailored program with professional mentoring, networking and transfer of expert knowledge.