30167 Hannover
Research Interests
My research interests revolve around theoretical development and practical application of statistical and Machine Learning methods, particularly in the context of Green AutoML. It is a field dedicated to developing environmentally sustainable and energy-efficient automated machine learning algorithms. I aim to leverage these techniques within industrial contexts to drive innovation across a variety of applications.
Curriculum Vitae
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Working Experience
2023 - Present
Doctoral Researcher, Leibniz University Hannover2022 - 2023
Doctoral Researcher, Volkswagen AG, Wolfsburg.2022
Analytics Professional, Deloitte Consulding LLC, Dusseldorf.2021 - 2022
Master's degree candidate, Internship and Thesis, IAV GmbH, Gifhorn. -
Education
2023 - Present
Ph.D. Student at the Institute of Artificial Intelligence, Leibniz University Hannover2019 - 2022
M.Sc. , Financial Mathematics, Technische Universität Braunschweig. Thesis: "Novelty Detection via Kernel Mean Embeddings".2016 - 2019
B.Sc. , Financial Mathematics, Bielefeld University. Thesis: "Prediction of Customer Churn Using Machine Learning Algorithms".
