Experience

  1. Research Assistant

    Chair for Critical Information Infrastructure at KIT

    Responsibilities include:

    • Publication of a scientific paper on data analytics in healthcare
    • Design and execution of scientific experiments

  2. Research Assistant

    Karlsruhe Service Research Institute (KSRI) and Chair of Discrete Optimization at KIT

    Responsibilities include:

    • Simulation-based layout planning for the emergency department of a regional hospital using data analytics
    • Co-organization of the OHRAS 2019 scientific conference

  3. Research Assistant

    Institute for Information Systems and Marketing (IISM) and Chair for Information Systems and Service Design at KIT

    Responsibilities include:

    • Conceptual development and implementation of an online tool
    • Assistance in preparing lecture slides

  4. Intern - Digital Transformation

    Mücke, Sturm & Company GmbH, Munich

    Responsibilities include:

    • Development of a digital strategy for a private health insurance company
    • Conceptualization of digital assistants for the healthcare sector

  5. Intern - Central Project Portfolio Management

    Allianz Beratungs- und Vertriebsgesellschaft, Unterföhring

    Responsibilities include:

    • Optimization and implementation of central project portfolio management
    • Support in project cost reforecasting

  6. Intern - Controlling and Financial Accounting

    Lebenshilfe Donau Ries e.V., Nördlingen

    Responsibilities include:

    • Concept development for building management
    • Assistance in drafting the 2014 annual financial report

  7. Student Assistant

    Fraunhofer Institute for Applied Information Technology (FIT), Core Competence Center for Finance and Information Management, Bayreuth

    Responsibilities include:

    • Support for publicly funded projects
    • Development of coaching concepts

  8. Intern - Audit and Tax

    KPMG AG Wirtschaftsprüfungsgesellschaft, Munich

    Responsibilities include:

    • Audit of 2014 annual reports
    • Conducting a benchmark analysis

Education

  1. PhD Candidate in Machine Learning

    Chalmers University of Technology

    -Supervised by Fredrik D. Johansson and Devdatt Dubashi.

    • Presented several papers at conferences such as ICML, AISTATS, AAAI, and ML4H, with contributions published in two Alzheimer’s disease research journals, while leading multiple research initiatives in collaboration with academic and healthcare partners, resulting in eight peer-reviewed publications in top conference proceedings and journals.
    • Supervised several master’s thesis projects, guiding students through academic research and industry collaborations.
    • Served as a teaching assistant for multiple courses, including Introduction to Data Science, Research Methods, Causality and Causal Inference, and Design of AI Systems.
    • Completed advanced coursework in Deep Learning, Software and Cloud Computing, Graphical Models, Bayesian Learning and Statistical Relational Learning, Artificial Intelligence and Machine Learning, and Causal Inference, developing a strong foundation in cutting-edge AI/ML techniques.
    Licentiate Thesis

  2. MSc Information Engineering and Management

    Karlsruhe Institute of Technology (KIT)

    Final grade: 1.3 (on a scale where 1.0 is the highest)

    Thesis title:

    • Time series analysis for the recognition of behavioral parameters in people with dementia

  3. Visiting Research Student

    MIT - Massachusetts Institute of Technology, Cambridge/USA
    • Memorization in foundation models in health care
    • Human-LLM Parity
    • Predicting health outcomes from environmental and socioeconomic data

  4. Visiting Research Student

    PreMeDICaL Inria-Inserm team Montpellier, Montpellier/France
    • Predictions under missing values in the context of TraumaBase
    • User study to evaluate interpretable machine learning and missing values