CV

Personal Information

Full Name Lukas Struppek
Date of Birth 1994
Languages German, English, Latin, Ancient Greek

Education

  • 2021 - today
    PhD - Artificial Intelligence and Machine Learning Lab
    Technical University of Darmstadt, Darmstadt, Germany
    • Investigating privacy and security attacks that extract meaningful information or compromise system reliability.
    • Research on security-critical deep learning applications such as face recognition and interactive systems.
    • Developing strategies to protect sensitive information, ensuring the privacy and integrity of deep learning systems.
  • 2018 - 2020
    Industrial Engineering (M.Sc.)
    Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
    • Graduation with distinction
    • Overall score: 1.1 (GPA: 3.9), Top 7%
    • Major field of study: Machine learning & AI, statistics, finance
    • Master thesis: "Embedding Convolutional Mixture of Experts into Deep Neural Networks for Computer Vision Tasks", awarded with Faculty Award
  • 2015-2018
    Industrial Engineering (B.Sc.)
    Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
    • Graduation with distinction
    • Overall score: 1.1 (GPA: 3.9), Top 0.5%
    • Major field of study: Finance, statistics, software engineering, medical technology
    • Bachelor thesis: "Conception and Realization of a Microservice for Synchronizing User Preferences"
  • 2013-2015
    Industrial Engineering (B.Eng.)
    Baden-Wuerttemberg Cooperative State University (DHBW), Loerrach, Germany
    • Major field of study: international technical sales management
    • Left at request without a degree
  • 2005-2013
    High School Diploma (Abitur)
    Hebel Gymnasium, Loerrach, Germany
    • Overall score: 1.0 (GPA: 4.0)
    • Awards for outstanding achievements in economics, physics and ancient languages

Experience

  • 2024 - today
    Research Scientist
    German Research Center for Artificial Intelligence (DFKI), Darmstadt, Germany
    • Research on machine learning models' security, privacy, and safety, especially in multimodal systems and generative AI.
    • Investigating vulnerabilities, attack vectors, and defense mechanisms to enhance AI system reliability and trustworthiness.
    • Developing robust methods to advance research in AI security and privacy.
    • Aiming to create innovative, secure, and reliable AI systems for real-world applications.
  • 2018 - 2020
    Research Assistant - Institute of Applied Informatics and Formal Description Methods (AIFB)
    Karlsruhe Institute of Technology (KIT)
    • Research Assistant in the Applied Technical-Cognitive Systems Group.
    • Coordinating beginner and advanced Java programming courses, including substitute lecturing.
    • Supervising a group of 40 tutors and approximately 700 students per semester.
    • Overseeing the "Selected Advanced Programming Topics Seminar".
  • 2019
    Consultant Internship
    d-fine, Frankfurt, Germany
    • Developing a named entity recognition system using LSTM networks.
    • Supporting overall project management in a change management initiative, including strategic planning and project control.
    • Assisting in the preparation of a BaFin permit application.
  • 2019 - 2021
    Lecturer for Software Engineering
    Baden-Wuerttemberg Cooperative State University (DHBW), Karlsruhe, Germany
    • Lecturing modern programming concepts in Java for business computer science students
  • 2016 - 2017
    Student Assistant - Institute of Applied Informatics and Formal Description Methods (AIFB)
    Karlsruhe Institute of Technology (KIT)
    • Tutor for the courses Introduction to Programming: Java and Advanced Programming - Java Network Programming
  • 2016
    Management Internship
    Suva (Swiss National Accident Insurance Fund), Basel, Switzerland
    • Conducting process analysis in risk management, care, and administration.
    • Developing concepts and strategies for non-work-related accident prevention in an international context.
  • 2013 - 2015
    Dual Study Program in Industrial Engineering
    TRUMPF Hüttinger, Freiburg, Germany
    • Strategic & Operative Buying Department: Selecting suppliers, calculating and reviewing optimal order sizes, and conducting value analysis to ensure cost efficiency.
    • Marketing & Sales Department: Planning company exhibitions, conceptualizing advertising media, and developing compelling presentations to enhance brand visibility.
    • Production and Logistics: Acquiring foundational knowledge of industrial production techniques and supporting production preparation to streamline processes.
    • Additional Responsibilities: Organizing internal workshops for apprentices.

Honors and Awards

  • 2024
    • Best Paper Award, Workshop on Navigating and Addressing Data Problems for Foundation Models (DPFM) @ ICLR
  • 2023
    • Top Reviewer, NeurIPS 2023
  • 2022
    • Faculty Award of KIT Department of Economics and Management
    • Best Paper Award of the Workshop on Technology and Consumer Protection (ConPro) @ IEEE Symposium on Security and Privacy
  • 2018
    • Winner of the Google Impact Challenge
  • 2017-2019
    • Deutschlandstipendium (Germany Scholarship)
  • 2013
    • School Award for Outstanding Achievements in the Abitur (High School Diploma)
    • School Award for Economy, awarded by the Association Südwestmetall e.V.
    • School Award for Physics, awarded by the German Physical Society
    • School Award for Ancient Languages, awarded by the Foundation Humanismus Heute

Technical Skills

  • Programming Languages and Software Engineering
    • Python
    • Java
    • Git
    • Docker
  • Tools and Frameworks
    • PyTorch
    • Scikit-learn
    • NumPy
    • Pandas
    • Matplotlib
    • Jupyter
    • Weights & Biases
    • Huggingface Face
  • Operating systems
    • Windows
    • Ubuntu
  • Miscellaneous
    • Microsoft Office: Word, Excel, PowerPoint, and Outlook
    • LaTeX
    • SQL