CV
Professional Affiliations
- 09/2023 - current: Tenure-Track Faculty
- CISPA Helmholtz Center for Information Security, Saarbrücken, Germany
- Research interest: Privacy-preserving and trustworthy machine learning
- Co-Lead of: SprintML Lab
- 08/2022 - 08/2023: Postdoctoral Fellow
- Vector Institute for Artificial Intelligence, Toronto, Canada
- Research interest: Privacy-preserving and trustworthy machine learning
- Supervisor: Prof. Dr. Nicolas Papernot
- 09/2019 - 08/2022: PhD Student and Research Associate
- Department of Secure Systems Engineering, Fraunhofer AISEC, Germany
- Duties included: Working in industrial and academic research projects concerning private machine learning and data protection
- Supervisor: Prof. Dr. Marian Margraf
- 07/2021 - 03/2022: Research Intern
- 09/2017 - 01/2019: Research Assistant
- Dahlem Center for Machine Learning and Robotics, Freie University Berlin, Germany
- Duties included: Programming tasks in MATLAB and Python, literature research for projects, support writing of scientific papers and funding applications
- Supervisor: Prof. Dr. Tim Landgraf
- 08/2016 - 10/2016: Visiting Undergraduate with DAAD RISE scholarship
- National Chung Cheng University, Chiayi, Taiwan
- Duties included: Implementing neural networks for food image classification
- Supervisor: Prof. Ph.D. Wei-Ta Chu
- 01/2016 - 07/2016: Working Student
- Fraunhofer Institute FOKUS, Berlin, Germany
- Duties included: Implementing scientific demonstrators for predictive maintenance with Apache Spark and Flink
- Supervisor: Prof. Dr. Adrian Paschke
Education
- Ph.D. in Computer Science, Freie University Berlin (Germany), 2022
- M.S. in Computer Science, Freie University Berlin (Germany), 2019
- Exchange semester, Eindhoven University of Technology (Netherlands), 2019
- B.S. in Computer Science, Freie University (Germany), 2017
- Research stay, National Chung Cheng University (Taiwan), 2016
Prizes and Honors
- 2024, Gesellschaft für Informatik, named GI Junior-Fellow for my achievements in Trustworthy ML and diversity in computer science
- 2024, Saarland University, Busy Beaver Teaching Award for my seminar on Differential Privacy in Machine Learning
- 2024, SaTML Conference, Notable Reviewer Award
- 2023, Fraunhofer Gesellschaft, 2nd prize in Fraunhofer IuK Dissertation Award
- 2020, Forum Junge Spitzenforscher, 3rd prize in the competition for applied science in AI
- 2019-2021, Fraunhofer-Gesellschaft, Talenta Start Scholarship
- 2018, Hasso Plattner Institute, Grace Hopper Travel Scholarship
- 2016, DAAD, RISE Worlwide Research Scholarship
- 2015-2019, Studienstiftung des Deutschen Volkes, Scholarships for Outstanding Students
