CV

MEng

Cornell University

Computer Science

Exchange

Hong Kong University of Science and Technology

Computer Science

BS

Technical University of Munich

Information Systems

Research Scientist

Stealth Startup

• Developing label-free distillation methods for training models without human-annotated supervision.
• Building evaluations that characterize jagged intelligence, i.e. uneven capability profiles across tasks.

Graduate Fellow

Santa Fe Institute

• Researched multimodal abstract reasoning in AI models under Professor Melanie Mitchell.
• Designed evaluation benchmarks and analysis pipelines for scientific reasoning with Sandia National Laboratories.

Graduate Teaching and Research Specialist

Cornell University

• Co-designed assignments, projects, and exams for Introduction to Machine Learning.
• Graded and provided feedback on students' work; held office hours for Q&A.

Project Associate for iOS App Development

Siemens

• Developed a decentralized decision-making iOS application for autonomous agents in Swift.
• Built an auctioning algorithm using the strategy pattern to optimally match agents with clients.

Responsible AI Engineering Intern

PwC

• Integrated SHAP and LIME into an explainable AI interface for TensorFlow, PyTorch, and scikit-learn models.
• Co-authored and presented a white paper at Bitkom Big Data & AI Summit Berlin 2022.

Financial Technologies SWE Intern

Deutsche Bank

• Developed microservices in Python and Java (Spring Boot) on Red Hat OpenShift.
• Managed database migration and analysis workflows using Flywaydb, JDBC, JPA, and PostgreSQL.
• Collaborated with teams to integrate services into trading and risk management systems.

Teaching Assistant

Technical University of Munich

• Led weekly tutorials on software engineering, design patterns, model-based engineering, and information systems for the Chairs of Information Systems and Applied Software Engineering.
• Developed exam questions, assisted with grading and lecture preparation, and held office hours.

Research Assistant

Institute of Computational Biology, Helmholtz Munich

• Built neural networks for classification and clustering of 20+ million single-cell samples using TensorFlow and Keras.
• Developed autoencoders to generate synthetic diabetic cell samples to augment datasets.

Diverse Intelligences Fellowship (6000 USD)

Natural and Artificial Minds Initiative, Princeton University

Spotlight Presentation

NeurIPS 2025 Workshop on Multimodal Algorithmic Reasoning

For "Investigating Abstraction Capabilities of the o3 Model Using Textual and Visual Modalities."

Poster Award (150 USD)

Society for Philosophy and Psychology

For "Towards AI Collaborators: Exploring Goal, Value, and Role-Based Alignment in AI."

Faculty Award (1000 USD)

Department of Statistics and Data Science, Cornell University

For the research project "Citegeist."

Dean's List

Hong Kong University of Science and Technology

Top 5% of the undergraduate student body.