Experience
PhD student, Artificial Intelligence
University of Amsterdam
PhD student on Adaptable Foundation Models at the University of Amsterdam supervised by Cees Snoek and Yuki Asano. The position is part of the QUVA Lab, which is an academic-industry lab supported by Qualcomm, and the ELLIS Network of Excellence in AI.
Head Teaching Assistant & Tutorial Lecturer
University of Amsterdam
- Head Teaching Assistant, Foundation Models & Deep Learning 1 (2024). Designed and orchestrated the course practicals and coordinated a teaching staff of 10+ TAs for a cohort of 240 students.
- Tutorial Lecturer, Deep Learning 1 (2023). Delivered a lecture series on implementing deep learning methodologies in PyTorch for a cohort of 240 students (Course Material).
Teaching Assistant
University of Amsterdam
- Supported 19 course editions across MSc AI and BSc CS programs, covering topics from Machine Learning to Data Structures & Algorithms.
- Created and taught a technical notebook for the Causality and Causal Representation module of the Deep Learning 2 course (Notebook Link).
- Developed a custom assignment for the “Programming Languages” course and implemented automated test suites in CodeGrade to streamline assessment of 120 students (Link).
Research Intern
University of Amsterdam, Qualcomm
Research internship for my Master’s thesis at the Qualcomm-UvA (QUVA) lab, under supervision of Dr. Sara Magliacane and Phillip Lippe.