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.
Teaching Assistant
University of Amsterdam
Responsible for assisting during practical sessions, grading of assignments, and supervision of exams.
- Undergraduate courses: Programming Languages (19/20, 21/22), Linear Algebra (19/20), Data Structures and Algorithms (19/20), Automata (19/20), Databases (20/21), Discrete Mathematics (20/21), Calculus (20/21), Machine Learning (20/21, 21/22), Computer Vision (21/22), Data Analysis (21/22), and VR/AR (21/22).
- Graduate courses: Deep Learning 1 (22/23, 23/24), Deep Learning 2 (22/23).
Research Intern
University of Amsterdam (QUVA Lab)
Research internship in causal representation learning for my Master’s thesis at the Qualcomm-UvA (QUVA) lab, under supervision of Dr. Sara Magliacane and Phillip Lippe.