MSc Neural Systems and Computation
Institute of Neuroinformatics, ETH Zürich & University of Zürich
September 2020 –
October 2022
Zürich
- Developed a novel, bio-inspired continual learning algorithm called sparse-recurrent DFC as part of my master thesis, which received the maximum grade.
- Showcased poster about my master thesis at the AI+X Summit 2022.
- Presented my work at an IROS 2022 workshop on continual learning.
- Took courses on both neuroscience and machine learning topics.
- Finished degree with a weighted GPA of 5.8 out of 6.