Teaching

[Aug 2024] Tutorial, CCN

Coding tutorial on continual learning aimed at a cognitive neuroscience audience (2 hours). [link] [notebook]

[Mar 2024] Lecturer, INVICTA Spring School in Porto

Keynote lecture on continual learning (3 hours) followed by hands-on coding session (2 hours). [link] [slides] [notebook]

[Mar 2023] Guest lecture, University of Massachusetts Amherst

Lecture on continual learning with deep neural networks and links to the brain. [slides]

[Dec 2022] Tutorial, NeurIPS

Online tutorial on “Lifelong Learning Machines”, with an introduction to the continual learning literature. [link]

[Dec 2021] Guest lecture, University of Pisa

Lecture on the use of generative models for continual learning. [link]

[Aug 2021] Content Creator, Neuromatch Academy

Coding tutorial and online lecture on benchmarks for continual learning. [link]

[2009 - 2011] Graduate Student Instructor (GSI), UC Berkeley

• STAT 2: introductory course in Statistics
• STAT 151B: advanced upper-division course in Machine Learning
• STAT 248: graduate course in Time Series Analysis

Recipient of Outstanding Graduate Student Instructor Award (awarded to less than 10% of GSIs). [link]

[2007 - 2008] Teaching Assistant, Erasmus University Rotterdam

Introductory courses on Calculus and Linear Algebra.