Adrian Goldwaser

About Me

I am a PhD student at Cambridge University supervised by Hong Ge in the Machine Learning Group, supported by the Harding Distinguished Postgraduate Scholars Programme. I am interested in neural network theory, specifically in understanding the inductive biases and using them to explain generalisation and other empirical phenomena that we observe. I am also interested in approaches that improve the robustness and safety of deep learning methods and AI in general.

My honours thesis was supervised by Michael Thielscher and Alan Blair and before that I completed research placements with Andreas Schutt and Haris Aziz.

Publications

Teaching

• 2018s2: Teaching Assistant for COMP9444: Neural Networks
• 2018s2: Teaching Assistant for COMP2521: Data Structures and Algorithms
• 2018s1/2017s1: Teaching Assistant for COMP3411: Artificial Intelligence
• 2017s2: Teaching Assistant for COMP1521: Computer Systems Fundamentals

Personal

I have been juggling since 2006, you can see some projects related to that here.