Hi, I’m Andrew.
I am a Phd student in the CERC-AAI lab under Irina Rish at Mila - Quebec AI Institute and Université de Montréal. I am currently a Visting Researcher at ServiceNow Research, where my main focus is on time series forecasting. Previously, I worked on multi-agent deep learning for social good as an intern in Yoshua Bengio’s lab. I also consulted on AI and Education at the Université de Montréal’s university pedagogy center. Before that, I completed an M.Sc. on quantum machine learning at the Université de Montréal’s LITQ lab under Gilles Brassard and Alain Tapp.
My current research interests include:
- general-purpose forecasting methods, especially the relevance of additional, non-numerical contextual information.
- the relationship between accurate forecasts, control theory and capable world models.
- Forecasting in multi-agent settings, in particular the impact of negotiation.