Arjun Ashok is a Visiting Researcher at ServiceNow Research, Montreal, Canada and a PhD Student at Mila-Quebec AI Institute and University of Montreal advised by Irina Rish and Alexandre Drouin. His research interests lie in time series forecasting and decision-making, with a focus on designing scalable general-purpose models for time series prediction tasks (forecasting, imputation, anomaly detection etc.). He has published and given talks in multiple machine learning and forecasting conferences in industry and academia on his work on flexible forecasting and time-series foundation models.