Adam Kells

Time series · state-space models · foundation models

• Building causal forecasting systems in production at Cisco, with a focus on probabilistic and hierarchical methods.
• Currently figuring out how to do agentic AI for time series forecasting.
• Previously at MADE.com and causaLens.
• PhD in Computational Chemistry — Long time Markov modeler.
• Outside work: reading, music, film, a mild crossfit habit.