Madhav's focus is on the creation and explanation of item rankings. He is responsible for further developing and open-sourcing the RankASco framework, which uses attribute scoring functions to rank large-scale, multidimensional items.

Madhav has completed his Masters in Computer Science with a focus in Data Science from the University of Zurich. His research interests span the area of applied machine learning, human-centered artificial intelligence (HCAI), and big data analytics.