The main goal of my research is to combine density functional theory simulations and data science approaches to accelerate the discovery of novel materials for catalysis. My research interests include:

• The development of machine learning models for the prediction of material stability and adsorption energetics
• Accelerated high-throughput frameworks for materials discovery, using machine-learning aided (active-learning) algorithms for materials exploration.
• Developing scientific software  and the open database catalysis-hub.org