CSE Assistant Professor Jaric Zola’s award, entitled “Scalable Software and Algorithmic Infrastructure for Probabilistic Graphical Modeling,” seeks to simplify and improve how researchers and practitioners, especially in the biomedical domain, use advanced cyberinfrastructure for data analytics. The project aims to introduce a parallel framework of fundamental operations, like data management or scheduling of computations, to accelerate learning of probabilistic graphical models. By developing high-level and intuitive programming models, Zola aims to make high performance computing more accessible.