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Foundations of Data Science and AI

Faculty Fellows

Dena Asta, Statistics

Subhadeep Paul, Statistics

Many challenges in data science and artificial intelligence require interdisciplinary efforts in foundational research from developments of methodologies, theories, and effective and efficient algorithms to related applications. The CoP seeks to foster such cross disciplinary research efforts by bridging researchers from different data science fields and providing a platform for collaborations centered on theoretical and algorithmic foundations of data science and AI across the data spectrum. 

Further, the CoP aims to build bridges between foundational research and applied aspects of artificial intelligence that connect core members from computer science, statistics and mathematics to researchers in areas such as neuroscience, GIS, material science, and medical imaging to tackle essential questions arising within application domains. It also aims to connect with researchers from other data analytic and data management areas, such as cybersecurity and data governance.