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My research interests span the areas of artificial intelligence, machine learning, optimization, and high-performance computing. My team and I focus on advanced research areas in AI for Science at Argonne including scalable automated machine learning, metalearning, reinforcement learning, geometric machine learning, and neuromorphic computing.
I am a recipient of U.S. Department of Energy 2018 Early Career Award. I lead the AI area in RAPIDS2: A SciDAC Institute for Computer Science, Data, and Artificial Intelligence. I lead the research and development of DeepHyper, a scalable automated machine learning package for DOE leadership-class systems.
I am a Fellow in the Northwestern-Argonne Institute of Science and Engineering of the Northwestern University. I am also a Scientist At-large in the University of Chicago Consortium for Advanced Science and Engineering (UChicago CASE).
I received my PhD in 2010 from CoDE-IRIDIA (AI Lab), Université Libre de Bruxelles, Brussels, Belgium, where I was a recipient of Marie Skłodowska-Curie and F.R.S-FNRS Aspirant fellowships from the the European Commission and the Belgian-French Community's National Fund for Scientific Research, respectively.