Eliu Antonio Huerta Escudero

University of Illinois at Urbana-Champaign

Eliu Antonio Huerta Escudero is the head of the Gravity Group at the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign.

NCSA provides supercomputing and advanced digital resources for the nation’s science enterprise. At NCSA, University of Illinois faculty, staff, students, and collaborators from around the globe use advanced digital resources to address research grand challenges for the benefit of science and society. NCSA has been advancing one-third of the Fortune 50 for more than 30 years by bringing industry, researchers, and students together to solve grand challenges at rapid speed and scale.

Huerta’s expertise lies at the interface of analytical and numerical general relativity, boosted with innovative applications of machine learning and deep learning, and has as a unifying thread in the use of innovative hardware architectures and advanced cyber-infrastructure facilities, in particular, the Blue Waters supercomputer, to create scenarios for multimessenger astrophysics.

John F. McDonald

Georgia Institute of Technology

John F. McDonald is a professor in the School of Biological Sciences at Georgia Tech, the director of the Integrated Cancer Research Center, and chief scientific officer of the Ovarian Cancer Institute.

His research lab takes an integrated systems approach to the study of cancer. They view cancer not as a defect in any particular gene or protein, but as a de-regulated cellular/inter-cellular process. An understanding of such complex processes requires the implementation of experimental approaches that can provide an integrative holistic or “systems” view of intra-and inter-cellular process. They employ a number high-throughput genomic (e.g., DNA-seq, RNA-seq, microarray) technologies to gather systems data on the status of cancer cells. Additionally, they strive to integrate the exceptional strengths that exist at Georgia Tech in the fields of engineering and the computational sciences.

Daniel B. Neill

New York University

Daniel B. Neill is an associate professor of Computer Science and Public Service at NYU’s Robert F. Wagner Graduate School of Public Service and Courant Institute Department of Computer Science and an associate professor of Urban Analytics at NYU’s Center for Urban Science and Progress. He was previously a tenured faculty member at Carnegie Mellon University’s Heinz College, where he was the Dean’s Career Development Professor, associate professor of Information Systems, and director of the Event and Pattern Detection Laboratory. 

Neill’s research focuses on developing new methods for machine learning and event detection in massive and complex datasets, with applications ranging from medicine and public health to law enforcement and urban analytics  He works closely with organizations such as public health, police departments, hospitals, and city leaders to create and deploy data-driven tools and systems to improve the quality of public health, safety, and security. For example, he has evaluated early detection of disease outbreaks and employed methods for predicting and preventing hot-spots of violent crime.

He is the associate editor of several journals: IEEE Intelligent SystemsDecision Sciences, Security Informatics, and ACM Transactions on Management Information Systems. Neill was the recipient of an NSF CAREER award and an NSF Graduate Research Fellowship and was named one of the “top ten artificial intelligence researchers to watch” by IEEE Intelligent Systems.

Neill received his M.Phil. from Cambridge University and his M.S. and Ph.D. in Computer Science from Carnegie Mellon University.

Jennifer Neville

Purdue University

Jennifer Neville is the Miller Family Chair Associate Professor of Computer Science and Statistics at Purdue University. She received her Ph.D. from the University of Massachusetts Amherst in 2006. She is currently an elected member of the AAAI Executive Council. She was PC chair of the 9th ACM International Conference on Web Search and Data in 2016 and is PC chair for the SIAM International Conference on Data Mining in 2019. In 2012, Neville was awarded an NSF Career Award; in 2008, she was chosen by IEEE as one of “AI's 10 to watch;” and in 2007, was selected as a member of the DARPA Computer Science Study Group. Her work, which includes over 100 peer-reviewed publications with more than 5000 citations, focuses on developing data mining and machine learning techniques for complex relational and network domains, including social, information, and physical networks.

Ross Thomson


Ross Thomson is trained as a computational physicist and has worked in a broad range of academic and industry fields, from micro-gravity fluid simulation for NASA to “computation advertising” at Google. Currently, he works as a solutions architect for Scientific Computing at Google Cloud Platform.