Daniel E. Atkins, III - (Chair)
DANIEL E. ATKINS (Chair) (NAE) is Emeritus W.K. Kellogg Professor of Information and Professor of Electrical Engineering and Computer Science at the University of Michigan (UM), Ann Arbor. The first phase of his career focused on computer architecture including high-speed arithmetic methods now widely used in modern computers, as well as the design and construction of application-specific experimental machines. The second phase of his career focused on pioneering interdisciplinary research on cyber-enabled distributed knowledge communities including collaboratories and digital libraries applied to both scientific research and education. He has served as dean of the school of engineering, founding dean of the School of Information, and associate vice president for research at UM, as well as the inaugural director of the Office of Cyberinfrastructure at the National Science Foundation (NSF). He chaired the Blue Ribbon Panel on Research Cyberinfrastructure for the NSF that became an international roadmap for initiatives on cyber-enabled research in the digital age. He has chaired or served on many advisory board for government, academia, philanthropy, and industry. Professor Atkins is a member of the National Academy of Engineering. He earned a Ph.D. in computer science and an M.S. in electrical engineering from the University of Illinois, Urbana-Champaign, and a B.S.E.E. from Bucknell University.
ILKAY ALTINTAS is the Chief Data Science Officer at the San Diego Supercomputer Center (SDSC), University of California San Diego (UCSD), where she is also the founder and director for the Workflows for Data Science Center of Excellence. Since joining SDSC in 2001, she has translated her technical and management skills to scientific computing and data science as both a principal investigator and leader. She is a co-initiator of the popular open-source Kepler Scientific Workflow System, and the co-author of publications related to computational data science at the intersection of workflows, provenance, distributed computing, big data, reproducibility, and software modeling in many different application areas. She is also a well-known Massive Open Online Course (MOOC) instructor in the field of “big” data science, and reached out to hundreds of thousands of learners across any populated part of our continent. Among the awards she has received are the 2015 Institute of Electrical and Electronics Engineers (IEEE) Technical Committee on Scalable Computing (TCSC) Award for Excellence in Scalable Computing for Early Career Researchers and the 2017 Association for Computing Machinery's (ACM’s) Special Interest Group on High Performance Computing (SIGHPC) Emerging Woman Leader in Technical Computing Award. Dr. Altintas received her Ph.D. degree from the University of Amsterdam in the Netherlands, with an emphasis on provenance of workflow-driven collaborative science and she is currently an assistant research scientist at UCSD.
SHREYAS CHOLIA is Group Leader for the Usable Software Systems Group in the Data Science and Technology department at Lawrence Berkeley National Laboratory (LBNL), focused on usability aspects of computational and data analysis systems. He is particularly interested in how web interfaces and tools can facilitate large-scale scientific computing workflows. He is currently working on various projects that integrate Jupyter Notebooks with distributed and high performance scientific computing environments. He joined LBNL’s Computational Research Division (CRD) in 2015, having worked for over a decade at the National Energy Research Scientific Computing Center (NERSC), where he led the science-gateway, web, and grid efforts. Prior to his appointment at LBNL, he was a developer and consultant at IBM. He has a B.A. in Computer Science and Cognitive Sciences from Rice University.
MERCÈ CROSAS is Harvard University’s Research Data Officer, with the Office of Vice Provost for Research (OVPR), and Chief Data Science and Technology Officer at Harvard’s Institute for Quantitative Social Science (IQSS). In the last ten years, Dr. Crosas has been Principal Investigator (PI) and co-PI of multiple research grants and collaborations related to data privacy, data provenance, research reproducibility, and data sharing in social science, biomedicine, and astronomy. She is part of numerous committees and working groups focused on research data management, data citation, and data standards, and is a co-author of the FAIR (Findable, Accessible, Interoperable, Reusable) data principles as well as the Joint Declaration of Data Citation Principles. Before re-joining Harvard in 2004, Dr. Crosas worked for six years in the educational software and biotech industries, initially as a software developer, and subsequently as director of the software development team. She contributed to the development of lab information management systems (LIMS) for SNP discovery and genotyping and mass spectrometry. Before that, she spent six years at the Harvard-Smithsonian Center for Astrophysics, first as a pre- doctoral fellow for her Ph.D. in astrophysics from Rice University, and later as a post-doctoral fellow, researcher, and software engineer with the Radioastronomy division. She earned a B.S. in physics from the Universitat de Barcelona, Spain.
Alfred O. Hero, III
ALFRED HERO is the John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science and the R. Jamison and Betty Williams Professor of Engineering at the University of Michigan. His research is on data science and developing theory and algorithms for data collection, analysis and visualization that use statistical machine learning and distributed optimization. These are being applied to network data analysis, personalized health, multi-modality information fusion, data-driven physical simulation, materials science, dynamic social media, and database indexing and retrieval. Dr. Hero has held visiting positions at Massachusetts Institute of Technology, Boston University, Lucent Bell Laboratories (Murray Hill), Ford Motor Company in addition to the University of Nice, the École Normale Supérieure de Lyon, and Telecom-ParisTech in France. Dr. Hero was President of the Institute of Electrical and Electronics Engineers’ (IEEE’s) Signal Processing Society (2006-2008) and was on the Board of Directors of the IEEE (2009-2011) where he served as Director of Division IX (Signals and Applications). He is also a member of the Big Data Special Interest Group of the IEEE Signal Processing Society. Dr. Hero received the B.S. (summa cum laude) from Boston University (1980) and the Ph.D. from Princeton University (1984), both in Electrical Engineering.