Next Meetup

The Emerging Role of Quantum Computing in Machine Learning
Join us for an enriching evening of data science at George Washington University! We'll explore the intersection of quantum computing and machine learning with John Kelly, Director of Analytics at QxBranch. Prior to this, Brian Wright, Co-Director of the data science program at GWU, will give an overview of the data science activities at GWU. Abstract: Data science has been rapidly growing over the past decade, and its applications have become ubiquitous in our daily lives. As these applications consume more data and need faster response times, new technologies and algorithms are needed to meet the computational demands. Quantum computing is a highly promising emerging technology that could present significant opportunities to accelerate the training of machine learning algorithms and improve data science methods. This presentation will provide an overview of data science, with a focus on practical applications in industry. The current state of quantum computing technologies will also be explored, including some of the ways that quantum computing can be harnessed to advance machine learning. Bio: John Kelly, Ph.D., Director of Analytics at QxBranch John is leading the company’s development of advanced data analytics technologies. Previously, he was the Technical Lead for Corporate Data Analytics at Lockheed Martin. John has experience applying machine learning to a diverse set of domains including healthcare, supply chain optimization, sustainment, and program management. He completed his BS and MS in Electrical Engineering at NC State and his Ph.D. in Electrical and Computer Engineering at Carnegie Mellon University, where his work focused on machine learning and signal processing algorithms for brain-computer interfaces. Agenda 6:30 PM: Pizza, refreshments, & networking 6:50 PM: Introduction by Brian Wright, Co-Director of the data science program at GWU 7:00 PM: Presentation by John Kelly, Ph.D., Director of Analytics at QxBranch 7:30 PM: Q&A Note: This event is jointly organized with Dataiku Washington DC.

GWU, Funger Hall, Room 103

2201 G St. NW · Washington, DC

    Past Meetups (80)

    What we're about

    Public Group

    Data Science DC is a non-profit professional group that meets monthly to discuss diverse topics in predictive analytics, applied machine learning, statistical modeling, open data, and data visualization. Our members are professionals, students, and others with a deep interest in these fields and related technologies. Meeting topics are varied and range from tutorials on basic concepts and their applications, to success stories from local practitioners, to discussions of tools, new technologies, and best practices. All are welcome -- to attend, to meet others, and to present their work!

    Data Science DC is a Program of Data Community DC, Inc.

    Members (10,557)

    Photos (331)