Gayle S. Bieler

Gayle S. Bieler has been a statistician at RTI International for the past 30 years and the director of the Center for Data Science for the past four years. She is passionate about building and leading a vibrant data science team that solves complex problems across multiple research domains, that is a hub of innovation and collaboration, and is a place where people can thrive and be at their natural best while doing meaningful work to improve the world. Her team of 20+ data scientists, statisticians, software developers and artists is busy solving important national problems, improving our local communities, and transforming research. The most important things to Bieler are 1) people and 2) impact, in that order.

As a statistician by training, Bieler is also experienced in statistical analysis of complex data from designed experiments (clinical studies, toxicology), observational studies (sample surveys, epidemiology studies), and most aspects of commercial software development.

Bieler earned master’s and bachelor’s degrees in mathematics from Boston University.

Tom Capotosto

Tom Capotosto is the director of advanced analytics at General Motors, having joined GM four years ago to establish a center of excellence. His team develops analytic models used to provide insight into a wide range of critical business questions across the enterprise, enabling the company to make better operational and strategic decisions in many facets of planning and running the business.

Since joining GM, Capotosto’s team has developed a broad assortment of models that are used to address numerous business challenges in areas of corporate strategy, sales, marketing, pricing, product development, supply chain, and warranty.

Capotosto’s career spans several global companies in a variety of business and technical roles in multiple industries, including automotive, PC, semi-conductor, and telecommunications. Prior to joining GM, he was vice president of global services at Lenovo, the world’s market leader in the PC industry, where he was responsible for business transformation and services strategy.

Capotosto holds a master’s degree in operations research from Cornell University and a bachelor’s in mechanical engineering from the University of Notre Dame.

John Elder

John Elder leads America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, D.C., Maryland, and North Carolina. Elder co-authored books on data mining, ensembles and text mining — two of which won book-of-the-year awards. Elder was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. He is an (occasional) adjunct professor of engineering at UVA, and was named by President Bush to serve five years on a panel to guide technology for national security.

Jeff Holoman

Jeff Holoman is a director at a DataRobot, where he helps customers with AI strategy and adoption. Holoman has been a speaker at various industry conferences both in the U.S. and internationally. He has been active in the open source community as a committer on Apache Flume and a contributor on Apache Kafka. Prior to his time at DataRobot, Holoman was a principal systems engineer at Cloudera, and has held roles as a software engineer, systems administrator, and database administrator.

Radhika Kulkarni

Radhika Kulkarni is Vice President of Advanced Analytics R&D at SAS Institute Inc. She oversees software development in many analytical areas including statistics, operations research, econometrics, forecasting and data mining. Kulkarni is an active member in the Institute for Operations Research and the Management Sciences (INFORMS) and serves on the Advisory Council of the School of ORIE at Cornell University, the Advisory Board of the Institute for Advanced Analytics at North Carolina State University, the Master of Science in Analytics Advisory Board at Georgia Tech and the Marketing Analytics and Data Mining Board at Oklahoma State University. Kulkarni is a recipient of the Women in Operations Research and the Management Sciences (WORMS) Award and was recognized as an INFORMS Fellow in 2014.

Kulkarni has a master’s in mathematics from the Indian Institute of Technology, New Delhi, and a master’s and Ph.D. in operations research from Cornell University.

Scott Langfeldt

Scott Langfeldt is the founder and CEO of Apex Data Science. He has spent his career solving business problems, with custom designed, business-friendly and P&L impactful analytics. He has experience in multiple industries such as retail, eCommerce, hospitality, finance and life sciences, where he has seen examples where analytics is effective as well as where it is not. He is an expert in many advanced analytic techniques, and is an active blogger. Langfeldt has a passion to help organizations make their analytics impactful, realizing that just investing in a few data scientists or purchasing the newest software will not by itself turn an organization into an analytics power-house. Apex Data Science is dedicated to this cause.

Marc Smith

Marc Smith is a sociologist specializing in the social organization of online communities and computer mediated interaction. Smith leads the Connected Action consulting group and lives and works in Silicon Valley, California.  Smith co-founded and directs the Social Media Research Foundation, a non-profit devoted to open tools, data and scholarship related to social media research.

Smith is the co-editor with Peter Kollock of Communities in Cyberspace (Routledge), a collection of essays exploring the ways identity; interaction and social order develop in online groups. Along with Derek Hansen and Ben Shneiderman, he is the co-author and editor of Analyzing Social Media Networks with NodeXL: Insights from a connected world, which is a guide to mapping connections created through computer-mediated interactions.

Smith’s research focuses on computer-mediated collective action: the ways group dynamics change when they take place in and through social cyberspaces. Many “groups” in cyberspace produce public goods and organize themselves in the form of a commons. Smith’s goal is to visualize these social cyberspaces, mapping and measuring their structure, dynamics and life cycles. While at Microsoft Research, he founded the Community Technologies Group and led the development of the “Netscan” web application and data mining engine that allowed researchers studying Usenet newsgroups and related repositories of threaded conversations to get reports on the rates of posting, posters, crossposting, thread length and frequency distributions of activity.  He contributes to the NodeXL project that adds social network analysis features to the familiar Excel spreadsheet.  NodeXL enables social network analysis of email, Twitter, Flickr, WWW, Facebook and other network data sets.

Smith received a B.S. in international area studies from Drexel University, an M.Phil. in social theory from Cambridge University, and a Ph.D. in sociology from UCLA. He is an adjunct lecturer at the College of Information Studies at the University of Maryland. Smith is also a Distinguished Visiting Scholar at the Media-X Program at Stanford University.