The Other 37% of my Job Alyson Wilson, Ph.D., PStat

Professor, Department of Stascs Principal Invesgator, Laboratory for Analyc Sciences Associate Director, Data Science Iniave [email protected] hp://www.stat.ncsu.edu/people/wilson/ Background

• BA, Mathemacal Sciences, Rice University, 1989 • MS, Stascs, Carnegie Mellon, 1990 • University of Pisburgh, Department of Epidemiology Data Center, 1991 • Naonal Instutes of Health, 1991-1992 • PhD, Stascs, Duke University, 1995 • Cowboy Programming Resources (U.S. Army contractor), 1995-1999 • Los Alamos Naonal Laboratory, Stascal Sciences Group, 1999-2008

• Iowa State University, Department of Stascs, 2008-2011

• Science and Technology Policy Instute, Instute for Defense Analyses, 2011-2013 • North Carolina State University, Data-Driven Science Cluster, Department of Stascs, 2013- • Laboratory for Analyc Sciences, 2014-

Research Interests Research Interests: Examples

• Bayesian Reliability, parcularly for systems • Data fusion, currently for materials • Assurance Test Plans • Graph analycs (community detecon, paern matching in geospaal semanc graphs) • Inferring geotags for social media • Variable selecon in stac and dynamic generalized linear models

Research Interests: Examples

• Industrial stascs (metrology, gauge R&R studies, quanfying measurement error) • 3 books (Bayesian reliability, stascs in counterterrorism, reliability)

• Grants from o Department of Energy, supporng nonproliferaon and data fusion o Department of Defense, supporng Bayesian reliability o NSF, supporng joint materials/stascs training

Research Group

PhD Students • Yiqing Tian, variable selecon for logisc regression with p >> n (system reliability) • Jordan Bakerman, geotagging and dynamic variable selecon (nonproliferaon) • Milo Page, matrix compleon • Isaac Michaud, sensivity tesng (detonator tesng)

RAs • James Gilman, Bayesian reliability and soware security metrics • Susheela Singh, data fusion for materials

Postdoctoral Research Fellow • Karl Pazdernik, spaal stascs, nonproliferaon, data fusion, sports stascs, industrial quality metrics • Hector Rendon, data veracity

Teaching

• Introducon to Data Science, CSC/ST cross-listed undergraduate course • Bayesian Analysis, ST graduate course • Experimental Stascs for Engineers, graduate course • NC State Execuve Educaon data science classes Stascs in Defense

• Co-founder and (frequent) officer for the American Stascal Associaon Secon on Stascs in Defense and Naonal Security

• Member of 9 Naonal Academy of Sciences panels looking at issues in defense, security, and counterterrorism

• Execuve Commiee Member (since 2000) of Conference on Applied Stascs in Defense; conference organizer (twice) Other Service

Diversity • Retenon and Promoon of Women and Minority Faculty in Science and Engineering, submied to Science • University Diversity Advisory Commiee • Diversity Mini-Grant • Leadership for a Diverse Campus

Editorial • Former Editor (JASA, American Stascian) • Managing Editor (Bayesian Analysis) • Associate Editor (Journal of Uncertainty Quanficaon)

Secretary for AAAS Secon U (Stascs) Data Science at NC State

North Carolina State University has strengths that make it a natural home for data science acvies – strong programs in stascs, applied math, and computer science; long-standing industrial partnerships; Centennial Campus, which facilitates collaboraons among university, industry, and government partners.

• Data-Driven Science Chancellor’s Faculty Excellence Program (cluster coordinator) • Data Science Iniave (associate director) • Laboratory for Analyc Sciences (PI) Chancellor’s Faculty Excellence Program

• “Cluster hiring” program, with a focus on interdisciplinary research • 77 faculty members over five years • 20 clusters ‒ Data-Driven Science ‒ Bioinformacs ‒ Emerging Plant Disease and Global Food Security ‒ Forensic Science ‒ Geospaal Analycs ‒ Innovaon and Design ‒ Leadership in Public Science ‒ Personalized Medicine ‒ Sustainable Energy Systems and Policy ‒ Visual Narrave hps://facultyclusters.ncsu.edu

Isn’t data science just applied stascs? arficial intelligence? machine learning? Data Science Iniave

How do we instuonalize data science at NC State? (And what does that mean?) • Educaon • Research • Infrastructure

hp://dsi.ncsu.edu Analycs and Data Science Educaon Programs and Efforts

• Instute for Advanced Analycs – PSM • Data Science Graduate Cerficate (CSC/Stat) • CSC graduate track in Data Science • Stascs graduate concentraon in Data Science • Co-taught CSC/Stascs undergraduate elecve • Poole College of Management – Digital Analycs Cerficate within MBA program, Undergraduate 15-hour Data Analycs Honors Program • Geospaal Analycs MS and PhD programs • Development of • General Educaon themac concentraon • Quantave and H&SS-focused minors • Joint MS program with Stascs, Math, and Computer Science Research Enablement

Winter Symposium • Highlight internal resources and external partnerships • Foster internal collaboraon within NC State using research lightning talks (and long breaks with food and coffee)

Week-Long Professional Development Series • Intro to Data Science • Intro to Data Visualizaon • Intro to Data Science using R • Data Curaon • Data Mining

Research Enablement

RED Talks • Emery Brown, MIT/Harvard, February 9 • Deen Freelon, American University, March 15 • Kathleen Vogel, NCSU, April 19

Cooperang Acvies • SMART Cies • I/UCRC Center for Hybrid Mulcore Producvity Research (CMHPR), Laboratory for the Science of Technologies for End- to End Enablement of Data (STEED) • NC Data Science and Analycs Iniave • TRIPODS proposal