The Other 37% of my Job Alyson Wilson, Ph.D., PStat Professor, - PowerPoint PPT Presentation

The Other 37% of my Job Alyson Wilson, Ph.D., PStat Professor, Department of Sta7s7cs Principal Inves7gator, Laboratory for Analy7c Sciences Associate Director, Data Science Ini7a7ve agwilso2@ncsu.edu hCp://www.stat.ncsu.edu/people/wilson/

Background • BA, Mathema7cal Sciences, Rice University, 1989 • MS, Sta7s7cs, Carnegie Mellon, 1990 • University of PiCsburgh, Department of Epidemiology Data Center, 1991 • Na7onal Ins7tutes of Health, 1991-1992 • PhD, Sta7s7cs, Duke University, 1995 • Cowboy Programming Resources (U.S. Army contractor), 1995-1999 • Los Alamos Na7onal Laboratory, Sta7s7cal Sciences Group, 1999-2008 • Iowa State University, Department of Sta7s7cs, 2008-2011 • Science and Technology Policy Ins7tute, Ins7tute for Defense Analyses, 2011-2013 • North Carolina State University, Data-Driven Science Cluster, Department of Sta7s7cs, 2013- • Laboratory for Analy7c Sciences, 2014-

Research Interests

Research Interests: Examples • Bayesian Reliability, par7cularly for systems • Data fusion, currently for materials • Assurance Test Plans • Graph analy7cs (community detec7on, paCern matching in geospa7al seman7c graphs) • Inferring geotags for social media • Variable selec7on in sta7c and dynamic generalized linear models

Research Interests: Examples • Industrial sta7s7cs (metrology, gauge R&R studies, quan7fying measurement error) • 3 books (Bayesian reliability, sta7s7cs in counterterrorism, reliability) • Grants from o Department of Energy, suppor7ng nonprolifera7on and data fusion o Department of Defense, suppor7ng Bayesian reliability o NSF, suppor7ng joint materials/sta7s7cs training

Research Group PhD Students • Yiqing Tian, variable selec7on for logis7c regression with p >> n (system reliability) • Jordan Bakerman, geotagging and dynamic variable selec7on (nonprolifera7on) • Milo Page, matrix comple7on • Isaac Michaud, sensi7vity tes7ng (detonator tes7ng) RAs • James Gilman, Bayesian reliability and sofware security metrics • Susheela Singh, data fusion for materials Postdoctoral Research Fellow • Karl Pazdernik, spa7al sta7s7cs, nonprolifera7on, data fusion, sports sta7s7cs, industrial quality metrics • Hector Rendon, data veracity

Teaching • Introduc7on to Data Science, CSC/ST cross-listed undergraduate course • Bayesian Analysis, ST graduate course • Experimental Sta7s7cs for Engineers, graduate course • NC State Execu7ve Educa7on data science classes

StaIsIcs in Defense • Co-founder and (frequent) officer for the American Sta7s7cal Associa7on Sec7on on Sta7s7cs in Defense and Na7onal Security • Member of 9 Na7onal Academy of Sciences panels looking at issues in defense, security, and counterterrorism • Execu7ve CommiCee Member (since 2000) of Conference on Applied Sta7s7cs in Defense; conference organizer (twice)

Other Service Diversity • Reten7on and Promo7on of Women and Minority Faculty in Science and Engineering, submiCed to Science • University Diversity Advisory CommiCee • Diversity Mini-Grant • Leadership for a Diverse Campus Editorial • Former Editor (JASA, American Sta7s7cian) • Managing Editor (Bayesian Analysis) • Associate Editor (Journal of Uncertainty Quan7fica7on) Secretary for AAAS Sec7on U (Sta7s7cs)

Data Science at NC State North Carolina State University has strengths that make it a natural home for data science ac7vi7es – strong programs in sta7s7cs, applied math, and computer science; long-standing industrial partnerships; Centennial Campus, which facilitates collabora7ons among university, industry, and government partners. • Data-Driven Science Chancellor’s Faculty Excellence Program (cluster coordinator) • Data Science Ini7a7ve (associate director) • Laboratory for Analy7c 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 ‒ Bioinforma7cs ‒ Emerging Plant Disease and Global Food Security ‒ Forensic Science ‒ Geospa7al Analy7cs ‒ Innova7on and Design ‒ Leadership in Public Science ‒ Personalized Medicine ‒ Sustainable Energy Systems and Policy ‒ Visual Narra7ve hCps://facultyclusters.ncsu.edu

Isn’t data science just applied sta7s7cs? ar7ficial intelligence? machine learning?

Data Science IniIaIve How do we ins7tu7onalize data science at NC State? (And what does that mean?) • Educa7on • Research • Infrastructure hCp://dsi.ncsu.edu

AnalyIcs and Data Science EducaIon Programs and Efforts • Ins7tute for Advanced Analy7cs – PSM • Data Science Graduate Cer7ficate (CSC/Stat) • CSC graduate track in Data Science • Sta7s7cs graduate concentra7on in Data Science • Co-taught CSC/Sta7s7cs undergraduate elec7ve • Poole College of Management – Digital Analy7cs Cer7ficate within MBA program, Undergraduate 15-hour Data Analy7cs Honors Program • Geospa7al Analy7cs MS and PhD programs • Development of • General Educa7on thema7c concentra7on • Quan7ta7ve and H&SS-focused minors • Joint MS program with Sta7s7cs, Math, and Computer Science

Research Enablement Winter Symposium • Highlight internal resources and external partnerships • Foster internal collabora7on 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 Visualiza7on • Intro to Data Science using R • Data Cura7on • Data Mining

Research Enablement RED Talks • Emery Brown, MIT/Harvard, February 9 • Deen Freelon, American University, March 15 • Kathleen Vogel, NCSU, April 19 CooperaIng AcIviIes • SMART Ci7es • I/UCRC Center for Hybrid Mul7core Produc7vity Research (CMHPR), Laboratory for the Science of Technologies for End- to End Enablement of Data (STEED) • NC Data Science and Analy7cs Ini7a7ve • TRIPODS proposal