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/

• 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-

Background

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
• Department of Energy, suppor7ng nonprolifera7on

and data fusion

• Department of Defense, suppor7ng Bayesian

reliability

• 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

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

Research Enablement