Claire Kelling

Assistant Professor of Statistics at Carleton College
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Contact Information
us****@****om
(386) 825-5501
Location
US

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Experience

    • United States
    • Higher Education
    • 700 & Above Employee
    • Assistant Professor of Statistics
      • Sep 2022 - Present

    • United States
    • Government Administration
    • 1 - 100 Employee
    • Commissioner, Pennsylvania Commission for Women
      • Oct 2017 - Aug 2022

      I was appointed to Governor Tom Wolf's Commission for Women, where I advocate for policy change that will make communities safer and more prosperous. Through this role, I work on policy such as paid family leave and sexual assault prevention on college campuses. I was appointed to Governor Tom Wolf's Commission for Women, where I advocate for policy change that will make communities safer and more prosperous. Through this role, I work on policy such as paid family leave and sexual assault prevention on college campuses.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Distinguished Graduate Fellow
      • Aug 2016 - Aug 2022

      5th year Dual PhD Candidate in Statistics and Social Data Analytics at The Pennsylvania State University First year: Paul M. Doty Distinguished Graduate Fellowship Second year: Big Data Social Science, National Science Foundation IGERT Fellowship Third year: Research Assistant for the Center for Social Data Analytics Fourth year: Research Assistant for the Center for Social Data Analytics Fifth+ year: National Institute of Justice (NIJ) Graduate Research Fellow 5th year Dual PhD Candidate in Statistics and Social Data Analytics at The Pennsylvania State University First year: Paul M. Doty Distinguished Graduate Fellowship Second year: Big Data Social Science, National Science Foundation IGERT Fellowship Third year: Research Assistant for the Center for Social Data Analytics Fourth year: Research Assistant for the Center for Social Data Analytics Fifth+ year: National Institute of Justice (NIJ) Graduate Research Fellow

    • United States
    • Research Services
    • 1 - 100 Employee
    • Graduate Research Fellow
      • May 2017 - Jun 2021

      Continuing to work on several of the projects started over the summer Over the summer, led and managed six independent projects and undergraduate teams to create impact locally and nationally • Open Source Software (OSS)- 1: created methods to quantify the cost/benefit of OSS, using 450,000 software • OSS- 2: through a case study on R, drew conclusions on what network characteristics affect impact of OSS • Arlington County 911- 1: built models to understand what factors affect response time for fire departments • Arlington County 911- 2: using innovative data sources, modeled how Points of Interest may affect crime • Roanoke Community Profile: through text analysis, drew conclusions about the social integration of refugees • Business Innovation: created metrics for innovation for the National Science Foundation, without surveys

    • United States
    • Think Tanks
    • 700 & Above Employee
    • Summer Associate
      • May 2019 - Aug 2019

      Worked on machine learning problems applied to healthcare. Worked on machine learning problems applied to healthcare.

    • United States
    • Strategic Management Services
    • 1 - 100 Employee
    • Graduate Fellow
      • Jun 2016 - May 2019

      • Developing graduate-level research and institutional interventions to build more vibrant campuses nationally • Serving many projects as the sole fellow with a quantitative focus, working with a cohort of students from a diverse range of fields—including medicine, nursing, public health, social work, and international relations • Developing graduate-level research and institutional interventions to build more vibrant campuses nationally • Serving many projects as the sole fellow with a quantitative focus, working with a cohort of students from a diverse range of fields—including medicine, nursing, public health, social work, and international relations

    • Graduate Research Assistant
      • Jun 2018 - Aug 2018

      • I participated in a research partnership between MIT, Harvard, and Tufts to collect and model voting and electoral data to recreate voting districts and better inform redistricting efforts nationwide. • I participated in a research partnership between MIT, Harvard, and Tufts to collect and model voting and electoral data to recreate voting districts and better inform redistricting efforts nationwide.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • Aug 2015 - May 2016

      Introductory Statistics: • Teaching several classes for 371 students and providing practical uses of statistics outside of the classroom • Leading weekly office hours and review sessions for students, as well as by appointment • Proctoring exams, creating homework solutions sets by hand, and coordinating among recitation leaders Statistical Methods: • Grading and hosting office hours on R as well as class material Theoretical Statistics: • Grading and providing performance insight to the most challenging undergraduate course

    • Research Assistant
      • Dec 2013 - Jan 2016

      • Navigating and maintaining a complex database system. • Conducting analysis of enrollment trends through statistical techniques for monthly newsletters. • Performing data entry from worksheets and sources found at university websites. • Maintaining address lists and a database of user contacts. • Navigating and maintaining a complex database system. • Conducting analysis of enrollment trends through statistical techniques for monthly newsletters. • Performing data entry from worksheets and sources found at university websites. • Maintaining address lists and a database of user contacts.

    • United States
    • Manufacturing
    • 700 & Above Employee
    • Finance Intern
      • May 2015 - Aug 2015

      • Projects focused on bringing business analytics and statistical analyses to Finance & Accounting • Analyzed key business drivers for volume, including pricing and distribution, for a billion dollar brand • Created break-through regression and time series models, used by leadership to drive productivity savings • Projects focused on bringing business analytics and statistical analyses to Finance & Accounting • Analyzed key business drivers for volume, including pricing and distribution, for a billion dollar brand • Created break-through regression and time series models, used by leadership to drive productivity savings

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • May 2014 - Jul 2014

      • Participated in the Research Experience for Undergraduates (REU) program • Analyzed liquidity risk and arbitrage bands for State Street Global Advisors through the Exchange Traded Fund JNK and the underlying assets • Assessed and implemented the model provided by Chacko et al. in An Index Based measure of Liquidity • Provided extensions and modifications of the model and compared to existing methods for modeling liquidity • Participated in the Research Experience for Undergraduates (REU) program • Analyzed liquidity risk and arbitrage bands for State Street Global Advisors through the Exchange Traded Fund JNK and the underlying assets • Assessed and implemented the model provided by Chacko et al. in An Index Based measure of Liquidity • Provided extensions and modifications of the model and compared to existing methods for modeling liquidity

    • United States
    • Apparel & Fashion
    • 700 & Above Employee
    • Sales Associate
      • May 2013 - Aug 2013

      • Provided customer service in-store and created a welcoming atmosphere. • Handled cash and dealt with purchases and related complaints while selling product. • Provided customer service in-store and created a welcoming atmosphere. • Handled cash and dealt with purchases and related complaints while selling product.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Jan 2013 - May 2013

      • Gained insights into the benefits of inter-generational programming • Designed programs aligned with developmentally appropriate practices for the populations being served • Constructed a complete program manual for departmental use • Gained insights into the benefits of inter-generational programming • Designed programs aligned with developmentally appropriate practices for the populations being served • Constructed a complete program manual for departmental use

    • United States
    • Entertainment Providers
    • 400 - 500 Employee
    • Rides Associate
      • Feb 2012 - Sep 2012

Education

  • Penn State University
    Doctor of Philosophy (Ph.D.), Statistics and Social Data Analytics (Dual PhD)
    2016 - 2022
  • Virginia Tech
    Bachelor of Science (BS), Statistics
    2012 - 2016
  • Virginia Tech
    Bachelor of Arts - BA, Economics
    2012 - 2016

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