Steven Morgan

Steven Morgan Ph.D. Candidate 1609 Highlandon Ct. ♦ State College, PA 16801 ♦ - ♦-www.linkedin.com/in/stevenjmorgan15 Education Ph.D. (Dual-Title) Social Data Analytics and Political Science The Pennsylvania State University, University Park, PA (GPA: 3.96) Master of Arts Political Science The Pennsylvania State University, University Park, PA (GPA: 3.96) Bachelor of Arts Political Science and Business Administration Thiel College, Greenville, PA (GPA: 4.00) Summa Cum Laude College Valedictorian Expected May 2020 May 2018 May 2015 Professional Experience RAND Corporation May 2018 – Present Summer Associate, Arlington, VA • Developed proprietary text mining analytics platform (RAND-Lex) for internal and external users to conduct computational linguistics and natural language processing tasks on large corpora • Built supervised machine learning module (part of RAND-Lex) for RAND researchers to semi-automate human coding of large datasets, saving substantial funding required for manual labeling of datasets SS&C Technologies March 2016 – May 2016 Associate Client Management Advocate, New York, NY • Analyzed financial reporting data for private equity fund and hedge fund clients within SS&C’s Alternative Investment Services group • Calculated allocations for liquidation waterfall models, realized waterfall models, and capital calls/distributions in accordance with Limited Partnership Agreements • Communicated financial analysis to clients frequently as a client-facing employee Citigroup, Inc. August 2015 – March 2016 Private Equity Securities Processing Analyst, New York, NY • Maintained quarterly and yearly databases tracking financial data such as unrealized and realized gain/loss of investments for venture capital firms, leveraged buyout funds, growth equity funds, and mezzanine (debt) funds • Prepared partner capital statements for investors of private equity funds in accordance with GAAP principles, IFRS, and Limited Partnership Agreements Bank of New York Mellon Client Solutions Intern, Somerset June 2014 – August 2014 • • Assisted senior and junior analysts in setting up trade automation networks for hedge fund clients Assisted setting up customized reporting solutions for hedge fund clients Academic Experience NSF Big Data Social Science IGERT August 2017 – Present IGERT Fellow, University Park, PA • Conduct interdisciplinary research to answer pressing social science questions with innovative big data and computationally-intensive methodologies • Develop and improve new methodologies for analyzing text data from a Natural Language Processing/Machine Learning context Programming and Statistical Software Skills • • Python, R, SQL, C++, JavaScript, Hadoop Machine Learning, Big Data, Predictive Modeling, Data Mining, Natural Language Processing Working Papers: • • • “Estimating Governor Ideology from State of the State Addresses: A Natural Language Processing Approach.” With Dr. Prasenjit Mitra. Presented at the 2018 State Politics and Policy Conference “Using Multilevel Regression Modeling and Poststratification to Predict Policy Incongruence in the American States.” “Utilizing Pooled Survey Data at Scale: Political Communication from the Pulpit.”