The QMSS program gives students access to some of the most accomplished scholars at Columbia University. Working with a broad range of faculty members on theses and other research projects provides our students with the intellectual and material resources they need to accomplish their educational goals. Listed below are the faculty currently teaching in the QMSS program, but students also work with a wide range of faculty across the university.


Quantitative Methods in the Social Sciences MA Program
International Affairs Building, Suite 807
420 W 118th St 
New York, NY 10027
MC 3500
Phone: +1 212-851-7531
Monday - Friday: 9:00 am - 5:00 pm



Andrew Gelman

Dr. Gelman is the founder of the QMSS program.  He still maintains close ties with QMSS faculty, projects and students.  He is currently a professor of statistics and political science and director of the Applied Statistics Center at Columbia University.  He has received the Outstanding Statistical Application award from the American Statistical Association, the award for best article published in the American Political Science Review, and the Council of Presidents of Statistical Societies award for outstanding contributions by a person under the age of 40.  His books include Bayesian Data Analysis (with John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Don Rubin), Teaching Statistics: A Bag of Tricks (with Deb Nolan), Data Analysis Using Regression and Multilevel/Hierarchical Models (with Jennifer Hill), Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do (with David Park, Boris Shor, and Jeronimo Cortina), and A Quantitative Tour of the Social Sciences (co-edited with Jeronimo Cortina). 

ISERP Co-Directors

Matthew Connelly

Dr. Connelly , works in international and global history. He received his B.A. from Columbia (1990) and his Ph.D. from Yale ( 1997). His publications include A Diplomatic Revolution: Algeria's Fight for Independence and the Origins of the Post-Cold War Era (2002), and Fatal Misconception: The Struggle to Control World Population (2008). He has written research articles in Comparative Studies in Society and History, The International Journal of Middle East Studies, The American Historical Review, The Review francaise d'histoire d'Outre-mer, and Past & Present. He has also published commentary on international affairs in The Atlantic Monthly and The National Interest.

Thomas Diprete

Dr. DiPrete is Giddings Professor of Sociology, co-director of the Center for the Study of Wealth and Inequality at Columbia University, and a faculty member of the Columbia Population Research Center.  DiPrete holds a B.S. degree from the Massachusetts Institute of Technology, and a Ph.D. from Columbia University.  He has been on the faculty of the University of Chicago, Duke University, and the University of Wisconsin–Madison as well as Columbia. DiPrete’s research interests include social stratification, demography, education, economic sociology, and quantitative methodology.  A specialist in comparative research, DiPrete has held research appointments at the Max Planck Institute for Human Development in Berlin, the Social Science Research Center – Berlin, the German Institute for Economic Research in Berlin, the VU University Amsterdam, the Netherlands Institute for Advanced Study in the Humanities and Social Sciences, and the University of Amsterdam.  His recent and ongoing projects include the study of gender differences in educational performance, educational attainment, and fields of study, the determinants of college persistence and dropout in the U.S., a comparative study of how educational expansion and the structure of linkages between education and the labor market contribute to earnings inequality in several industrialized countries, and the study of how social comparison processes affect the compensation of corporate executives.

Program Directors and Staff

Gregory M. Eirich

Dr. Eirich is the Director of the Quantitative Methods in the Social Sciences (QMSS) MA Program and is appointed Lecturer-in-Discipline within the Department of Sociology. His course offerings include Data Analysis, Advanced Analytic Techniques, Research Seminar, Time Series, and Social Network Analysis with QMSS.  He researches the causes and consequences of socioeconomic inequality, with a particular focus on family processes.  He has studied “rich-get-richer” dynamics in the CEO labor market and the cumulative academic consequences of reading ability groups in the early education.  His dissertation examined the relationship between parental religiosity and children's educational attainment in the United States.  He has many on-going projects in collaboration with MA and Ph.D. students.  His work has appeared in the American Journal of Sociology (with Thomas Diprete and Matthew Pittinsky), Annual Review of Sociology (with Thomas DiPrete), International Journal of the Sociology of the FamilyResearch in the Sociology of Work, in Adolescence in the 21st Century: Constants and Challenges (eds, Frances R. Spielhagen, Paul D. Schwartz; Information Age Publishing), and most recently, in the Journal of Family Issues.  He has a BA in Classical Languages and Philosophy from Fordham University and his Ph.D. is from Columbia in Sociology.  Prior to teaching, Greg was a senior consultant conducting health care research at The Advisory Board Company in Washington, DC.  He can be reached via email.

Elena Krumova

Elena Krumova is the Assistant Director of the QMSS Program. She holds a PhD in Sociology from Columbia University and has several years of experience teaching at the undergraduate and graduate levels. Previously, she has been a Visiting Assistant Professor at the School of Public Policy at Central European University, Budapest and a Post-doctoral fellow at the Harriman Institute at Columbia University. Elena has a lot of experience advising students and over the last decade, she has helped scores of students conceive of and complete complex research projects.

Meghan McCarter

Meghan is the Program Coordinator for QMSS. She studied Theatre and Environmental Policy at Northwestern University where she subsequently worked as a Research Coordinator for the Science of Networks in Communities Research Group. She has been with the QMSS program since 2016 and is responsible for coordinating all academic operations and enrichment activities. Beyond QMSS, she is involved with a number education outreach organizations within New York City. She is the primary contact for the program and can be reached by phone at (212) 851-7531 or email at

Our Faculty

Benjamin Goodrich

Dr. Goodrich is a core instructor of QMSS and teaches Missing Data, Bayesian Statistics, Data Mining, Data Analysis, and Theory and Methodology at QMSS. Previously, he was a Post-doctoral Researcher working with Andrew Gelman at the Applied Statistics Center at Columbia University (primarily on the mi R package for missing Data). He received his PhD in Government and Social Policy from Harvard University in 2010 where his dissertation, It’s Not All About the Benjamins: Political Economy and Social-Psychology Theories of Welfare State Preferences, derived two new estimators and applies them to cross-country survey data to test competing theories of preferences for redistribution and other welfare state programs. He previously served as a research assistant at the Peterson Institute for international Economics.  His research interests include methodology, comparative politics and political economy. 

Marco Morales

Dr. Morales teaches the Theory and Methods course on behalf of the QMSS Program. He holds a PhD in Political Science from New York University and a BA in Political Science from Instituto Tecnológico Autónomo de México (ITAM). His current research focuses on refining the tools that have traditionally been used to measure and model Economic Voting, both at the individual and at the aggregate levels. He is currently a Senior Data Scientist at NBCUniversal. Prior to that, he served as Director General for Political Analysis for the Communications Coordinator and Federal Government Spokeswoman at the Office of the Mexican Presidency and as Spokesman for the Permanent Mission of Mexico to the United Nations during the country's most recent tenure as non-permanent member of the UN Security Council. His other research interests include Voting Behavior, Public Opinion, Comparative Politics, and Quantitative Methodology.

Michael Parrott

Dr. Parrott is appointed Lecturer-in-Discipline within the Department of Political Science and he teaches GIS and Spatial Analysis, Theory and Methods, Data Analysis for the Social Sciences and Data Visualization with QMSS. Prior to joining the QMSS faculty, he was a 2016-2017 American Political Science Association Congressional Fellow. As an APSA fellow he designed web-applications to organize, centralize, and automate data collection and everyday tasks for committee and personal office staff. Before that he was a senior research analyst with a focus on GIS and spatial statistical analysis for the Campaign Finance Institute, a nonpartisan NPO in Washington, DC. He holds a PhD in Political Science with a focus on American politics and research methodology from the University of Maryland, an MA in Political Science from Fordham University, and a BA in Philosophy, Psychology, and Political Science from the University of Texas. His research interests include American governing institutions (especially Congress), interest groups, money and politics, and quantitative methodology. His current work examines how the design of political institutions shapes who wins and who loses in the policymaking process.