I am an Associate Professor with tenure in the Department of Political Science and Legal Studies at Suffolk University in Boston. I hold a Ph.D. in Government from Harvard University and a B.S. in Economic and Business Sciences from the University of Barcelona. My curriculum vitae is here.
My interests are political methodology, elections, and education.
My research has been published in Legislative Studies Quarterly, Electoral Studies,
Political Research Quarterly, and PS: Political Science & Politics.
My most recent publication, co-authored with Kosuke Imai,
is Data Analysis for Social Science: A Friendly and Practical Introduction (DSS), published by Princeton University Press and
now also available in Japanese. This textbook provides an accessible introduction to survey research,
predictive models, and causal inference, using the free and widely-used statistical software R.
It assumes no prior knowledge of statistics or coding, and requires only minimal knowledge of math,
making it ideal for complete beginners.
I primarily teach Data Analysis and Politics (POLS 201), an introductory quantitative-methods course I developed and for which I earned Suffolk's Innovative Teaching Award in 2022. Additional honors include delivering Suffolk's Convocation Speech that same year and being nominated by Suffolk's Student Government Association for the Outstanding College of Arts and Sciences Faculty Member of the Year Award in 2021.
I am affiliated with Harvard University's Institute for Quantitative Social Science and the Center for American Political Studies. Previously, I was as a postdoctoral fellow in the Democracy Program at NYU School of Law's Brennan Center for Justice and as a visiting scholar at the Juan March Institute.