From complexity to clarity

Vox Pop is derived from the Latin vox populi: “voice of the people”.

Vox Pop is a term used by journalists to describe a technique in which people are arbitrarily selected and interviewed about a given issue. Recent technological advances now allow us to engage with thousands of such people across the population in the time it once took to interview a single interviewee.

Our applications permit citizens to better understand themselves and those around them in fine-grained detail. Our methods enable us to transform these data from anecdotal into representative statements about the public.

We use our unique insights to empower the public by channeling the voice of the people.


Meet the people behind Vox Pop Labs

Cliff is a serial innovator working at the intersection of technology, public policy, and data science. A former software developer and journalist, Cliff is presently a PhD candidate in political science at the University of Toronto, where he has held fellowships with the Munk School of Global Affairs and the Social Sciences and Humanities Research Council of Canada. He is the recipient of the Sedra Distinguished Graduate Award and the Clarkson Laureateship for Public Service. Cliff regularly provides political analysis for media outlets worldwide and was recently named one of Toronto's top young innovators.

Jon is an accomplished software developer with over a decade of experience in software engineering, application development, and team management. He has recruited and led numerous teams of talented developers, and his broad range of expertise spans the development of full-featured web applications, the performance of code audits, the writing of custom JavaScript libraries, and the testing and implementation of system security procedures. He was previously the Lead Developer and CTO of Functional Imperative, and is an instructor at the Lighthouse Labs Programming School.

Greg is an emergent leader in the application of innovative statistical methods to the study of behaviour and public opinion. A PhD candidate in political science at the University of Toronto, Greg has received methodological training at the Inter-university Consortium for Political and Social Research at the University of Michigan. He has been a fellow at the Trudeau Centre for Peace and Conflict Studies and the Centre for International Governance Innovation. Greg is a recipient of the Canada Graduate Scholarship from the Social Sciences and Humanities Research Council of Canada.

Yannick is a postdoctoral fellow in political science at Laval University in Quebec. He holds a PhD from the University of Toronto and received training in quantitative methods at the Inter-university Consortium for Political and Social Research at the University of Michigan. He has authored numerous peer-reviewed journal articles and book chapters on political behaviour, campaign strategy, and voting. Yannick is the recipient of the Social Sciences and Humanities Research Council of Canada Doctoral Fellowship, the Ontario Graduate Scholarship, and the Ken Bryden Scholarship in Canadian Government and Politics.

Alex works at the forefront of innovation in artificial intelligence. He received his PhD in Statistics from the University of Toronto, where his work focussed on Markov Chain Monte Carlo methods for non-linear state space models. Alex has published several papers on various aspects of Bayesian inference, and has presented his work at a number of academic forums, including the University of Cambridge and the Fields Institute for Mathematical Sciences. He is the recipient of the Natural Sciences and Engineering Research Council Postgraduate Scholarship and the Ontario Graduate Scholarship in Science and Technology.

Uyen is a machine learning evangelist who unlocks the potential of Big Data and artificial intelligence to solve large-scale and high-impact social problems. She received her undergraduate and graduate training in statistics at the University of Toronto's Department of Statistical Science. Uyen was formerly a statistician at the Rotman School of Management and is an expert in likelihood-based inference and its applicatons. Uyen has won numerous awards for her work, including a grant from the Natural Sciences and Engineering Research Council of Canada. She is a member of the Statistical Society of Canada.

Mickael is a consummate optimizer, tech junkie, and a firm believer in the power of algorithms to improve our lives. He is a PhD candidate in political science at Laval University, where his thesis explores the digital footprints of public opinion. He obtained his M.Sc. and B.Sc. in Information and Communication Studies from l’Université Catholique de Louvain, and is the recipient of several grants and fellowships, including the Mitacs Accelerate Program Post-Graduate Student Fellowship, the Crop Public Opinion Research Grant, and the Quantitative Methods Training Grant from Laval’s Department of Political Science.

Howard has a broad range of experience in business, media and law, having worked at CNN, CBS News, The Economist and the UN. He is a graduate student at Harvard University, having obtained his law degree from McGill University. Howard’s work has taken him to the White House, the Supreme Court of the United States, and the UN General Assembly. He has been recognized internationally for his effective communication skills and has presented before business executives and high level politicians. He has appeared on air for English and French media outlets.

James received his graduate training in public policy at King's College London and his undergraduate training in political science at the University of Toronto. He previously served as a program officer with the UK-based Election Reform International Service and as a researcher for, the global campaign for aid transparency. More recently James helped launch a venture with the support of Engineers Without Borders before taking on a position with a multinational public opinion and market intelligence research organisation.

Greg is a passionate researcher and communicator, dedicated to making data analytics both accessible and engaging to the public. A graduate of McGill University and the University of Toronto’s Munk School of Global Affairs, Greg is a recipient of the Joseph Armand Bombardier Canada Graduate Scholarship, the Ontario Graduate Scholarship, and the Mary Coppin Scholarship for academic excellence. Greg was previously a research assistant with the Wissenschaftszentrum Berlin für Sozialforschung and a correspondence clerk at the Office of the Secretary to the Governor General of Canada.

Cara is dedicated researcher who firmly believes in the civic vocation of the social sciences. She is a graduate of the University of Toronto’s Munk School of Global Affairs, and received methodological training at the Inter-university Consortium for Political and Social Research at the University of Michigan. She is a recipient of the Karel and Ellen Buzek Graduate Fellowship, the Rudolf and Rasalie Cermak Graduate Fellowship, and the Joseph and Gisela Klinghofer Scholarship. Cara was previously a Summer Research Intern at the European Academy of Bolzano’s Institute for Minority Rights, and a Company Intern at the Asia Society Philippines.

Josh is a student of graphic design, entering his fourth year at OCAD University. His work spans both print and digital media, with a particular focus on conceptual thinking and the effective use of typography and layout. His current interests lie in exploring the possibilities of design and code, particularly on the web. Most recently, his interactive data visualization work based on Vote Compass data for the 2014 Ontario provincial election was featured on

Bruno is a software developer with a background in mathematics and physics. He holds a BSc in physics at the University of Toronto, where he focused on computational physics and fluid dynamics. His experiences in web development have involved creating interactive visualizations with D3.js and Three.js, using React to create single page applications, and writing server code in Ruby/Rails and Elixir. He previously worked as a Web Developer at Functional Imperative and currently mentors new students at Lighthouse Labs.

Kristin is a front-end developer and graphic designer with a decade of combined experience in the worlds of web and print. A jack of all trades and master of many, she has worked on numerous web applications that feature her skills using React, Node.js, Javascript, HTML, CSS, jQuery, Ruby/Rails, PHP, Sinatra, and a host of other tools, libraries and languages. She received her education in graphic design at Holland College, and in immersive web development at Lighthouse Labs. She was previously a web developer at Functional Imperative and Lighthouse Labs, and a graphic designer at Action Press and Results Marketing and Advertising.

Kevin is a full-stack web developer and keen problem-solver. Ever the avid learner, he has acquired significant experience in API interfacing, adding new features to large existing code bases, and client relations, and has contributed to numerous projects that showcase his command of Ruby/Rails, Javascript, Standard ML, CSS and Sinatra. He received his education in programming from Udacity Front-end Web Development and Lighthouse Labs’ Immersive Web Development Bootcamp. Kevin was previously a Full Stack Web Developer at Functional Imperative.

Noam is a full stack developer with a passion for simple, stable, and efficient code. With professional expertise in Elixir/Pheonix, Ruby/Rails, Javascript, Node, and the UNIX/Linux environment, Noam has worked on a broad range of projects involving APIs, web applications, content recommendation, data analysis, concurrent systems, and various scripts and libraries. He was previously the Lead Software Developer at UDIO AgTech, and a Software Developer at theScore Inc. and Functional Imperative.

Our team is growing!



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