UM Collaborators   |   External Collaborators


Principal Investigator, Martha Bailey, Ph.D

Martha Bailey is a Professor in the Department of Economics and a Research Professor at the Population Studies Center (PSC) at the University of Michigan. She is also a Research Associate at the National Bureau of Economic Research, a Research Affiliate at CESifo, and an IZA Research Fellow. Her research focuses on issues in labor economics, demography and health in the United States, within the long-run perspective of economic history.


Collaborator, Eytan Adar, Ph.D

Eytan Adar is an Associate Professor of Information and Computer Science at the UM. Adar's expertise linking large-scale data to form social networks will inform LIFE-M's reconstruction of large-scale family networks across generations from tens of millions of vital records and census data. Adar and his lab will contribute to the design and planning of the data linking methodology, including the development of specific techniques for LIFE-M's link-prediction and multiple-link disambiguation, and implementation of linking methods.


Collaborator, George Alter, Ph.D

George Alter is a Research Professor at The Inter-university Consortium for Political and Social Research (ICPSR) and the Population Studies Center. Alter has extensive knowledge of the history of the family, demographic history, and fertility transitions in Europe and East Asia and of the effects of childhood experiences on health in old age. Alter's research experience with data compilation, archiving, and family linking as well as his experience as the director of ICPSR will contribute to all aspects of this project, especially the curation and preservation of the LIFE-M data.


Collaborator, Hoyt Bleakley, Ph.D

Hoyt Bleakley is an Associate Professor of Economics and a Research Associate Professor at PSC. He was previously a Senior Investigator at Robert Fogel's Center for Population Economics at the University of Chicago. Bleakley works on health, human capital, and intergenerational mobility. His most recent project involves tracking three generations in the 19th-Century US South to follow up on participants in a large land lottery in Georgia. He has also investigated the impact of historical disease eradication efforts on economic performance in the US and Latin America.


Collaborator, Margaret Levenstein, Ph.D

Margaret Levenstein is the director of the Inter-University Consortium for Political and Social Research, the Executive Director at the Michigan Federal Statistical Research Data Center and a Research Professor at the Institute for Social Research and the University of Michigan School of Information. Levenstein's research on historical migration, employment, and innovation makes extensive use of historical census data (1870 to 1940). Moreover, her on-going work with the Census Bureau and Minnesota Population Center (MPC) to preserve Census records and link employment registers both contributes expertise to the LIFE-M project and creates synergies with these initiatives.

Post-Doctoral Research Fellow, Shariq Mohammed, Ph.D

Shariq Mohammed is a Post-Doctoral Research Fellow for Martha Bailey's research group at the Population Studies Center at the University of Michigan. He contributes to the production and dissemination of the LIFE-M data, along with collaborating on research papers and proposals as part of the LIFE-M project. He holds Ph.D. in Economics from the University of Arizona, and M.Phil. and M.A. in Economics from Jawaharlal Nehru University. His research focuses on topics in labor economics, development economics, and applied microeconomics.

Post-Doctoral Research Fellow, Paul Mohnen, Ph.D

Paul Mohnen is a Post-Doctoral Research Fellow at the Population Studies Center at the University of Michigan. Prior to joining the LIFE-M research group, he completed a Ph.D. in Economics at Northwestern University. His research focuses on labor economics and demographic economics.

Project Manager, Meizi Li

Meizi Li is the project manager for LIFE-M, overseeing data cleaning and the management of other Research Assistants. She works closely with the PI and other collaborators regarding the various technical and scientific aspects of the project. Li holds a dual Master of Public Policy and Master of Arts in China Studies, with a graduate certificate in Data Science from the University of Michigan.

Research Area Specialist, Mari Hashimoto

Mari Hashimoto is a research area specialist for Martha Bailey's research group at the Population Studies Center at the University of Michigan. She supports the group from both technical and administrative sides, working on data cleaning, field experiments, and project management. She holds a Master of Public Policy from the University of Michigan, a Master of Environmental Studies and a Bachelor of Engineering from the University of Tokyo, where she majored in urban planning. Prior to her MPP study, she worked for a think tank in Tokyo, Japan on various research projects on urban revitalization.

Research Area Specialist, Mengying Zhang

Mengying Zhang is a full-time research assistant for LIFE-M, primarily helping with scraping, data processing, and modeling. Her main contribution includes designing and implementing Blocked Cartesian Products for different record linkages and iterating over HPM model to increase its performance.  She also assists with other group members for technical solution. She holds a B.S in Statistics and M.S in Information Science at the University of Michigan. Her interest lies in data science field, with diverse and rich experiences in machine learning, deep learning and natural language processing.

Graduate Student Research Assistant, Connor Cole

Connor Cole is a doctoral candidate at the University of Michigan. Prior to entering the Ph.D. program, he earned a bachelors degree in mathematics at Carleton College, and a Masters of Public Policy at the University of California, Berkeley. His current research interests are in labor force participation of women, education attainment across generations, and asset accumulation patterns among low income workers.