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Lakshmi Bloom has more than 30 years of experience in survey design and analysis, human resource information systems, and economic modeling. She specializes in collecting and processing quantitative and qualitative data for policy analysis, executive decision-making, and employment-related litigation. Her strength lies in her ability to bridge the divide between data and decision-making, something she credits to the analytical yet policy-oriented graduate training she received at Princeton University’s School of Public and International Affairs. Lakshmi enjoys an ongoing collaboration with her husband David and works with him on endeavors in both the labor & employment and life sciences practices at Data for Decisions.
Lakshmi loves being a first-time grandmother and looks forward to reigniting her love of travel post-pandemic.
David E. Bloom is the Clarence James Gamble Professor of Economics and Demography at the Harvard TH Chan School of Public Health (HSPH). David is also faculty director of HSPH’s Value of Vaccination Research Network and a founding co-editor of Elsevier’s Journal of the Economics of Ageing. He received a B.S. in industrial and labor relations from Cornell University and a Ph.D. in economics and demography from Princeton University. David has worked extensively in the areas of labor, population, and health economics and has served as a testifying expert and senior consultant for Data for Decisions for more than 10 years. He has taught numerous courses on labor, health, population, and statistics and econometrics at both the graduate and undergraduate levels. David is an elected fellow of the American Academy of Arts and Sciences, an Andrew Carnegie Fellow of the Carnegie Corporation of New York, and a research associate/fellow at the National Bureau of Economic Research, the Center for Economic Policy Research, and IZA – The Institute of Labor Economics. He has published more than 500 articles, book chapters, and books.
In his spare time, he enjoys being “Thatha” to his new grandson and an amateur mixologist.
JP Sevilla earned a Ph.D. in economics at Harvard University, and a J.D. from George Mason University. He is a member of the DC Bar and a research associate at the Harvard TH Chan School of Public Health. Before joining Data for Decisions, JP was an assistant professor at the Harvard School of Public Health, and an ethics fellow at the Harvard Law School. His expertise and interests are in the economic and normative aspects of global health; cost-benefit analysis; public sector priority-setting, law, and economics; and applied econometrics and microeconomics. Creativity, clarity, and rigor are JP’s hallmarks, which he brings fully to his role as a leader for the life sciences practice.
In his spare time, he enjoys vegan cooking and watching films that his colleagues refer to as “obscure.”
Joe Grimaldo has been a partner with the Massachusetts accounting firm of O’Connor, Maloney & Company for more than 25 years. He has a broad range of accounting experience, including business valuation, tax return preparation on the individual and corporate level, audit work, estate planning, and forecasting for corporate finance transactions. In addition to serving as chief financial officer at Data for Decisions, Joe contributes his outstanding forensic accounting expertise to the economic valuation component of the labor & employment practice.
In his spare time, he enjoys spending time with his family at their
home on Cape Cod and serving on several for-profit and non-profit
boards.
Ronan Arthur is a postdoctoral research fellow in both the School of Medicine and the biology department at Stanford University. He received his Ph.D. from Stanford, where he wrote his dissertation on trust and behavior change during the West Africa Ebola epidemic of 2014 and infectious disease modeling for endogenous behavioral responses during epidemics. Ronan brings important infectious disease modeling and complex systems expertise to the life sciences team.
In his spare time, he enjoys studying the craft of filmmaking.
Mona Birjandi earned her Ph.D. in economics from Yale University and holds a Master’s degree in Law and Diplomacy from Tufts University. Prior to joining Data for Decisions, Mona served as a Principal Economist at Petco, and as an Economist at Analysis Group. Her expertise lies in applying microeconomics, econometrics, and data analysis techniques to address complex business challenges and in employing modern data science and machine learning methods to estimate econometric and predictive models on large-scale multidimensional data. Energetic, insightful and personable, Mona is a great addition to the labor practice.
Daria Burnes earned a Ph.D. in economics at the University of California, Irvine, where she specialized in labor, urban, and public economics. Daria joined Data for Decisions after spending many years working on wage and hour disputes, discrimination class action lawsuits, pay equity studies, merger reviews, price-fixing class action lawsuits, and exclusionary vertical agreements. Daria brings strong expertise in economic modeling and statistical analysis to her work with both the labor & employment and life sciences practices at Data for Decisions.
In her spare time, she enjoys ballet barre and refining her yoga practice.
Rebecca Demsetz earned a Ph.D in economics from the Massachusetts Institute of Technology, where she specialized in labor economics. She has extensive experience communicating technical concepts to varied audiences, thanks to the years she spent as a senior economist and research officer at the Federal Reserve Bank of New York and as a lecturer in economics at Brandeis University. Rebecca is an excellent applied economist, a supremely careful data analyst, and a skilled writer.
In her spare time, she enjoys hiking, biking, and beach walking with her husband.
Younghwan Song is a professor of economics at Union College. Younghwan received his Ph.D. from Columbia University, where he trained and wrote his thesis in labor economics. With ongoing research and several publications in topics surrounding the U.S. labor market, Younghwan brings a deep understanding of labor economics to the labor & employment practice at Data for Decisions. He also has econometric and statistical expertise that is invaluable to the work done in the life sciences practice.
In his spare time, he enjoys playing tennis and golf with his son.
Daniel Tortorice is an associate professor of economics at the College of the Holy Cross. Dan received his Ph.D. from Harvard University, where he wrote his thesis on expectations and unemployment in macroeconomic models. With ongoing research in dynamic macroeconomic modeling, finance, and vaccine research and development, Dan brings vital macroeconomic, modeling, and data analysis expertise to the life sciences practice at Data for Decisions.
In his spare time, he enjoys coaching his son’s little league teams and walking his Labradoodle, Rhody.
David Kantor has advanced degrees in mathematics and computer science and more than 30 years of experience in programming and systems analysis. He specializes in Stata programming, is an active member of the Stata User’s Group, and has developed numerous proprietary programs in Stata. He also has extensive experience working with U.S. Census Data and Current Population Survey Data, in the contexts of both research and economic valuation. With tremendous attention to programming accuracy and elegance, David brings vital skills to both the labor & employment and life sciences practices at Data for Decisions.
In his spare time, he enjoys woodworking, playing and arranging music, bike riding, and keeping his 150-year-old house going.
Lindsey Bennett graduated from Wellesley College with a B.A. in economics and international relations. She brings to Data for Decisions her excellent economics training and considerable experience as an economics research assistant. With strong writing and analytical skills, and an inspiring capacity to organize and extract important information from dense volumes of financial data or legal documents, Lindsey is a vital member of the labor & employment practice.
In her spare time, she enjoys cooking and trying new restaurants.
Joseph Knee graduated from Columbia University with a B.A. in environmental biology. He joined Data for Decisions after a year of graduate work studying mountain lions in Washington State. Joseph brings complementary analytical skills from both the social and natural sciences that contribute to his interest in public health. With excellent writing, research, and technical capabilities, Joseph makes significant contributions to the growing array of projects in the life sciences practice.
In his spare time, he enjoys spending time with his fiancée, admiring nature, playing tennis, and playing with his yellow lab.
Julian Palladino earned an M.S. in economics from Tufts University and holds a B.A. in economics and mathematics from Boston University. During his graduate and undergraduate work, he gained significant research experience in microeconomics, applied econometrics, cost-benefit analysis, and public policy. With his strong research and analytical training, Julian will be an important addition to the life science practice.
In his spare time, he enjoys skiing, cooking, reading, and spending time with his family.
Tavish McNulty joined Data for Decisions after graduating from the College of the Holy Cross with a B.A. in economics and a minor in physics. Tavish served as a writer and editor of the economics and finance newspaper at Holy Cross and worked as an enumerator for the Census Bureau during the COVID-19 Pandemic. With his analytical and research skills, and strong work ethic, Tavish has already become an asset to the labor & employment practice.
In his spare time, Tavish enjoys playing tennis and spending time with his four younger siblings.
Erin Johnson holds a Ph.D. in economics from UC Berkeley, where her fields were labor economics, public finance, and econometrics. Prior to joining Data for Decisions, Erin was an assistant professor in the Sloan School of Management at the Massachusetts Institute of Technology, a lecturer in the Economics Department of Wellesley College, and a management consultant at Boston Consulting Group. In her research, Erin used large datasets to address questions at the intersection of health policy and labor economics, and she brings this expertise to her work at Data for Decisions. A clear thinker and communicator, with outstanding labor economics and econometrics skills, Erin excels in her role as leader for the labor & employment practice.
In her spare time, she enjoys spending time with her three kids and hiking with her dogs.