Close this search box.

Our life sciences group partners with pharmaceutical companies, medical technology companies, and policymaking bodies to quantify the value of vaccines and other health technologies. We also quantify the economic burden of diseases by developing cutting-edge models and frameworks that are superior to conventional health economics and outcomes research (HEOR) approaches. Through our peer-reviewed publications and other thought leadership efforts, we inform and influence policy outcomes to improve access to healthcare and enhance societal wellbeing.

Health Economics

We are committed to improving population health and broader social welfare by identifying, quantifying, and educating key stakeholders on the economic burden of diseases to help influence policy outcomes. Our superlative team of health, labor, public finance, macroeconomic, and development economists; econometricians; data scientists; and public health specialists support these efforts.

Our Life Sciences Services Include:

We are experts in performing cost-benefit and cost-utility analyses of health technologies. Our approach goes beyond conventional, health-centric cost-effectiveness analyses to account for a broader range of health, social, and economic impacts. Our analyses allow decision-makers to consider the costs of health programs in the context of their full benefits.

At the core of our approach is a series of sophisticated epidemiological and economic models. We employ Markov and agent-based models to understand disease dynamics, and we develop and apply state-of-the-art lifecycle models to quantify the consequences of infection, prevention, and treatment on well-being. We continually push the envelope to develop conceptual and methodological innovations, as evidenced by our numerous peer-reviewed publications.

Our team has successfully demonstrated that our clients’ vaccination programs have significant, broad benefits and rates of return that often exceed standard policy thresholds for recommendation and reimbursement decisions. We have also applied these principles to health technologies, including medical devices, procedures, and pharmaceutical drugs, and health system reforms.

Representative Work:

We have developed an innovative approach to studying the burden of disease. In addition to effects on mortality and morbidity, our novel frameworks account for the economic and social impacts of diseases. We calculate the full social and economic burdens of disease, including impacts on mental health, educational attainment, employment outcomes, quantity and quality of leisure time, time spent in caregiving, household savings, and social equity.

Representative Work:

Using our expert understanding of what researchers need to make the most of patient-reported outcomes (PRO) data, we bring a unique perspective to the selection of PRO questionnaires in clinical studies. Our approach involves looking beyond conventional questionnaires to develop innovative solutions that represent the broad impacts of health technologies. We consider and assemble all pertinent PRO instruments, including generic health utility instruments (e.g., EQ-5D, AQoL-8D) and condition-specific instruments (e.g., Flu-PRO, CSS).

We conduct multi-criteria decision analyses to determine the most appropriate PRO instruments. We weigh factors like an instrument’s peer-reviewed support and breadth of relevancy against its licensure costs and respondent burden. We tailor our recommendations to the regulatory context, adhering to the guidelines of the U.S. Food and Drug Administration (FDA), the European Medicines Agency (EMA), and any other relevant regulatory agencies.

Representative Work:

  • Recommended a set of PRO instruments for the Phase III clinical trial of a respiratory disease vaccine for a well-established pharmaceutical company.

We advance important policy considerations and innovative ideas in the practice of health economics. We work with our partners to prepare commentaries, policy pieces, and opinion articles for well-known academic journals, newspapers, and public health and development organizations to influence public sentiment, policy decisions, and research priorities.

Representative Work:

David Kantor, Senior Data Scientist

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.

Daniel Tortorice, Senior Economist

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.

Younghwan Song, Senior Economist

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.

Daria Burnes, Senior Economist

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.

Ronan Arthur, Senior Modeler, Life Sciences

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.

Lakshmi Reddy Bloom, Founder & CEO

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, Senior Consultant, Testifying Expert

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.

Erin Johnson, Senior Economist/Practice Leader, Labor & Employment

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.

JP Sevilla, Senior Economist/Practice Leader, Life Sciences

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, CFO & Forensic Accountant

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