Ken Shapiro is a results-driven leader with a track record of driving innovation in public and private sectors. At Apriqot, he leverages deep expertise in health and human services, operational strategy, and organizational growth. His career includes leadership roles at the local, federal, and executive levels, including helping lead Marin County's COVID-19 response, establishing a Medicaid innovation waiver program, and serving as an Analyst in the Office of the President and Executive Officer for the U.S. Department of Health and Human Services. With experience managing complex systems and fostering cross-sector collaboration, Ken delivers effective, lasting solutions to complex challenges.

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Nicole is a "Jill of All Trades" at Apriqot. She manages projects, conducts data analysis, and oversees our communication initiatives. Nicole joined Apriqot in January 2024 as a Northeastern student co-op while pursuing her Master's degree in data analytics at the Roux Institute, and has happily been part of Team Apriqot ever since. Previously, she served in public education for a decade, working with learners over the entire developmental spectrum, from preschool to college. The throughlines of her career are an insatiable curiosity about how to make information compelling to diverse audiences and a commitment to organizations and projects focused on serving the public good.

Alfredo Vergara, PhD, MS, BSE is an applied public health epidemiologist with 30 years of experience, including 26 at the U.S. Centers for Disease Control and Prevention (CDC). He began his career as an Epidemic Intelligence Service (EIS) officer and has worked across environmental health, emergency response, refugee and border health, and infectious diseases, including HIV. Dr. Vergara’s portfolio spans field epidemiology, global migration, humanitarian crises, and building public health systems in Africa, as well as experience in academia.

Greg has spent years at the intersection of technology and healthcare. He has worked as a software engineer and product manager at a variety of cutting-edge technology companies including Palantir, Aetion, and charity: water. He is also a resident physician in Family Medicine, and has worked in clinical bioinformatics throughout his time in medicine, including publishing research on next-generation symptom checker tools. He received his undergraduate degree in Computer Science and Economics at Amherst College and his MD at Brown University. He is passionate about leveraging data and technology to improve healthcare delivery at scale. 

Molly is a Consultant Analyst at Apriqot, where she combines technical expertise with a deep understanding of human systems to support data-driven initiatives. With a Social Work background and a Master's in Analytics from Northeastern University's The Roux Institute, Molly brings a unique perspective to data analysis, recognizing the people and communities behind every data point. Before transitioning to analytics, Molly spent ten years working as a social worker in educational and community settings, where she developed strong problem-solving skills and learned the importance of using evidence to guide intervention strategies. This background informs her approach to data analysis, ensuring that insights are not only statistically sound but also practical and equitable.

Kevin has spent years developing methods to improve population estimation and public health surveillance. At the New York City Department of Health and Mental Hygiene, Kevin has led technical teams working on epidemiology, statistics, demography, survey methodology, informatics, and geography. Over the past two decades Kevin has served as Senior Scientific Advisor, Director of Methodology in the Epidemiology Division, and Director of Data Science and Research for Family and Child health. His responsibilities have included developing the current system for the city’s neighborhood-level population estimates, directing the GIS center, acting as technical privacy officer, leading in-house technical consulting efforts, and serving in multiple data governance roles. Kevin leads the development of Apriqot’s core products.

Rohan Puntambekar is a Master of Science student at Northeastern University’s Roux Institute, specializing in Artificial Intelligence. With a background in mechanical engineering and a passion for interdisciplinary research, Rohan bridges traditional engineering principles with modern AI techniques to solve complex problems. He has led and contributed to projects involving time-series anomaly detection, intelligent fault diagnosis, and customer churn prediction, utilizing deep learning, feature engineering, and MLOps practices. During his time as a volunteer on the Maine Shared Community Health Needs Assessment (MSCHNA) project at MaineHealth, he applied data analytics to drive impact in public health analytics and decision-making. At Apriqot, Rohan is excited to apply his experience at the intersection of AI and engineering, building data-powered solutions that improve lives.​

Tim has years of experience conducting health related consulting projects in the public sector and health care industries. He founded and led a national management consulting practice that served all levels of government, health care payors, and health systems. He has helped clients with many different challenges, from implementing large-scale complex health information systems to designing health policies and programs to advance population health. Tim provides strategy, input, and advice for Apriqot’s client services development activities, as well as product and service design and development guidance to help our clients use data and information to improve population health outcomes.


 

Shreeyash is a data scientist who is passionate about turning complex public data into meaningful insights for population health. At Apriqot, he supports the development of analytic frameworks for population estimation, disease prevalence modeling, and data integration using ACS, NCHS, and other sources. His work combines data engineering, statistical modeling, and geospatial analysis to strengthen Apriqot’s tools for community and public health stakeholders. Before joining Apriqot, Shreeyash worked as a Data Analyst at Bayer and contributed to predictive modeling projects across healthcare and business domains. He holds a Master’s in Information Systems (Analytics) from Northeastern University.

Rafael G. Ramos, Ph.D. is a geospatial researcher with extensive experience in mapping and analyzing human & environmental data. He has a Ph.D. in Geography from the University of California Santa Barbara, MS & BS in Computer Engineering from the University of Campinas and was a Postdoctoral Researcher at Brazil’s National Institute for Space Research (INPE). He has proposed and implemented new methodologies to improve data quality in geospatial applications and conducted studies on urban & environmental crimes, deforestation & conservation, health demographics, and vulnerability to extreme weather events. Dr. Ramos is currently affiliated with INPE, a collaborator at the Center for Studies on Violence at the University of São Paulo (NEV-USP), and a consultant at Apriqot, Inc.