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Sarah Cherng
Senior Data Scientist, Precision Health Enterprise at Mount Sinai Health System
Professional Background
Sarah Cherng is a highly accomplished researcher and thought leader in the fields of computational epidemiology, health policy, and electronic medical record (EMR) and electronic health record (EHR) analysis. With a robust academic background and a strong foundation in quantitative sciences, Sarah has developed a remarkable career marked by her positions at some of the most prestigious organizations in the healthcare sector. Currently, she serves as the Director of Global Commercial Data Science at Merck, where she leads efforts to harness data-driven insights and innovative methodologies to inform decision-making and improve health outcomes globally.
Before joining Merck, Sarah was integral to the success of Flatiron Health, where she held multiple roles over her tenure, including Manager, Quantitative Sciences, Lead, Quantitative Sciences, and Senior Quantitative Scientist. In these positions, she leveraged her expertise in deep learning, statistical modeling, and health analytics to enhance understanding of cancer care and treatment processes through rigorous data analysis and research methodologies. Her contributions significantly advanced Flatiron Health's data-driven initiatives, empowering stakeholders in oncology to make informed decisions based on evidence-based findings.
Additional experience includes her role as a Senior Data Scientist at Precision Health Enterprise at Mount Sinai Health System, where she utilized her analytical skills and knowledge of health systems to enhance research methodologies and outcomes in patient care. Sarah also completed a postdoctoral fellowship at the renowned Johns Hopkins Bloomberg School of Public Health, further refining her abilities in epidemiological research and computational modeling.
Throughout her career, Sarah has demonstrated a strong commitment to addressing complex health issues through interdisciplinary collaboration and innovative research strategies. Her diverse expertise is complemented by her earlier roles, including positions as a Computational Modeler at the University of Michigan, Intermediate Business Analyst at Blue Shield of California, Computing Leader, and Web Developer at the University of Michigan, where her technical prowess was developed alongside her analytical acumen.
Education and Achievements
Sarah’s academic journey is as impressive as her professional one, having garnered her Doctor of Philosophy (PhD) in Epidemiology from the prestigious University of Michigan School of Public Health. This rigorous training not only equipped her with advanced knowledge in epidemiological research but also instilled in her a passion for understanding the nuances of health outcomes and the important factors that contribute to them.
Her education has served as a strong foundation for her expansive career, wherein she has consistently sought to apply her academic learnings to real-world health challenges. Sarah is dedicated to finding the mechanisms behind health outcomes rather than merely identifying correlations, showcasing her deep commitment to impactful health research.
Skills and Expertise
Sarah Cherng's skill set is wide-ranging, including deep learning methodologies, statistical modeling, health data analytics, and computational epidemiology. Her proficiency in aligning health policy with data-driven insights demonstrates her interdisciplinary approach, wherein she combines expertise from the fields of health policy, data science, and epidemiology.
As a dynamic researcher, she actively contributes to dialogues regarding health outcomes, policy, and the utilization of data science in public health. Sarah is known for her innovative thinking and ability to adopt a systems approach when dealing with complex public health issues.
Beyond her technical skills, Sarah's leadership capabilities are evident in her roles at Merck and Flatiron Health, where she has successfully led teams through complex health analytics projects, illustrating her proficiency in project management and team collaboration.
Notable Achievements
Throughout her esteemed career, Sarah has made numerous notable contributions to the field of public health and data science. Her leadership in quantitative sciences at Flatiron Health helped accelerate the adoption of data-driven solutions in cancer treatment and oncology research. While at Merck, she is continually leveraging her expertise to influence global health initiatives, specifically in areas that combine commercial insights with clinical efficacy.
In addition to her impressive professional tenure, Sarah is also celebrated for her interdisciplinary perspective on epidemiology, which allows her to bridge gaps between various fields, including healthcare and computational science. Her dedication to understanding the mechanisms behind healthcare outcomes sets her apart as an influential voice in contemporary health research.
Sarah Cherng embodies the essence of a 21st-century researcher: curious, innovative, and dedicated to enhancing health outcomes through rigorous data analysis and interdisciplinary collaboration. As she continues to forge new paths in computational epidemiology and health policy, she will undoubtedly contribute to a deeper understanding of the factors that drive health outcomes and improve healthcare systems worldwide.
