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Moran Cabili-Kalmar
Director, Data Strategy & Product Development at Foundation Medicine
Professional Background
Moran Cabili-Kalmar is a highly accomplished professional, specializing in the intersection of data strategy, product development, and the field of systems biology. With an illustrious career focusing on data-driven advancements in genomics and bioinformatics, Moran currently serves as the Director of Data Strategy & Product Development and the Discovery Engine Lead at Foundation Medicine. In this pivotal role, she spearheads initiatives that leverage data to enhance precision medicine and improve patient outcomes.
Prior to her current position, Moran held several key roles at Foundation Medicine, including Associate Director of Data Strategy & Product Development. Her expertise in bioinformatics and data strategy has been further solidified through her work at the Broad Institute of MIT and Harvard, where she thrived as Associate Director of Data Strategy & Alliances within the Data Science Platform. Here, she was instrumental in orchestrating strategic partnerships and leveraging large genomic data sets to fuel innovative research initiatives.
Moran’s journey in the scientific community also includes notable achievements such as co-chairing the Access Product Line (Data Use) within the Data Working Group of the Global Alliance for Genomics and Health. Her foundational work as a Senior Product Manager and Product Manager at the Broad Institute has equipped her with a robust understanding of the complexities of data science applications in genomics.
Education and Achievements
Moran Cabili-Kalmar's educational background is as impressive as her professional trajectory. She earned her Doctor of Philosophy (Ph.D.) in Systems Biology from the prestigious Harvard University, where she conducted groundbreaking research that contributes to our understanding of biological systems through integrative approaches.
Her foundational education includes a Master's Degree in Computer Science with a specific focus on Bioinformatics from Tel Aviv University, where she honed her skills in data analysis and computational modeling of biological systems. Additionally, she holds a Bachelor’s Degree in Computer Science and Life Science from Tel Aviv University, solidifying her interdisciplinary knowledge in both computational and life sciences.
Moran's commitment to academia is evidenced by her previous roles as a Teaching Fellow at Harvard University and The Broad Institute, where she contributed to educating the next generation of scientists and engineers in bioinformatics and data science. Her storied academic journey began with her PhD studies at Harvard University and The Broad Institute and included an MSc in Bioinformatics at Tel Aviv University.
Notable Achievements
Throughout her distinguished career, Moran has garnered recognition in various capacities. Her leadership in data strategy and product development has positioned her as a leading authority in the field of genomics. Moran's ability to bridge the gap between data analysis and practical application in a clinical setting is a testament to her innovative approach and her dedication to precision medicine.
Moran's invaluable contribution as a simulator flight instructor for the F-16 fighter jet during her tenure with the Israeli Air Force reflects her multifaceted skill set and diverse background, showcasing her capacity for strategic thought even in high-pressure environments. This experience may also inform her systematic approach to problem-solving within the realms of data science and biological research.
Her pioneering initiatives and deep insights into the data landscape in healthcare make her not just a professional but an influential leader striving to push the boundaries of what is possible in data science for medicine. Her focus on developing scalable and sustainable data solutions continues to inspire her colleagues and drive innovations in the field.
Qualifications
PhD in Systems Biology
Masters in Computer Science (Bioinformatics)
BSc in Computer Science and Life Science
Location
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