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Computational Biologist with experience in data engineering, analytics, and science. Achievements include designing and building agile pipelines, measuring and defining existing data schemas for enhancement of feature extraction performance, and building models that best fit innovative problems within clinical or molecular context. Proven ability in demonstrating results to an interdisciplinary audience of MD’s, scientists, engineers, and research associates. Successfully led and timely delivered multiple projects, working independently and on collaborative teams. Passionate in bridging the gap between clinical research implementation and clinical utility by identifying molecular abnormalities to advance early detection, prognosis, and risk stratification. Dedicated to collaborative open access science and innovation.