Dr. Leopold Parts
CTO
Leo is a research leader with two decades of experience at the interface of AI and genomics. He provides leadership and strategic direction to the scientific teams driving the ExEd Scientific strategy and delivery of the ExEd Engine.
Bio
Leo has a 20-year career in genomics, focused on measuring gene function and understanding its interaction with genetics and environment. He double majored in Computer Science and Mathematics at MIT, and then earned his PhD from the University of Cambridge. Post-graduation, Leo trained in experimental genetics at the University of Toronto, EMBL Heidelberg, and Stanford University as a CIFAR Global Scholar and Marie Curie Fellow. Since 2015, Leo has been leading a research group at the Wellcome Sanger Institute, studying the impact of genetic variation on cellular traits, and scaling approaches for understanding genomes by engineering, publishing over 70 papers in the process. As CTO at ExpressionEdits, he uses this accumulated know-how to lead building the ExEd Engine.
Leo is a research leader with two decades of experience at the interface of AI and genomics. He provides leadership and strategic direction to the scientific teams driving the ExEd Scientific strategy and delivery of the ExEd Engine.
Bio
Leo has a 20-year career in genomics, focused on measuring gene function and understanding its interaction with genetics and environment. He double majored in Computer Science and Mathematics at MIT, and then earned his PhD from the University of Cambridge. Post-graduation, Leo trained in experimental genetics at the University of Toronto, EMBL Heidelberg, and Stanford University as a CIFAR Global Scholar and Marie Curie Fellow. Since 2015, Leo has been leading a research group at the Wellcome Sanger Institute, studying the impact of genetic variation on cellular traits, and scaling approaches for understanding genomes by engineering, publishing over 70 papers in the process. As CTO at ExpressionEdits, he uses this accumulated know-how to lead building the ExEd Engine.
Leo is a research leader with two decades of experience at the interface of AI and genomics. He provides leadership and strategic direction to the scientific teams driving the ExEd Scientific strategy and delivery of the ExEd Engine.
Bio
Leo has a 20-year career in genomics, focused on measuring gene function and understanding its interaction with genetics and environment. He double majored in Computer Science and Mathematics at MIT, and then earned his PhD from the University of Cambridge. Post-graduation, Leo trained in experimental genetics at the University of Toronto, EMBL Heidelberg, and Stanford University as a CIFAR Global Scholar and Marie Curie Fellow. Since 2015, Leo has been leading a research group at the Wellcome Sanger Institute, studying the impact of genetic variation on cellular traits, and scaling approaches for understanding genomes by engineering, publishing over 70 papers in the process. As CTO at ExpressionEdits, he uses this accumulated know-how to lead building the ExEd Engine.
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