Advisory Board

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Morgan Levine Assistant Professor of Pathology at Yale School of Medicine

Morgan Levine

Assistant Professor of Pathology at Yale School of Medicine

Morgan Levine received a Ph.D. in Gerontology from the University of Southern California in 2015, under Dr. Eileen Crimmins. She then completed a postdoctoral fellowship in Human Genetics under Dr. Steve Horvath, at UCLA. In 2017, Dr. Levine joined the faculty at the Yale School of Medicine as an Assistant Professor in the Department of Pathology. Dr. Levine’s work relies on a multi-disciplinary approach, integrating theories and methods from statistical genetics, bioinformatics, demography, and epidemiology. In general, her research focuses on 1) the quantification of biological aging, 2) identifying the genetic mechanisms, which give rise to differential rates of aging in humans; and 3) conceptualizing the biological pathways through which social environment “gets under the skin” and contributes to health disparities.

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Raymond McCauley Chair of Digital Biology at Singularity Univ

Raymond McCauley

Chair of Digital Biology at Singularity University

Raymond McCauley is a scientist, engineer, and entrepreneur working at the forefront of biotechnology. Mr. McCauley explores how applying technology to life — biology, genetics, medicine, agriculture — is affecting every one of us. Co-founder and Chief Architect for BioCurious, the hackerspace for biotech that is a not-for-profit where professional scientists, DIYbio hobbyists and entrepreneurs come together to design the next big thing to come out of a Silicon Valley garage. He was part of the team that developed next generation DNA sequencing at Illumina (NASDAQ: ILMN), where he worked in bioinformatics, cancer sequencing, and personal genomics. His work has been featured in Wired, Forbes, Time, CNBC, Science, and Nature. Mr. McCauley has a Bachelor’s Degree in Computer Science and Electrical Engineering, and a Master of Science degree in Biochemistry and Biophysics, both degrees from Texas A&M University.

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Andreas Muller Lecturer at the Data Science Institute at Columbia University and machine learning expert

Andreas Müller​

Andreas Müller, Lecturer at the Data Science Institute at Columbia University and machine learning expert

Andreas Müller is a lecturer at the Data Science Institute at Columbia University and author of the book “Introduction to Machine Learning with Python”, describing a practical approach to machine learning with python and scikit-learn, published by O’Reilly Media. Mr. Müller is one of the core developers of the scikit-learn machine learning library, and he has been co-maintaining it for several years. He is also a Software Carpentry instructor. In the past, he worked at the NYU Center for Data Science on open source and open science, and as Machine Learning Scientist at Amazon. His mission is to create open tools to lower the barrier of entry for machine learning applications, promote reproducible science and democratize the access to high-quality machine learning algorithms. Mr. Müller has a Diplom in Mathematics and a Doctor of Philosophy Degree in Computer Science from University of Bonn in Bonn, Germany.