Xiao-Li Meng, the Whipple V. N. Jones Professor of Statistics, and the Founding Editor-in-Chief of Harvard Data Science Review, is well known for his depth and breadth in research, his innovation and passion in pedagogy, his vision and effectiveness in administration, as well as for his engaging and entertaining style as a speaker and writer. Meng was named the best statistician under the age of 40 by COPSS (Committee of Presidents of Statistical Societies) in 2001, and he is the recipient of numerous awards and honors for his more than 150 publications in at least a dozen theoretical and methodological areas, as well as in areas of pedagogy and professional development. He has delivered more than 400 research presentations and public speeches on these topics, and he is the author of "The XL-Files," a thought-provoking and entertaining column in the IMS (Institute of Mathematical Statistics) Bulletin. His interests range from the theoretical foundations of statistical inferences (e.g., the interplay among Bayesian, Fiducial, and frequentist perspectives; frameworks for multi-source, multi-phase and multi- resolution inferences) to statistical methods and computation (e.g., posterior predictive p-value; EM algorithm; Markov chain Monte Carlo; bridge and path sampling) to applications in natural, social, and medical sciences and engineering (e.g., complex statistical modeling in astronomy and astrophysics, assessing disparity in mental health services, and quantifying statistical information in genetic studies). Meng received his BS in mathematics from Fudan University in 1982 and his PhD in statistics from Harvard in 1990.

Nothing is surprising about this list. Despite splashy claims that this place or that is the "new Silicon Valley," the real Silicon Valley is still the place to be. According to the latest report from Burning Glass, California, by far, is still hiring the most AI experts in terms of real numbers, followed by New York, Texas, and Massachusetts. Environmental issues and the perception of unfriendliness to business, and yet people still look to California as the nation's supreme tech hub. You have to look back at the history of the tech spread.

Dr. Kirk Borne is the Principal Data Scientist and an Executive Advisor at global technology and consulting firm Booz Allen Hamilton. In those roles, he focuses on applications of data science, data management, machine learning, A.I., and modeling across a wide variety of disciplines. He also provides training and mentoring to executives and data scientists within numerous external organizations, industries, agencies, and partners in the use of large data repositories and machine learning for discovery, decision support, and innovation. Previously, he was Professor of Astrophysics and Computational Science at George Mason University for 12 years where he did research, taught, and advised students in data science. Prior to that, Kirk spent nearly 20 years supporting data systems activities on NASA space science programs, which included a period as NASA's Data Archive Project Scientist for the Hubble Space Telescope.

ODSC events for 2019 are all wrapped up, and now it's time to start thinking and planning for the next decade. Our first major event of 2020 will be ODSC East April 13-17 in Boston, MA, and we're excited to announce the first fifty speakers out of 280 schedule. ODSC East 2020 is expected to host over 250 speakers. Tom Mitchell is known as the "Father of Machine Learning" having founded the Machine Learning Department at Carnegie Mellon University and led it as Department Head for its first 10 years, teaching many famous students including Andrew Ng. He is a world-renowned researcher in machine learning, artificial intelligence, and cognitive neuroscience.

ODSC is the best community data science event on the planet. There are other events that cover special topics, or industries, etc., but ODSC is comprehensive and totally community-focused: it's the conference to engage, to build, to develop, and to learn from the whole data science community. ODSC East 2020 is one of the largest applied data science conferences in the world. Our speakers include some of the core contributors to many open source tools, libraries, and languages. Attend ODSC East 2020 and learn the latest AI & data science topics, tools, and languages from some of the best and brightest minds in the field.

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