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Data Scientist Dr. Jike Chong Joins Sabio Advisory Board

Sabio, the Leaders in App Science®, today announced the appointment of Dr. Jike Chong, Chief Data Scientist at Acorns, to its advisory board. Dr. Chong brings, to Sabio, extensive experience advising companies on how Artificial Intelligence can help solve the problems facing multiple industry verticals.

Aziz Rahim
Aziz Rahim

Commenting on the appointment, Aziz Rahim, CEO of Sabio, stated, “Adding someone of Dr. Jike Chong’s caliber to our advisory board further validates our business and approach to helping companies exceed their marketing goals through improved data analytics and insights. Dr. Jike Chong’s contributions will enable us to continue empowering our clients with predictive business intelligence that gives a competitive advantage to today’s mobile savvy marketers. We look forward to the strategic guidance Dr. Chong will provide Sabio’s rapidly growing customer base and business.”

“Sabio is setting the standard for delivering intelligence that helps marketers better understand their customers,” said Dr. Chong. “This is an exciting time for me to engage the power of AI to help accelerate Sabio’s next phase of success.”.

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Dr. Chong is the Chief Data Scientist of Acorns, the leading micro-investment app in the US with over 3.5 million verified investors, where he is using machine learning and behavioral science to help the up-and-coming save and invest for a better financial future. Before Acorns, Dr. Chong served as the Chief Data Scientist of YiRenDai, an online P2P lending platform with more than $7B loans originated, and the first of its kind from China to go public on NYSE. Prior to YiRenDai, Dr. Chong established and headed the data science division at Simply Hired, a leading job search engine in Silicon Valley, and was invited to the White House under the Obama administration multiple times to advise on using AI to reduce unemployment. From 2011 to 2012, Dr. Chong led quantitative risk analytics at Silver Lake Kraftwerk, responsible for applying big data techniques to risk analysis of venture investment.

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From 2010 to 2014, Dr. Chong had been an adjunct professor and PhD advisor at Electrical and Computer Engineering at Carnegie Mellon University, where he established the CUDA Research Center and CUDA Teaching Center that focuses on the application of GPUs for Machine Learning.

Recently in 2017, he also developed and taught a new graduate level course on Quantitative Approaches for Internet Finance at Tsinghua University, Beijing, China, and is serving as an adjunct professor there. Dr. Chong received his bachelor’s and master’s degrees in Electrical and Computer Engineering from Carnegie Mellon University and a Ph.D. from University of California, Berkeley. He holds 10 patents (6 granted, 4 pending).

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