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Ding Ma has had a diverse and impressive career in mathematics. In 2009, they began as a Graduate Teaching Assistant at The Chinese University of Hong Kong, Department of Mathematics. In 2011, they became a Graduate Researcher at the University of Arizona, Department of Mathematics. In 2015, they were a Visiting Scholar at Nagoya University, where they gave a series of lectures and a poster presentation. In 2016, they were an Elliott Assistant Research Professor at Duke University. In 2017, they were a Speaker at the Mathematical Sciences Research Institute - MSRI, giving a talk about their research on multiple zeta values and modular forms. Finally, in 2020, they became a Senior Machine Learning Engineer at Phyn.

Ding Ma has a Bachelor of Science (B.Sc.) in Mathematics from Fudan University (2005-2009), a Master of Philosophy (M.Phil.) in Mathematics from The Chinese University of Hong Kong (2009-2011), and a Doctor of Philosophy (Ph.D.) in Mathematics from the University of Arizona (2011-2016). In 2018, Ding Ma attended The Data Incubator, a data science program. Additionally, Ding Ma has obtained certifications in Deep Learning from Coursera (2019), Program Graduate from The Data Incubator (2018), Applied Data Science with Python from Coursera (2018), and Statistical Learning with Distinction from Stanford University (2018).