Tianyu Ding  

Ph.D. Candidate

Department of Applied Mathematics & Statistics
Johns Hopkins University
Baltimore, Maryland, USA

Email: tding1@jhu.edu
GitHub: tding1

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Biography

I am a Ph.D. candidate from the Department of Applied Mathematics and Statistics (AMS) at Johns Hopkins University (JHU), advised by Dr. Daniel P. Robinson since 2016. And I have been working with JHU Vision Lab under the supervision of Dr. René Vidal since 2018. During my Ph.D. study, I obtained the Master's degree in Computer Science from the Department of Computer Science at JHU in 2020. Before that, I received the Master's degree in Financial Mathematics from AMS at JHU in 2016 and the Bachelor's degree in Mathematics from the School of Mathematics at Sun Yat-sen University in 2014.

My research interest focuses on the intersection between Numerical Optimization, Machine Learning, Deep Learning, and Computer Vision. I have a particular interest in the development of fundamental theory and the implementation of efficient algorithms for solving real problems.

I was a Research Intern in Applied Science Group at Microsoft from May 2020 to August 2020, advised by Dr. Luming Liang.

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