Dongyu Liu (刘冬煜）

Postdoctoral Associate at MIT

I am currently a postdoc at MIT's Schwarzman College of Computing. I am hosted by Dr. Kalyan Veeramachaneni in the Data To AI group within the Laboratory for Information and Decision Systems.

My research focuses on innovating at the intersection of Machine Learning and Visualization, to promote the interplay between humans and computational systems. I develop open-source data science tools that are interpretable, scalable, and usable with emphasis on human's ability to understand and interact with a massive amount of data and machine learning models. My research thrusts include: (1) time-varying data analytics by formulating a "human-in-the-loop" decision-making workflow; and (2) usable machine learning in high-stakes decision-making .

I received my Ph.D. in Computer Science and Engineering at HKUST in 2019, where I worked with Prof. Huamin Qu in VisLab. I have been awarded the Hong Kong PhD Fellowship Scheme. I earned my bachelor's degree in Computer Science and Technology from Zhejiang University under the Chu Kochen Honors Program in 2014.

I have broadly collaborated with designers, developers, and scientists while working at Microsoft Research, Robert Bosch LLC, and Tencent. My developed algorithms and systems have drawn widespread attention from academia, industries, media, and open-source communities. My technologies have been transferred and deployed for applications in renewable energy and satellite operations industries, smart cities, and social good (healthcare, child welfare, education). Below are some of the online system demos of my works.

Software Demo: MTV | SmartAdP | VisMooc | VisPaper