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I am now on the job market, looking for a faculty/research position starting from fall 2023.
Please feel free to contact me at dongyu@mit.edu

[Curriculum Vitae] [Research Statement] [Teaching Statement]

I am Dongyu Liu, currently a PostDoc at MIT 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 (LIDS). I received my Ph.D. in Computer Science and Engineering from The Hong Kong University of Science and Technology where I worked with Prof. Huamin Qu.

My research focuses on innovating at the intersection of Machine Learning (ML), Visualization (VIS), and Human-Computer Interaction (HCI). I design and develop human-centered AI systems and interactive visual interfaces to promote the interplay between humans, data, and machines. The central theme driving my research is the pursuit of “big data, intelligent algorithms, intuitive interfaces” to bridge data gaps, making the data-to-decision process more efficient, effective, and trustworthy in critical domains including urban sustainability and social good. My ultimate goal is to catalyze solutions to pressing challenges in these areas to enhance both human life and urban environment.

My systems have been released as open-source projects, and have drawn wide attention from open-source communities. Some of my techniques have been adopted for external or internal use by leading companies and nonprofits including Microsoft and Bosch, (satellite communication), (renewable energy), Colorado Department of Human Services, and Children’s Hospital of Zhejiang University School of Medicine. My work is widely covered by a variety of media such as MIT News, Dataconomy, ScienceDaily, InfoQ, and Health IT Analytics. Below you can find some system demos of my work.

System Demos: MTV | SmartAdP | VisMooc | VisPaper