Min Hun Lee

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Faculty at Singapore Management University


Research Area

To enhance people's ability to understand and communicate large and complex data, I develop methods that richly integrate the capabilities of both people and machines. I combine methods from visualization, data management, programming languages, and human-computer interaction to enable effective methods for data analysis and communication. My systems have won awards at premier academic venues, and are used by journalists, data enthusiasts, developers, educators, and the data science community.


2022–present Assistant Professor at Singapore Management University Singapore
2015–2021 Research Assistant at Carnegie Mellon University Pittsburgh, PA
2017 Research Intern at IBM Research Cambridge, MA


2015–2021 Ph.D. in Electrical and Computer Engineering, Carnegie Mellon University Pittsburgh, PA

Advised by Daniel P. Siewiorek
Thesis: “Interactive Hybrid Intelligence Systems for Human-AI/Robot Collaboration”.

2018–2020 M.S. in Machine Learning, Carnegie Mellon University Pittsburgh, PA

2008–2012 B.S. in Electrical and Computer Engineering, Carnegie Mellon University Pittsburgh, PA

Notable Awards

2021 Rising Stars in Data Science The University of Chicago

For my thesis on "Interactive Hybrid Intelligence Systems".

2019 2nd Place ACM ASSETS Student Research Competition

2019 Integrated Design Award IJCAI Eldercare Robot Challenge

Publications [Interactive Version]


Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders
Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Zhiwei Steven Wu, Kenneth Holstein, Haiyi Zhu. ACM FAccT Conference on Fairness, Accountability, and Transparency (FAccT), 2022.


Book Chapter







AI Mentoring Program

Carnegie Mellon University

I mentored undergraduate students for over a year on finding classes, research projects, collaborators, and advisors, as well as managing conferences.



Mentor Undergraduate Researchers

Carnegie Mellon University

Mentor students


Talks [Interactive Version]

Interactive Hybrid Intelligence Systems for Improving the Practices of Physical Stroke Rehabilitation

Pitt-CMU Medical Informatics Colloquium, Zoom

Panel Discussion

IJCAI 2021 AI4 Function, Online


2022 Introduction to Artificial Intelligence Singapore Management University

Instructor, 75 students
Prepared and taught lectures. Prepared and graded assignments.


Reviewer for ACM CHI, IEEE VIS, TVCG, EuroVis, PacificVis, Computers & Graphics, HILDA, and DSIA. Program committee for HILDA 2018, HILDA 2019, and HILDA 2020 at SIGMOD. Organizer of DSIA 2018 and DSIA 2019 at VIS. Session chair at CHI 2019, VIS 2019, VIS 2020. Program committee at VIS 2020 and 2021.


Daniel P. Siewiorek
Professor of Electrical and Computer Engineering and Computer Science
Carnegie Mellon University