Bio.

Michael Xieyang Liu is a 5th year Ph.D. student at Human Computer Interaction Institute @ Carnegie Mellon University, where he is co-advised by Dr. Brad A. Myers and Dr. Niki Kittur. His current research interests include human-computer interaction, hybrid intelligent systems, user interface development, and sensemaking. He publishes at premier HCI academic venues such as CHI, UIST, and CSCW, including two award-winning papers: a best paper at CSCW 2021 and a best paper honorable mention paper at UIST 2019. He obtained his two B.S. degrees at University of Michigan and Shanghai Jiao Tong University. He worked as an undergraduate researcherin the Crowds + Machines Lab (Croma Lab) during his time in Michigan.


Education

08/2017 - Carnegie Mellon University, Pittsburgh, PA
Ph.D. in Human Computer Interaction
- Advisors: Dr. Brad A. Myers and Dr. Niki Kittur
08/2017 - 12/2021Carnegie Mellon University, Pittsburgh, PA
M.S. in Human Computer Interaction
09/2015 - 04/2017University of Michigan, Ann Arbor, MI, US
B.S. in Computer Science
- Undergraduate Researcher at the Crowds + Machines Lab
- Research Assistant at the Center for Ergonomics
- Teaching Assistant for Database Management Systems
- Received Dean's List (2015 - 2016)
09/2013 - 08/2015Shanghai Jiao Tong University, Shanghai, China
B.S.E in Electrical and Computer Engineering
- Received Tang-Junyuan Fellowship (top 2)
- Won Meritorious Winner prize in 2015 COMAP - The Mathematical Contest in Modeling (MCM) (Acceptance: 9%)
- Teaching Assistant for Multivariate Calculus

Misc.

  • My Chinese name is 刘燮洋. I was born in an amazing city, Wuxi, where I was brought up with by lots of love from my family and friends.
  • My motto has always been: “Be the change you want to see in the world.” (by Mahatma Gandhi)
  • I love driving. I love the feeling behind the wheels. No particular reason, just love it. There's also a clue about how much I love being on the road through this site's 404 NOT FOUND page.
  • My favorite song and favorite album of all time are both Hotel California. It is the only song that I can’t get tired of. And I’m pretty sure I never will.