About

Lia Coleman is a researcher and artist at VISION-CAIR, the Creative AI Research lab at the Visual Computing Center (VCC) of King Abdullah University of Science and Technology (KAUST).

Education and Early Career

Lia Coleman received her B.Sc. in Computer Science at Massachusetts Institute of Technology (MIT) in 2017. Since then, she has worked as a computer vision engineer, and is now researching novel art generation using GANs with Prof. Mohamed Elhoseiny of KAUST.

In addition to her technical accomplishments, Lia is also a talented multidisciplinary artist. She has exhibited her work at MIT's McCormick Art Gallery and Harvard's Carpenter Center. She is a member of the Fall 2019 cohort of the School for Poetic Computation (SFPC) in NYC, and drives the Living Characters project of ExcelMandarin in Seattle.

Research Interests

Lia's research interests lie at the intersection of computer vision and computational creativity. In particular, she is interested in using computers to express very human ideas, such as art and poetry, and how teaching a computer to create can teach us about our own creative process.

Selected Publications

Lia Coleman, Panos Achiloptas, Mohamed Elhoseiny, "Towards Principled Evaluation of Creativity of Machine-Generated Art", Machine Learning for Creativity and Design Workshop, NIPS, 2019.

Education Profile

  • B.Sc., Computer Science, Massachusetts Institute of Technology (MIT), United States, 2017