Melissa Wen, graduating senior in Computer Science and Brain and Cognitive Science, receives an honorable mention in NSF Graduate Research Fellowships Program (GRFP).

Melissa has been working in the ROC HCI lab for over a year developing an algorithm to determine the feminine-masculine attribute from facial features. Her work as appeared at the EEE MIT undergrad conference in 2019 as well as IEEE International Conference on Automated Face and Gesture Recognition (FG) Conference 2020.

She is also one of the winners of the Wells Award, given each year to high-achieving students in the Hajim School of Engineering and Applied Sciences who also excel in the humanities, as determined by highest GPAs at the end of their junior year.