I’m joining MIT EECS/CSAIL as an assistant professor, starting fall 2024

Hi, I’m a postdoc at the University of Washington with Jeff Heer and Yejin Choi. I recently completed my PhD in computer science at Stanford University in the HCI group, advised by Michael Bernstein and James Landay. My research designs interactive systems and evaluation approaches that bridge principles of human-computer interaction with the realities of machine learning. My work has won awards at top conferences in human-computer interaction and artificial intelligence, including a Best Paper award at CHI and an Oral at NeurIPS. My PhD was supported by an Apple PhD Fellowship in AI/ML, and I’ve interned at Apple, Google, and CMU HCII.

Mitchell Gordon

Highlights

Jury Learning: Integrating Dissenting Voices into Machine Learning Models

Mitchell L. Gordon, Michelle Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein. CHI 2022
Best Paper award (1% of submissions)

Paper
The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality

Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael Bernstein. CHI 2021

Paper
HYPE: Human eYe Perceptual Evaluation of Generative Models

Mitchell L. Gordon*, Sharon Zhou*, Ranjay Krishna, Austin Narcomey, Li Fei-Fei, Michael Bernstein. NeurIPS 2019
Oral (0.5% of submissions)
*equal contribution

Paper