Han is a PhD student in the Paul G. Allen School of Computer Science & Engineering. She is advised by Prof Jennifer Mankoff (Computer Science) and Prof Anind K. Dey (Information School).
Han’s research interests span the interdisciplinary areas of human-computer interaction, human-centered machine learning, and fairness, responsibility, accountability, transparency, and ethics in AI (FATE). She is passionate about designing responsible technologies to improve human performance and wellbeing. Her research focuses on uncovering nuanced human performance behavioral patterns through explainable machine learning and data science. Additionally, she researches comprehending human needs and perceptions of AI-learned patterns, informing the design and development of interactive tools to support humans in proactively shaping their behaviors.
If you share similar research interests with her or simply want to have a chat, please feel free to reach out via email: micohan [at] cs [dot] washington [dot] edu.
