I am a PhD student in the Information Systems and Management, advised by Prof. George Chen and Prof. Jeremy Weiss. I also work with Prof. Zachary Lipton as my Machine Learning Department Mentor. My research interest is on interpretable representation learning for temporal data in the healthcare domain. Previously, I received a master’s degree in Machine Learning and a master’s degree in Biomedical Engineering from CMU researching on neuromodulation. Prior to CMU, I earned a Bachelor’s in Engineering Physics with EECS specialization from the University of British Columbia.
Research Interests: Machine Learning for Healthcare, Temporal Representation Learning, Interpretability, Reinforcement Learning
AAAI Workshop on Representation Learning for Responsible Human-Centric AI (R2HCAI), 2023
Ye Won Byun*,
Conference on Computer Vision and Pattern Recognition - Embodied AI Workshop, 2022
Alexander D Kyriazis*,
Asma Bashir, Wai Hang Cheng, Rachel Zhao, Dhananjay R Namjoshi, Septimiu E Salcudean, Cheryl L Wellington, Guy Nir
Neuroinfomatics Journal, 2019