I am a PhD student in Machine Learning and Public Policy, 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
Shahriar Noroozizadeh,
Jeremy Weiss,
George Chen
Machine Learning for Health (ML4H), 2023
Shahriar Noroozizadeh,
Jeremy Weiss,
George Chen
AAAI Workshop on Representation Learning for Responsible Human-Centric AI (R2HCAI), 2023
Ye Won Byun*,
Cathy Jiao*,
Shahriar Noroozizadeh*,
Jimin Sun*,
Rosa Vitiello*
Conference on Computer Vision and Pattern Recognition - Embodied AI Workshop, 2022
Alexander D Kyriazis*,
Shahriar Noroozizadeh*,
Amir Refaee*,
Woongcheol Choi*,
Lap-Tak Chu*,
Asma Bashir, Wai Hang Cheng, Rachel Zhao, Dhananjay R Namjoshi, Septimiu E Salcudean, Cheryl L Wellington, Guy Nir
Neuroinfomatics Journal, 2019