Published multiple papers on arXiv, CVPR, ICLR, NeurIPS, and other international conferences and journals; Received the ML4H 2021 Best Paper Award.
Research Experience
Conducted research work in computational imaging, optimization, and machine learning.
Education
PhD student in the department of Computing and Mathematical Sciences (CMS) at California Institute of Technology (Caltech), under the supervision of Professor Katie Bouman; Undergraduate student at Washington University in St. Louis, member of the Computational Imaging Group, worked with Professor Ulugbek S. Kamilov and Professor Yu Sun.
Background
Research interests include computational imaging, optimization, and machine learning. Broadly interested in all kinds of imaging modalities and excited about innovations both in traditional imaging systems and with other related fields.
Miscellany
Resides in Pasadena, CA; Personal website: https://skylerhallinan.com/; Social media accounts: LinkedIn, Github, Google Scholar, ORCID.