Eura Shin

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email: eurashin [at] g [dot] harvard [dot] edu

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About

I'm a second year PhD student in computer science at Harvard University, co-advised by Finale Doshi-Velez and Susan Murphy. I'm excited about developing reinforcement learning algorithms for mobile health applications! Lately, I've been working on methods that rapidly personalize models to the user, through online model selection. I am grateful for the support of the NSF Graduate Research Fellowship.


I completed my undergrad at the University of Kentucky (2016 - 2019), where I worked on Cyber-Physical Systems with Simone Silvestri.

Activity

Publications

Eura Shin, Pedja Klasnja, Susan Murphy and Finale Doshi-Velez. Online structural kernel selection for mobile health. ICML Workshop on Interpretable Machine Learning in Healthcare, 2021.

Bernat Bramon Mora, Eura Shin, Paul J CaraDonna, and Daniel B Stouffer. Untangling the seasonal dynamics of plant-pollinator communities. Nature communications 11, no. 1, 2020.

Atieh Khamesi, Eura Shin, and Simone Silvestri. Machine Learning in the Wild: The Case for User-Centered Learning in Cyber Physical Systems. International Conference on Communication Systems and Networks, 2020.

Samuel Berglin, Eura Shin, Jacob Furst, and Daniela Raicu. Efficient learning in computer-aided diagnosis through label propagation. In Medical Imaging 2019: Computer-Aided Diagnosis. International Society for Optics and Photonics, 2019.