portrait

I'm currently a first-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 meaningful applications, such as helping undergraduates manage stress and anxiety on a mobile health app. 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. I also participated in an REU at DePaul University and the University of Southern California and was named a Goldwater Scholar.

(Try refreshing the page). A random landscape generator made by "decomposing" popular fractals!

SELECTED PROJECTS

Physical Robot Assistance with Hair Brushing

As part of the 10-week REU program at USC, I was able to work with Dr. Stefanos Nikolaidis on a physically assistive robotics project. I worked on developing and implementing a hair brushing algorithm for post-stroke paralysis patients. Fortune Magazine covered our demonstration at NeurIPS 2019 here!


OUTCOMES

Publications

Conferences

Khamesi A., Shin E., and Silvestri S. Machine Learning in the Wild: The Case for User-Centered Learning in Cyber Physical Systems (accepted for publication). International Conference on Communication Systems and Networks, 2020.

Shin E., Berglin S., Furst J., and Raicu D. Expanding annotated data with informed labels for weak supervision. International Conference on Machine Learning and Data Mining, 2019.

Berglin S., Shin E., Furst J., and Raicu D. Efficient learning in computer-aided diagnosis through label propagation. In Medical Imaging 2019: Computer-Aided Diagnosis. International Society for Optics and Photonics, 2019.

Presentations

Shin E. , Dennler N., Pocius R., Zhang H., Zamani N., Culbertson H., and Nikolaidis S. Robot assisted hair-brushing. Demonstration track at Conference on Neural Information Processing Systems (NeurIPS), 2019

Tapia A. and Shin E. (2018) Fractals as a tool for introducing computer science concepts for K-12 and beyond. Presented at National Conference on Undergraduate Research. Edmond, Oklahoma. Mentor: Dr. Jerzy Jaromczyk, University of Kentucky.

Shin E., Loewe A., and Dossel O. (2016) Automated Initiation of Fibrillatory Excitation in Monodomain Simulations. Presented at Kentucky Academy of Science Annual Meeting. Louisville, KY. Mentor: Dr. Olaf Dossel and MS Axel Loewe, KIT Biomedicial engineering.

Shin E and Ellis J. (2015). The Development of a Computer Program to Simplify Complex Knot Diagrams using Global Moves. Presented at Posters at the Capitol. Frankfort, KY. Mentor: Dr. Uta Ziegler, WKU Computer Science.

RESUME

CONTACT

Let's grab coffee!

Email: eura.shin@uky.edu