Eura Shin


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


I’m a third year PhD candidate in computer science at Harvard University, co-advised by Finale Doshi-Velez (at the Data to Actionable Knowledge lab) and Susan Murphy. I’m excited about modeling user behavior on mobile health apps, with the goal of providing users with personalized interventions. Lately I’ve been thinking about how to model people’s daily decision making processes, surrounding health and behavior change, with reinforcement learning. I am grateful for the support of the NSF Graduate Research Fellowship.

During my CS undergrad at the University of Kentucky, I had the pleasure of working with Simone Silvestri on algorithms for smart home applications. I also participated in some wonderful REU programs at DePaul University (mentored by Daniela Raicu) and USC (mentored by Stefanos Nikolaidis).



Invited Talks

Teaching and Mentorship

I am a teaching fellow and course developer for CS290A & CS290B: Effective Research Practices & Academic Culture (Fall 2022 - Spring 2023). We are currently working on making the teaching materials available online. In Spring 2022, I served as a teaching fellow for STAT234: Sequential Decision Making.

I serve as a direct research mentor for a number of undergraduate and master’s students in the intersection of reinforcement learning and human-computer interaction.

I’ve developed the material for a number of guest lectures on Machine Learning, Reinforcement Learning, and Research Skills:


Leadership I was one of the founding member of the University of Kentucky ACM-W chapter. During this time, I created a series of introductory CS workshops for high-school students from counties in Kentucky without a computer science class/program.

Talks and workshops