About Me

Hello! This is Sanghyun Yi. I'm interested in bridging the gap between biological and artificial intelligence. I wonder if a clue could emerge from harmonizing decision neuroscience with artificial intelligence. I’m thus interested in bi-directional research: understanding the mystery of human decision making by machine learning algorithms and solving machine learning problems from the results of neuroscience. In my free time, I love going to the gym:) Please check my CV for more, and up-to-date information.


Applied Scientist Intern

Mar 2018 - Aug 2018

Undergraduate Research Intern

Jan 2016 - Dec 2016

Company Commander (Sergeant)

Oct 2013 - Jul 2015

Undergraduate Research Intern

Jun 2011 - Aug 2011


Kiyohito Iigaya, Sanghyun Yi, Iman A. Wahle, Koranis Tanwisuth, John P. O'Doherty, "Aesthetic preference for art emerges from a weighted integration over hierarchically structured visual features in the brain", 2020.
PDF    Media: Science
Sanghyun Yi, Rahul Goel, Chandra Khatri, Alessandra Cervone, Tagyoung Chung, Behnam Hedayatnia, Anu Venkatesh, Raefer Gabriel and Dilek Hakkani-Tur, "Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators", in International Conference on Natural Language Generation (INLG), Tokyo, Japan, 2019. (Oral presentation)
Kiyohito Iigaya, Sanghyun Yi, Iman Wahle, Sandy Tanwisuth and John P. O'Doherty, "Science meets art: Attribute-based computation as a general principle for building subjective value", in The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM), Montréal, Québec, Canada, 2019.
Chihyung Jeon , Hanbyul Jeong , Heesun Shin , Heewon Kim , Sungeun Kim and Sanghyun Yi, "Can AI Read Your Politics? Social and Ethical Implications of Artificial Political Intelligence", in When Robots Think. Interdisciplinary Views on Intelligent Automation, Münster, Germany, 2018.
Sanghyun Yi, Jeehang Lee, Changhwa Lee, Juno Kim, Sujin An and Sangwan Lee, "A Competitive Path to Build Artificial Football Agents for AI Worldcup", in IEEE/IEIE International Conference on Consumer Electronics (ICCE) Asia, Jeju, Korea, 2018.
Sanghyun Yi, Jeehang Lee and Sangwan Lee, "Maximally separating and correlating model-based and model-free reinforcement learning", in Computational and Systems Neuroscience (Cosyne), Denver, USA, 2018.
Sanghyun Yi and Kyomin Jung, "A Chatbot by Combining Finite State Machine, Information Retrieval, and Bot-Initiative Strategy", in 1st Proceedings of Alexa Prize (Alexa Prize 2017), Las Vegas, USA, 2017.


Sang Wan Lee, JeeHang Lee, Sanghyun Yi, "Apparatus and method for eliciting optimal strategy of the humans in the interactive games using artificial intelligence", US patent pending (16381954)
Sang Wan Lee, JeeHang Lee, Sanghyun Yi, "Apparatus and method for eliciting optimal strategy of the humans in the interactive games using artificial intelligence", Korean patent (10-2018-0089185)


Full tuition & fee for outstanding academic performance.

Semifinalist, The Alexa Prize

Oct 2016 - Aug 2017
10th place as an unsponsored team among 18 semifinalists which include 12 sponsored teams.
Achieved 85.1% accuracy on food image classification. The only undergraduate awardee.
1st place at the preliminary league and 3rd place at the final tournament where the top 4 teams of the preliminary participated in. Awarded approx $1500.
Gave a talk about the result at The 5th International Conference on Robot Intelligence Technology and Applications(RiTA).


TA for Psy 13:Introduction to Cognitive Neuroscience
Spring 2020, 2021
TA for EC/ACM/CS 112:Bayesian Statistics
Winter 2020, 2021

Skills & Proficiency

Pytorch, TensorFlow