I'm a senior data science analyst in the Artificial Intelligence Cardiovascular Innovation Research at Mayo Clinic. 

Google Scholar / CV / LinkedIn

I received my Ph.D. at the Program in Digital Contents and Information in the Graduate School of Convergence Science and Technology at Seoul National University in 2021 under the supervision of Wonjong Rhee.

News

• April 2023: Started Senior Data Science Analyst at Mayo Clinic working in the AI Cardiovascular Innovation Lab.

• Mar 2023: One of the finalists (top 5) for the Young Investigator Award at the American College of Cardiology (ACC) 2023. 

• Jan 2022: Started Research Fellow at Mayo Clinic working in the AI Cardiovascular Innovation Lab.

• Sep 2021: Received 'Post-Doctoral Domestic and Overseas Training' grant from the National Research Foundation of Korea. 

• Mar 2021: Started PostDoc at Seoul National University working in the  Deep Representation Learning (DRL) Lab. with prof. Wonjong Rhee.

• Feb 2019: Defended Ph.D. Thesis at Seoul National University under the supervision of Wonjong Rhee.

Publications

2023

• Correlation between artificial intelligence-enabled electrocardiogram and echocardiographic features in aortic stenosis

Saki Ito, Michal Cohen-Shelly, Zachi I Attia, Eunjung Lee, Paul A Friedman, Vuyisile T Nkomo, Hector I Michelena, Peter A Noseworthy, Francisco Lopez-Jimenez, Jae K Oh

European Heart Journal-Digital Health

2022

• AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense

Duhun Hwang*, Eunjung Lee*, Wonjong Rhee

The 26th International Conference on Pattern Recognition (ICPR), 2401-2407

2021

• Deep learning prediction for electrical cardioversion of patients with atrial fibrillation

Soonil Kwon, Eunjung Lee, Eue-Keun Choi, So-Ryoung Lee, Seil Oh, Wonjong Rhee

The 65th Annual Scientific Meeting of The Korean Society of Cardiology

• Learning ECG Representations for Multi-Label Classification of Cardiac Abnormalities

Jangwon Suh, Jimyeong Kim, Eunjung Lee, Jaeill Kim, Duhun Hwang, Jungwon Park, Junghoon Lee, Jaeseung Park, Seo-Yoon Moon, Yeonsu Kim, Min Kang, Soonil Kwon, Eue-Keun Choi, Wonjong Rhee

The PhysioNet/Computing in Cardiology Challenge 2021

• AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense

Duhun Hwang*, Eunjung Lee*, Wonjong Rhee

ICML Workshop on Adversarial Machine Learning

• Individualized Short-Term Electric Load Forecasting With Deep Neural Network Based Transfer Learning and Meta Learning

Eunjung Lee and Wonjong Rhee

IEEE Access, 9, 15413-15425. [IF 3.75]

2020

• Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks

Hyunghun Cho, Yongjin Kim, Eunjung Lee, Daeyoung Choi, Yongjae Lee, Wonjong Rhee

IEEE Access, 8, 52588-52608. [IF 3.75]

• Prediction of Recurrence of Atrial Fibrillation after Electrical Cardioversion Aided by Deep Learning Analysis 

Soonil Kwon, Eunjung Lee, Joonki Hong, Eue-Keun Choi, Byunghwan Lee, Seil Oh, Yung Yi, Wonjong Rhee 

The Korean Society of Cardiology.

2019

• The ENERTALK dataset, 15 Hz electricity consumption data from 22 houses in Korea 

Changho Shin, Eunjung Lee, Jeongyun Han, Jaeryun Yim, Wonjong Rhee, Hyoseop Lee 

Scientific data, 6(1), 1-13. [IF 5.54]

• Defining virtual control group to improve customer baseline load calculation of residential demand response 

Eunjung Lee, Kyungeun Lee, Hyoseop Lee, Euncheol Kim, Wonjong Rhee 

Applied Energy, 250, 946-958.  [IF 8.85]

2018

• Assuring explainability on demand response targeting via credit scoring 

Kyungeun Lee, Hyesu Lee, Hyoseop Lee, Yoonjin Yoon, Eunjung Lee, Wonjong Rhee

Energy, 161, 670-679. [IF 6.23]

• Improving the Energy Saving Process with High-Resolution Data: A Case Study in a University Building 

Jeongyun Han, Eunjung Lee, Hyunghun Cho, Yoonjin Yoon, Hyoseop Lee, Wonjong Rhee 

Sensors, 18(5), 1606.  [IF 3.03]

2017

• Who Should Participate in DR Program? Modeling with Machine Learning and Credit Scoring 

Kyungeun Lee, Eunjung Lee, Hyesu Lee, Hyoseop Lee, Yoonjin Yoon, Wonjong Rhee 

Behavior Energy and Climate Change conference, 2017

• Churn prediction of mobile and online casual games using play log data 

Seungwook Kim, Daeyoung Choi, Eunjung Lee, Wonjong Rhee

PloS one, 12(7), e0180735. [IF 2.77]

• Role of Demand Response in Small Power Consumer Market and a Pilot Study 

Eunjung Lee, Kyungeun Lee, Hyesu Lee, Hyoseop Lee, Euncheol Kim, Wonjong Rhee 

The Journal of Korean Institute of Communications and Information Sciences, 42(4), 915-922. 

Teaching

• Seoul National University Cooperation R&D Center, Samsung, Data Science Practicum TA (2017 - 2021)

Makes in-class Kaggle competitions, and runs the competitions for superior Samsung employees selected for AI/ML-specialized training 

• Seoul National University, Deep Learning TA (2018)

• Seoul National University, Machine Learning TA (2016)