HA NA CHO
EDUCATION
The University of California, Irvine September 2023 - present
Ph.D. Informatics
The University of Chicago September 2019 - August 2020
M.S. Biomedical Informatics
Roosevelt University September 2016 - June 2018
B.S. Biology
SKILLS
HCI: Coding Analysis, Interviews, Observation, Usability testing, Qualitative and quantitative
analysis, Surveys
Computer Programming: Python (Numpy, Pandas, Scikit-learn, Stellargraph, Matplotlib), R,
Stata, Neo4J, GIS, SQL, GitHub
Documentation: Microsoft Word, Microsoft Excel, Google Page
Communication: Korean (native), English (fluent)
WORK EXPERIENCE
University of California Irvine |Researcher Engagement Specialist September 2023 - present
Irvine, CA
and researchers to ensure precise project execution, and adhere to project timelines, while also
provisioning essential resources.
Asan Medical Center|Senior Data Scientist February 2021 - June 2023
Seoul, South Korea
RESEARCH EXPERIENCE
University of California Irvine |Graduate Student Researcher September 2023 - present
Irvine, CA
Northwestern University|Capstone Project January 2020 - August 2020
Chicago, IL
University of Chicago |Research Technician July 2018 - February 2019
Chicago, IL
Seoul National University Hospital|Student Researcher Intern Summer 2012 - 2014
Seoul, South Korea
PUBLICATIONS
Scientific Reports 2023
Heejung Choi, Hee Jun Kang, Imjin Ahn, Hansle Gwon, Yunha Kim, Hyeram Seo, Ha Na
Cho, JiYe Han, Minkyoung Kim, Gaeun Kee, Seohyun Park, Osung Kwon, Jae-Hyung Roh,
Ah-Ram Kim, Ju Hyeon Kim, Tae Joon Jun , Young-Hak Kim.“Machine learning models to
predict the warfarin discharge dosage using clinical information of East Asian inpatients”
Scientific Reports (2023).
Computers in Biology and Medicine 2023
Hansle Gwon, Imjin Ahn, Yunha Kim, Hee Jun Kang, Hyeram Seo, Heejung Choi, Ha Na
Cho, Minkyoung Kim, JiYe Han, Gaeun kee, Seohyun Park, Kye Hwa Lee, Tae Joon Jun, Young-Hak Kim. “LDP-GAN : Generative adversarial networks with local differential privacy
for patient medical records synthesis” Computers in Biology and Medicine (2023).
Health Care Management Science 2023
Hyeram Seo, Imjin Ahn, Hansle Gwon, Hee Jun Kang, Yunha Kim, Ha Na Cho, Heejung
Choi, Minkyoung Kim, Jiye Han, Gaeun Kee, Seohyun Park, Dong-Woo Seo, Tae Joon Jun, Young-Hak Kim. “Prediction of hospitalization and waiting time within 24 hours of emergency department patients with unstructured text data” Health Care Management Science (2023).
Scientific Reports 2022
Ha Na Cho, Imjin Ahn, Hansle Gwon, Hee Jun Kang, Yunha Kim, Hyeram Seo, Heejung Choi, Minkyoung Kim, Jiye Han, Gaeun Kee, Tae Joon Jun, Young-Hak Kim. "Heterogeneous
Semantic Graph Construction and HinSAGE Learning from Electronic Medical Records."
Scientific Reports (2022).
Computer Methods and Programs in Biomedicine 2022
Yunha Kim, Imjin Ahn, Ha Na Cho, Hansle Gwon, Hee Jun Kang, Hyeram Seo, Heejung
Choi, Kyu-Pyo Kim, Tae Joon Jun, Young-Hak Kim. "RIDAB: Electronic medical record-
integrated real-world data platform for predicting and summarizing interactions in biomedical
research." Computer Methods and Programs in Biomedicine (2022).
JMIR Med Inform 2021
Imjin Ahn, Hansle Gwon, Heejun Kang, Yoonha Kim, Hyeram Seo, Heejung Choi, Ha Na
Cho, MinKyung Kim, Tae Joon Jun, Young-Hak Kim.• "Machine Learning–Based Hospital
Discharge Prediction for Patients with Cardiovascular Diseases: Development and Usability
Study." JMIR Med Inform (2021).
JMIR Public Health Surveill 2021 Hansle Gwon, Imjin Ahn, YooKim, Hee Jun Kang, Hyeram Seo, Ha Na Cho, Heejung Choi, Tae Joon Jun, Young-Hak Kim.• "Self–Training with Quantile Errors for Multivariate Missing
Data Imputation for Regression Problems in Electronic Medical Records." JMIR Public Health
Surveill (2021).
PREPRINTS
JMIR 2023
Ha Na Cho, Tae Joon Jun, Young-Hak Kim, Hee Jun Kang, Imjin Ahn, Hansle Gwon, Yunha
Kim, Hyeram Seo, Heejung Choi, Minhyoung Kim, JiYe Han, Gaeun Kee, Seohyun Park, Soyoung Ko. "Task-Specific Transformer-Based Language Models in Medicine: A Survey." JMIR
(2023).
Scientific Reports 2022
Ha Na Cho, Imjin Ahn, Hansle Gwon, Hee Jun Kang, Yunha Kim, Hyeram Seo, Heejung Choi, Minkyoung Kim, Jiye Han, Gaeun Kee, Tae Joon Jun, Young-Hak Kim. "Explainable
predictions of a machine learning model to forecast the postoperative length of stay for severe
patients." Scientific Reports (2022).