Gyeongjo Hwang

Scientific Publications

CS Conference Papers

• G. Suh*, G. Hwang*, S. Kang, D. Baek, and M. Kang, "Enforcing Constraints in RNA Secondary Structure Predictions: A Post-Processing Framework Based on the Assignment Problem," International Conference on Machine Learning (ICML), Jul. 2024

• J. Cho, G. Hwang and C. Suh, ‘‘A fair classifier using kernel density estimation’,’ Neural Information Processing Systems (NeurIPS), Dec. 2020

• J. Cho, G. Hwang and C. Suh, “A fair classifier using mutual information,” Proceedings of the IEEE International Symposium on Information Theory (ISIT), June 2020

• H. Kim, K. Lee, G. Hwang and C. Suh, “Crash to not crash: Learn to identify dangerous vehicles using a simulator,” Association for the Advancement of Artificial Intelligence (AAAI), Jan. 2019 (oral presentation, website)

Journal Papers

• S. Kang, D. Lee, G. Hwang, K. Lee, M. Kang, "ASOptimizer: optimizing chemical diversity of antisense oligonucleotides through deep learning," Nucleic Acids Research (NAR), Jul. 2025.

• G. Hwang*, M. Kwon*, D. Seo, D.H. Kim, D. Lee, K. Lee, E. Kim, M. Kang, and J.-H. Ryu, "ASOptimizer: Optimizing Antisense Oligonucleotides through Deep Learning for IDO1 Gene Regulation," Molecular Therapy Nucleic Acids (MTNA), Apr. 2024.

Domestic Papers

• G. Hwang, K. Lee and C. Suh, “Learn to identify dangerous vehicles using synthetic data,” Joint Conference on Communications and Information, May 2019 (Best Paper Award).

Research Projects (After 2020)

Non-disclosure Agreements:

Research Institutions - Samsung Medical Center, Gachon University Gil Medical Center, Sookmyung Women's University, CHA University

Biotechs - 1 NASDAQ-listed company, 2 KOSDAQ-listed companies

Samsung Medical Center

• Acute deterioration prediction system for emergency rooms (ERs) and intensive care units (ICUs)

• Cancer recurrence prediction system

Research Projects (Before 2020)

Samsung Medical Center

• Implemented an image search engine on a database of X-ray images

SK Hynix

• Implemented a Fault Prediction System for wafer manufacturing

Samsung DMC

• Developed an image search algorithm w/ near optimal accuracy while maintaining query speed of 10 milisec/image on a database of 500 milion images

Education

Korea Advanced Institute of Science and Technology (KAIST) 

• BS in Mathematics (National Science and Engineering Scholarship)

• MS in Electrical Engineering (National Science and Engineering Scholarship)

Leadership

Republic of Korea Army

• Squad Leader (now a Civil Defense Member)

• 1st-class in physical test: 90 push-ups in 2 min, 90 sit-ups in 2 min, 12m 20s for 3km running

• 1st-class in shooting test: 20 out of 20 targets, 100/200 meters away

Past Work Experiences

(Science Education) AI Courses for Partner Companies

• Practice Session Instructor, Project Instructor, Teaching Assistant (Jul. 2019 ~ Sep. 2019, Oct. 2020, Dec. 2020, Feb. 2021)

• Partners: Samsung Electronics, SK Hynix, Hyundai NGV, Seongnam city

(Finance) KIS Pricing

• Data Scientist, Python Developer (Jun. 2017 ~ Jul. 2017)

• Designed an algorithmic trading system that is compatible with the Interactive Brokers' HTS

• Developed a Python program for backtesting investment strategies

(Finance) Robust Asset Management

• Global Macro Research Intern (Mar. 2017 ~ Jun. 2017)

• Analyzed daily movements of financial instruments such as currencies, bonds, stocks and commodities

• Translated FED statements, institutional investors' reports, and news articles

Extracurricular Activity & Hobby

UNJ Translation

• Translated <After Piketty: The Agenda for Economics and Inequality> ("애프터 피케티") and <Rising Sun>("일본 제국 패망사")

Undergrad Finance Study Club ("KFAC")

• Learned/applied comparable peers-based and discounted cash flow-based valuation methods on KOSPI-listed companies

• Managed and wrote in-club market news "Market Daily Press"

Undergrad Taekwondo Club ("Active Volcano")

• Taekwondo 3rd Dan. Coach of campus Taekwondo club

Samsung Dream Class Math Tutor