Adam Balint

Adam Balint

About Me

AI Research Engineer @ Noul

I am an AI research engineer working it South Korea at Noul. I graduated from the university of Guelph where I obtained my Masters of Applied Science under the supervision of Dr. Graham Taylor. During my studies, I was a member of the Machine Learning Research Group and the Vector Institute. I have a BSc in Computer Science from Brock University. During my undergraduate studies I attended Yonsei University in Seoul, South Korea as an exchange student. I speak 2.5 languages; speaking English and Hungarian fluently, while being in the process of learning Korean.

Research and Interests

My current research focuses on the application of AI to the healthcare and medical field. Specifically using AI in hematology. Prior to that, my thesis research focused on Generative Adversarial Networks to produce satellite images from binary masks to be used for data augmentation and dataset expansion.

I am interested in using Machine Learning and Deep Learning in practical applications involving images, video, audio and natural language.

  • ResidenceSouth Korea
  • InterestsLanguages, Photography, History, Badminton, Table Tennis, Karaoke



May 2017 - December 2019

Masters of Applied Science in Engineering Systems and Computing

University of Guelph

Completed Courses: Introduction to Machine Learning, Deep Learning, Machine Vision, Computational Statistics

September 2012 - April 2017

Bachelor of Science in Computer Science

Brock University

Completed Courses: Artificial Intelligence, Machine Learning, Artificial Neural Networks, Genetic Programming, Algorithms, Computer Graphics, Software Engineering

September 2014 - June 2015

Exchange Student

Yonsei University

Completed Courses: Computer Networking, Critical Reasoning, Entrepreneurship and Strategy, International Business Environment, Intensive Korean Language Level 1 and 2


July 2020 - Current

AI Research Engineer

Noul Co., Ltd.

Researching and applying AI for hematology

May 2017 - December 2019

Graduate Research Assistant

University of Guelph

Exploring the use of generative adversarial networks for data augmentation

Jan 2019 - May 2019

Applied Machine Learning Intern


Developed and iterated on internal tools to increase efficiency of data validation and taxonomy creation

Sept 2017 - April 2017

Graduate Teaching Assistant

University of Guelph

Courses: 2nd Year Differential Equations, 3rd Year Intelligent Systems

Conducted and graded weekly labs and assignments

Programming Languages





Web Development





Spoken Languages