Changhun Lee

Bio

I am a postdoctoral associate at the graduate school of artificial intelligence in Ulsan National Institute of Science and Technology (UNIST). In February 2023, I received my Ph.D. degree and won the best researcher award for my thesis titled "Tackling Three Problems in Controlled Sequence Generations: Bridging Reinforcement Learning with Language Models.".

My research interest lies in the development of large language models (LLMs) and reinforcement learning (RL) with their application in AI4Healthcare & AI4Science. In particular, leveraging RL to align LLMs with human preferences is of the most interest that I am currently focusing on. In this regard, my research topics range from fundamental to applied LLMs+RL research, including but not limited to:

Developing fundamental frameworks, algorithms, and building blocks for controllable LLMs.

Designing alignment mechanisms to enhance the interaction between LLMs and humans.

Deploying an LLM-based service to solve real-world problems in healthcare and science (e.g., nutrition coaching, drug discovery, etc.).

Publications

Most recent publications on Google Scholar.
^‡ indicates equal contribution.

• Selected
• Application
• Research
• All

Fundings

As of September 1, 2023, I have a research grant from the National Research Foundation of Korea for the next 2 years, with permission to use this grant to stay abroad for up to 6 months. This means that I can support myself for 6 months and conduct research as a visiting researcher with the status of a self-funded resident fellow before the official postdoctoral associate period begins. Please feel free to contact me at changhun@unist.ac.kr.

Co-work Opportunities

I am currently looking for a post-doctoral position related to NLP and RL research, with reponsibilities including:

1. studying theoretical foundations of controllable/reliable LLMs,
2. and applying them to solve real-world problems in AI4Healthcare and AI4Science contexts.

History

In February 2015, I got my B.Sc in Economics from Ajou University as an outstanding student in the top 10% of the major GPA., and I enrolled in the master's program in the Department of Industrial Engineering at Ulsan National Institute of Science and Technology (UNIST) in February 2016.

For the first one and a half years (Jan 2016 - June 2017), I focused on studying quantitative research methodologies (e.g., advanced statistics) and sequential modeling (e.g., time-series analysis). Then, I spent half a year as a data analyst intern at Hyundai Mipo Dockyard (July 2017 - Dec 2017), developing language models (LMs) and text-mining algorithms. Completing the internship, I returned to UNIST and transferred to the combined Master-Ph.D program.

I spent the first two years of Ph.D. course (Jan 2018 - Jan 2020) in analyzing real-world problems with advanced text-mining techniques. For the last three years (Feb 2020 - Dec 2022), I focused on solving real-world problems using controllable language models (CLMs).

In February 2023, I wrote my Ph.D thesis on controllable sequence generation, titled "Tackling Three Problems in Controlled Sequence Generations: Bridging Reinforcement Learning with Language Models." and won the best researcher award in UNIST.

From March 2023, I'm joining the Graduate School of Artificial Intelligence at UNIST as a post-doc associate. Currently, I belong to the Service Intelligence Lab that is led by Prof.Chiehyeon Lim, my advisor whom I truly respect and appreciate.

I dream of becoming a researcher who is willing to stand up against prejudice and inequality in the world with logical thinking and a scientific attitude. I am looking forward to a heart-pounding journey of research that will create a better world and promote the future with great colleagues. I will end this article by introducing a quote from one of my favorite scholars, Alfred Marshall:

"Cool head, but warm heart!"

Vitæ

You can download my Curriculum Vitae in PDF file.

• UNIST Mar 2023 - Aug 2023

  Postdoctor Researcher
  Graduate School of Artificial Intelligence
  Research for CLMs based on LMs and RL
• UNIST 2023.02.16

  UNIST Best Research Award Winner
  College of Information and Biotechnology
• UNIST Jan 2018 - Feb 2023

  Ph.D. Student
  Department of Industrial Engineering
  Research for CLMs based on LMs and RL
• Daewoong Pharmaceutical Dec 2018 - Feb 2023

  Scholarship Student
  Daewoong Foundation Scholarship
  AI based Healthcare Research Grant Program
• KIST 2018.11.21

  Minister of Science and ICT Award Winner
  Convergence Research Policy Center
• Hyundai Mipo Dockyard July 2017 – Dec 2017

  Data Analyst, Intern
  Data analysis using LMs and Text-Mining
• UNIST Mar 2016 - June 2017

  M.Sc. Student
  Department of Industrial Engineering
  Research for Sequential Modeling
• Ajou University 2011 - 2015

  B.Sc. Student
  Department of Economics

Acknowledgement

This website uses the website design and template by Martin Saveski