About me

I am a master's student in Computer Science at the University of Maryland, College Park, where I conduct research under the guidance of Prof. Ruohan Gao.

I earned my B.S. in Computer Science from Yonsei University, graduating summa cum laude and was honored as the department's valedictorian. During my undergraduate studies, I had the privilege of being advised by Prof. Seon Joo Kim.

My research interests broadly center on multisensory machine learning, with the goal of enabling machines to understand and interact with the world through human sensory modalities, including vision, audition, touch, and olfaction. Beyond this focus, I am excited by a broad range of machine learning problems that bridge fundamental research and real-world impact.

For more details, please see my CV.

Open to full-time opportunities starting May 2027.
Machine Learning Engineer · Applied Scientist · Research Scientist/Engineer · Software Engineer

Education

University of Maryland logo
University of Maryland, College Park
Sep 2025 – May 2027
College Park, MD, United States
M.S. in Computer Science
Yonsei University logo
Yonsei University
Feb 2018 – Feb 2025
Seoul, Republic of Korea
B.S. in Computer Science · Summa Cum Laude · Valedictorian
Chungnam Science High School logo
Chungnam Science High School
Feb 2016 – Jan 2018
Gongju, Chungnam, Republic of Korea
Gifted School for Mathematics and Science · Early Honors Graduate

Industry Experience

Microsoft logo
Microsoft · Applied Scientist Intern
Jun 2026 – Aug 2026
Redmond, WA, United States
Sequence Modeling · AI Agents & Tooling
Miraflow AI logo
Miraflow AI · Founding Machine Learning Engineer
Mar 2024 – May 2025
Kirkland, WA, United States
Video Generation · MLOps & Infrastructure

Research Experience

University of Maryland logo
University of Maryland · Graduate Researcher
Jun 2025 – Present
College Park, MD, United States
Embodied AI · Multimodal Learning
Purdue University logo
Purdue University · Visiting Researcher
Mar 2024 – Jun 2024
West Lafayette, IN, United States
Real-Time Multimodal ML Systems
Yonsei University logo
Yonsei University · Research Intern
Jul 2022 – Jun 2024
Seoul, Republic of Korea
Computer Vision · Video Understanding

Publications

* denotes equal contribution

CoRL 2026
OdorSpaces: Visual-Olfactory Embodied Navigation in 3D Environments
Changyeon Lee, Kelin Yu, Zheng Wei, Shuna Ni, Ruohan Gao
[paper: to be updated][code: to be updated]
CVPR 2026 Workshop
Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024
Nuria Alina Chandra, Ryan Murtfeldt, Lin Qiu, Arnab Karmakar, Hannah Lee, Emmanuel Tanumihardja, Kevin Farhat, Ben Caffee, Sejin Paik, Changyeon Lee, Jongwook Choi, Aerin Kim, Oren Etzioni
IEEE IRC 2024
Cost-Efficient and Effective Counter Unmanned Aerial System via Visual-Acoustic Sensing
Changyeon Lee*, Dongju Yu*, Soyeon Cho*, Dane W. Hindsley, Halaevalu F. Patterson, Megan A. Clecak, Eric T. Matson
ICML 2024 Workshop
DistilDIRE: A Small, Fast, Cheap and Light Diffusion Synthesized Deepfake Detection
Yewon Lim*, Changyeon Lee*, Aerin Kim, Oren Etzioni
ICML 2024 Workshop
The Tug-Of-War Between Deepfake Generation and Detection
Hannah Lee, Changyeon Lee, Kevin Farhat, Lin Qiu, Steve Geluso, Aerin Kim, Oren Etzioni
CVPR 2024 Workshop
Towards Interpretable Controllability in Object-Centric Learning
Jinwoo Kim*, Janghyuk Choi*, Jaehyun Kang, Changyeon Lee, Ho-Jin Choi, Seon Joo Kim