About Me

Hi There 👋
I’m a first-year PhD student at Carnegie Mellon University in the Computational Biology Department. I haven’t decided which lab to join, but I’m interested in general neuroscience projects. Before CMU, I completed my bachelor’s at Seoul National University, majoring in Computer Science & Engineering and Cognitive Neural Computation.

Research Interests

I am interested in Biological and Artificial Intelligence. Specifically, Brain Modeling / Neural Decoding / Representation Learning / Neuro AI

News

• [Aug. 2024] I officially graduated from SNU!
• [Aug. 2024] I started my PhD at CMU!
• [Dec. 2023] My co-first author paper “Early Life Stress Modulates the Genetic Influence on Brain Structure and Cognitive Function in Children” is accepted by Heliyon
• [Nov. 2023] My first author paper “Towards scalable embedding models for spatial transcriptomics data” is accepted for poster presentation at MLCB and here is the video for the virtual presentation

Experiences

• AI for bioMedical Sciences (AIMS) Lab @ UW (Seattle, WA)
  • Advisor: Dr. Su-In Lee
  • Mar 2023 - Oct 2023
• Connectome Lab @ SNU (Seoul, Korea)
  • Advisor: Dr. Jiook Cha
  • Jun 2020 - Dec 2022
• Deep Representation Learning Lab @ SNU (Seoul, Korea)
  • Advisor: Dr. Wonjong Rhee
  • Jul 2021 - Aug 2021
• Artificial Society (Startup company) (Seoul, Korea)
  • Mar 2022 - Jul 2022

Education

• Carnegie Mellon University (Aug 2024 - Present)
  • Computational Biology Ph.D. Student
• Seoul National University (Mar 2019 - Aug 2024)
  • BS in Computer Science and Engineering
  • BS in Cognitive Neural Computation (student-designed major)
  • Coursework
    • Data Science: Artificial Intelligence, Machine Learning, Deep Learning
    • Neuroscience: Neurobiology, System Neuroscience, Cell Biology
    • Mathematics: Linear Algebra, Differential Equation, Maltivariate Calculus
    • Computer Science: Data Structure, Algorithm, Computer Architecture
• University of Washington (Mar 2023 - Jun 2023)
  • Exchange Student
  • Coursework
    • Computational Biology Capstone, Neuroscience Seminar

Publications

1. MLCB

   Towards scalable embedding models for spatial transcriptomics data

   Seo-Yoon Moon, Ethan Weinberger, Su-In Lee

   Machine Learning in Computational Biology, 2023

   Paper Poster Video Poster Presentation


2. Heliyon

   Early Life Stress Modulates the Genetic Influence on Brain Structure and Cognitive Function in Children

   Hee-Hwan Wang*, Seo-Yoon Moon*, Hyun-Jin Kim, KaKyeong Kim, Woo-Young Ahn, Yoonjung Yoonie Joo, Jiook Cha

   Heliyon, 2023

   Paper Web Page


3. Human Brain Mapping

   The sexual brain, genes, and cognition: A machine-predicted brain sex score explains individual differences in cognitive intelligence and genetic influence in young children

   Kakyeong Kim, Yoonjung Yoonie Joo, Gun Ahn, Hee-Hwan Wang, Seo-Yoon Moon, Hyeonjin Kim, Woo-Young Ahn, Jiook Cha

   Human Brain Mapping, 2022

   Paper


4. JAMA network open

   Association of genome-wide polygenic scores for multiple psychiatric and common traits in preadolescent youths at risk of suicide

   Yoonjung Yoonie Joo, Seo-Yoon Moon, Hee-Hwan Wang, Hyeonjin Kim, Eun-Ji Lee, Jong Hun Kim, Jonathan Posner, Woo-Young Ahn, Incheol Choi, Jae-Won Kim, Jiook Cha

   JAMA network open, 2022

   Paper Web Page


5. CinC

   Learning ECG Representations for Multi-Label Classification of Cardiac Abnormalities

   Jangwon Suh, Jimyeong Kim, Eunjung Lee, Jaeill Kim, Duhun Hwang, Jungwon Park, Junghoon Lee, Jaeseung Park, Seo-Yoon Moon, Yeonsu Kim, Min Kang, Soonil Kwon, Eue-Keun Choi, Wonjong Rhee

   Computing in Cardiology, 2021

   Paper Web Page

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