Welcome to My Homepage!
I’m an undergraduate student at Seoul National University. I always study and work hard to achieve my massive dream. However, I also enjoy having wonderful experiences in my life, to enlarge my viewpoints. This page was built to show me and to make networks with other people. I like making relationships with those who have a lot of passion. If you are interested in my story, please feel free to contact me. Why don’t we have a cup of coffee?
About This Blog
First of all, this page includes a brief instruction of me and my blog.
On the left bar, you can see the ‘Links’ toggle.
(under construction)
Below the ‘Links’ section, you can see the ‘Posts’ toggle. I am currently posting what I’ve learned in that section. The subjects of study vary depending on I am learning, but I especially focus on topics related to my majors: physics, biology, and computer science.
Most of the posts will be written in Korean.
Post List
Category A: Learning Materials
- Lecture & Textbook Review
- Paper Review
Category B: Fields of Study
Category C: Brain Science
- Neurobiology
- Experiments in Neuroscience
- Cognitive Sciences
- Computational Neuroscience
- Neuro-AI
About Me
1. Personal Information
Name | Seongsu Lee
Birthdate | July 27, 2001
Contact | dltjdtn0727@snu.ac.kr
2. Interests
- Computational Neuroscience
- Learning and Memory
- AI Interpretability
- Complexity Science
- Educational Assessment
3. Education
-
Bachelor’s degree in Seoul National University | Mar 2020 - Feb 2027 (expected)
- Major in Physics Education
- Double major in Biological Sciences & Computer Science and Engineering
- 177 credits, 3.89/4.3 GPA
- Leave of absence (Sep 2022 - Jun 2023)
-
CERN-KPS Summer Student | Jul 2024
- Selected as a top 10 competitive physics-majored undergraduate in Korea
- Attended lectures related to the researches at CERN
- Applied DL model to particle physics data as an independent study
- Personal Review (Korean)
-
Computational Neuroscience Winter School | Feb 2025
- Attended day-long lectures for three days
- Studied the region-dependent timescale of rodent brain using autoregressive models
- Personal Review (Korean)
4. Experience
4.1. Research Experience
Undergrad intern, DataScience Lab. | Jun 2023 - Current
- [ADVISOR] Prof. Junghyo Jo
- Learned PyTorch, and mainly discussed about statistical machine learning
- Projects
- Refining benchmark for feature attribution methods: Logically figured out the key pitfall of the current benchmark for XAI attribution methods (ROAR). Partially participated in paper writing for NeurIPS Workshop. | Jun 2023 - May 2024
- Variational Garrote regression analysis on SNP data: Collected and aligned OpenSNP data to handle them easily with pytorch. Advised biological concepts of SNP to co-workers as a biology-majored student. | Feb 2024 - Mar 2024
- Extracting knowledge neurons in LLMs: Individual project; Tried out to contribute to the ROME-based LLM editing field. Applied ROME and MEMIT to BERT. Checked if the ‘reversal curse’ problem still appears in the edited language models. | Mar 2024 - May 2024
- Microstate Response Model: A New Statistical Mechanics-Based IRT: Individual project. (ongoing) | Sep 2025 - Current
- Transient Feature Tracking in Training Large Language Models: Individual project. (ongoing) | Feb 2026 - Current
Undergraduate Independent Study 1 | Apr 2024 - Aug 2024
- [ADVISOR] Prof. Juyong Lee
- Projects
- BBB-penetrable drug screening via modeling IGF1r-targeting peptides: Predicted BBB penetrancy of a series of ligands using neural network regression and RdKit. Generated some SMILES samples that may penetrate BBB using ChemBERT model fine-tuned through active learning (AL) scheme.
Research Practice Program, CoCiLa | Jun 2024 - Dec 2024
- [ADVISOR] Prof. Hyoung F. Kim
- Projects
- Monkey Deep Brain Geometry Analysis and LSTM Modeling: Calculated the geometrical properties of macaque monkeys’ brain representations from Neuropixels electrophysiology recording data. Using LSTM modeling, examined whether two concepts or two sensations are separable and generalizable on the representation.
Undergrad intern, Kim Lab. of the Neurobiology | Feb 2025 - Jul 2025
- [ADVISOR] Prof. Sung-Yon Kim
- Learned several wet-lab techniques for mouse-model neurobiology
- Projects
- Effect of Restraint Stress on Feeding Behavior in Mice: Conducted several mouse experiments related to the publication. Mainly contributed to the definition of feeding bout, using statistical modeling methods. Correlated the neural activity of mice to their behavioral pattern using deep learning.
4.2. Teaching/Educational Experience
- 7 consecutive attempts of the Korean SAT to acquire recent trends in education | 2019 - 2025
- Essays: (1)
- 88 hours of educational volunteering
- Science program presenter at Seulgisam Children’s Library | 2018 - 2019
- Educational Volunteer Program 1 : Tutoring for low-income students | 2021
- Educational Volunteer Program 2 : TA at SSEI Gifted Class | 2022
- A series of private tutoring experiences
- Mathematics, biology, and physics
- Highschool Physics I, II TA at SDIJ (2020), ETOOS (2022)
- Korean SAT Trial Test Reviewer for Highschool Physics II at RuleBreakers | 2020 - 2023
- Korean SAT Trial Test Examiner for Highschool Physics II at RuleBreakers | 2021 - 2023
- Created 100+ high-quality physics problems
- Teacher of Highschool Biology I Online Lecture for Gifted at PrivateNote (30 hrs) | 2023
- College Physics 1 Pre-degree TA at Seoul National University | 2025
- Project Leading Mentor of the LG AI Teenagers’ Camp | 2025
- Elementary Physics 1 Undergraduate TA at Seoul National University | 2025
- School Teaching Practicum at SNU Girls’ Middle School | 2025
- Representative of the physics student teachers
- Leader of the Studet Teacher Choir
- Middle-school class TA at Gangnam Future Education Center | 2026
4.3. Activities
- SNU College of Education Freshmen Program Coordinator | Nov 2020 - Mar 2021
- Leading Student of Summer Peer Group Seminar | Mar 2024 - Aug 2024
- [ADVISOR] Prof. Hyeyoung Shin
- Held a student-leading official lecture course about computational neuroscience
- 2026 SNU FastMRI Challenge Organizer | Feb 2026 - Sep 2026
- [ADVISOR] Prof. Jongho Lee
- Seminar Presentor at 2024 SNU-KAIST-POSTECH Physics Exchange Meeting | Aug 2024
- Seminar Presentor at SNU How I Use Notion | Nov 2024
4.3.1. Club Activities
- SHDD (Schrödinger’s Dog, Department band) | Mar 2020 - May 2022
- Guitar & vocal of the Physics Education Department band
- (2022) Leader of the band
- SNU Kendo Team | Sep 2022 - Jan 2026
- Men’s 1st team (Sep 2023, May 2025)
- Messenger (Event organizer), 22nd UTxSNU Kendo Friendship Match | 2025
- Managed year-long communication with the University of Tokyo’s students via e-mail
- Led the organization of a 4-day event with 100+ participants, including logistics (venue/hotel/bus/gym reservations, receptions), program operations (main match, practice sessions, sightseeing, parties, mementos, uniforms, brochures), and related HR coordination
- Developed a practice attendance leaderboard website for participants selection
- Personal Review (Korean)
- Enraged Emu (Machine learning study group) | Mar 2023 - Aug 2025
- BrOKA (Brain Observatory and Knowledge Academy, Brain science club) | Dec 2023 - Aug 2024
- (currently SNeuro)
- Co-founder & 1st vice-president of the club
- Part of Summer Peer Group Seminar
- Seed of Art (SNU-Ehwa art & voluntary club) | Mar 2026 - Current
- The 27th cohort of the exhibition facility team
5. Publication
- Geometric Remove-and Retrain (GOAR): Coordinate-Invariant Explainable AI Assessment
- NeurIPS Workshop XAIA 2023 | accept
6. Honors & Awards
2nd place, "2050 미래인: 인공지능과 우리의 삶" 시나리오 공모전 | Nov 2024
Issued by SNU ELSI, Art center NABI
Team MIRAGE (with Yujin Shin, Yeomyung Bark)
- Awarded KRW 1M
Received the Excellence Award (top 6, out of 22 teams) for writing a scenario about a future AI service called MIRAGE. Contributed ideas that AI may add little to physical labor but could significantly affect intellectual, creative, and especially emotional fields.
4th place, SNU FastMRI Challenge | Sep 2025
Issued by SNU ECE, AIRS Medical
Team sMaRtIf (with Woojin Lee)
- Awarded KRW 1.25M
Participated in one of the largest programming competition at SNU on MRI reconstruction algorithms and received 4th place (out of 180 teams). I primarily contributed by optimizing the PromptMR+ model training under an 8 GB GPU VRAM constraint, designing loss functions, and implementing a mixture-of-experts strategy. I also developed major parts of the team’s source code from scratch.
2nd place, SNU AI Native Campus Competition | Dec 2025
Issued by SNU OIST, Naver Cloud, MindLogic
Team SNUGenius (with Yeji Jung, Chanyeong Park, and Seunghwan Kim)
- Awarded KRW 3M
Developed an AI-based academic affairs management system and received the Grand Prize (top 3, out of 143 teams). Mainly contributed to designing the LLM-based system architecture.
6.1. Scholarships
- Sinyang Foundation Scholarship | Mar 2021
- A one-year merit-based full scholarship
- Cheonggwan Foundation Scholarship | Mar 2022
- A one-semester merit-based full scholarship
- Cheonggwan Foundation Scholarship | Sep 2023
- A one-semester merit-based full scholarship
7. Test Scores
- 94/120, TOEFL iBT | Aug 2023
- R 30 | L 26 | S 18 | W 20