Recent work by BIMAG members on the efficient and precise estimation of inhibition constants has been featured in various Korean media outlets. BIMAG 연구진의 효율적이고 정밀한 저해 상수 추정에 대한 최근 연구가 다양한 한국 언론에 보도되었습니다.

A recent study by BIMAG researchers has been featured in various Korean media outlets. This study proposes a novel method for efficiently and precisely estimating enzyme inhibition constants using only a single inhibitor concentration. The work was co-authored by undergraduate intern Hyeongjun Jang, Dr. Yunmin Song, and corresponding author Prof. Jae Kyoung Kim. The paper, titled “Optimizing enzyme inhibition analysis: precise estimation with a single inhibitor concentration,” was published in Nature Communications in June 2025. [Link to paper]

BIMAG 연구진의 최근 연구가 다양한 한국 언론에 보도되었습니다. 이 연구에서는 효소 저해 상수를 효율적이고 정밀하게 추정할 수 있는 새로운 방법론을 개발했으며, 장형준 학부생 인턴, 송윤민 박사, 책임저자인 김재경 교수가 공동 저자로 참여했습니다. 해당 논문은 2025년 6월 Nature Communications에 “Optimizing enzyme inhibition analysis: precise estimation with a single inhibitor concentration” 라는 제목으로 게재되었습니다. (논문링크)

Welcome to the 2025 BIMAG Summer Interns. BIMAG 2025 여름 인턴십 선정 대상을 공개합니다.

We are pleased to announce the selected participants for the BIMAG 2025 Summer Internship. Congratulations to all those who have been selected!

선정된 BIMAG 2025 여름 인턴십 참가자를 발표합니다. 선정되신 모든 분들께 진심으로 축하의 말씀을 전합니다.

InternAffiliationMentorProject
Ji Woo ChaeBachelor of Arts and Sciences, Dartmouth CollegeDongju LimQuantifying the uncertainty of predicting human circadian phase by using a mathematical model
Heejune SoDept. of Medicine, University of GalwayEui Min JeongA Machine Learning-Based Development of a Shortened Version of the Pre-Sleep Arousal Scale (PSAS)
Seunghyun SeoDept of Computer Science, Johns HopkinsDongju LimEstimating circadian period from wearable data using a machine learning algorithm.
Dongyeon YangSchool of Transdisciplinary Studies, KAISTDongju LimEstimating circadian period from wearable data using a machine learning algorithm.
Taiyoon YeuChemical and Biomolecular Engineering, UCLAHyeong Jun JangOptimizing experimental design for time-dependent inhibition without prior parameter knowledge
Hongji KimBiology and HOD, VanderbiltHyeong Jun JangDevelop standardized range of drug for AUC-based drug screening
Minah LeeMath, Chungbuk National UniversityMyna LimA Data-Driven Development of a Shortened Version of the Counterfactual Thinking
for Negative Events Scale (CTNES)
Dongwoo WonDept of Mathematicsl Sciences, KAISTKangmin Lee, Gyuyoung HwangDeveloping Transfer Entropy estimation method with Hidden Markov Model, Data-driven inference of phase response curves in oscillator system using physics-informed neural network
Hein Lin ThantDept of Bio & Brain engineering, KAISTDongju LimAddressing bias in mathematical model-based DLMO prediction
Sangho KilDept of Life Science, Seoul National UniversityDongju LimRevealing the molecular-level mechanism of mood change from circadian phase resetting
Daewon JeongApplied mathematics, Pukyong National UniversityYun Min SongInvestigating the Impact of Excessive Sleep on Insomnia
Jaehee SeoBiochemistry, Yonsei UniversityKévin SPINICCIAssessing similarity cell to detect cell-type population in scRNA-seq data
Thuy Trang NguyenSchool of Computing and School of Business and Technology Management, KAISTOlive CawidingReducing False Positives in Causal Detection via Temporally-Constrained Surrogate Testing
Hyunkyeong ParkComputer Convergence Software, Korea University(Sejong)Yun Min SongOptimization of Mathematical Models for Predicting Alertness
Yoon KimPure and Applied Mathematics, Tsinghua UniversityYun Min SongSleep-Wake Prediction Using Activity Count
Jinyoung KimDept. of Mathematics, POSTECHEui Min JeongOscillatory Transcriptional Factor Dynamics Delay Gene Expression Decoding Compared to Sustained Dynamcis and Modulate Cell Fate
Jaehun JeongDept. of Chemistry, Seoul National UniversityGyuyoung HwangSymmetry in oscillations and its influence on the frequency gap in coupled oscillator systems.
Dasom LeeDepartment of Big Data Science, Korea University Sejong CampusDongju LimDeveloping the early warning signal detection method based on predictability

BIMAG members participated in the 2025 KSIAM Spring Conference. BIMAG 멤버들이 2025 KSIAM 봄 학술대회에 참여했습니다.

BIMAG members participated in the 2025 KSIAM Spring Conference, held at Konkuk University from May 16 to 17, 2025.

BIMAG 멤버들이 2025년 5월 16일부터 17일까지 건국대학교에서 개최된 2025 KSIAM 봄 학술대회에 참여했습니다.

CI Prof. Jae Kyoung Kim, along with Dr. Yun Min Song, PhD student Dongju Lim, master’s student Kangmin Lee, Mina Lim, and Aqsa, and undergraduate researcher Hyeong Jun Jang, presented posters at the conference.

CI 김재경 교수를 비롯해 송윤민 박사, 임동주 박사과정생, 이강민, 임민아, Aqsa 석사과정생, 장형준 학부생 연구원이 포스터 발표를 진행했습니다.

Dr. Hyukpyo Hong, a former member of BIMAG, gave a presentation as a recipient of the Next-Generation Researcher Award.

전 BIMAG 멤버인 홍혁표 박사가 차세대 연구자상 수상강연을 진행했습니다.

Dongju Lim, a PhD student, received the Best Poster Presentation Award. Congratulations!

임동주 박사과정생이 우수 포스터 발표상을 수상했습니다. 축하합니다!

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