Welcome a new visiting research fellow, Won Chang!

Dr. Won Chang has joined our group as a visiting research fellow.

Dr. Won Chang is an assistant professor in Statistics, A&S Mathematical Sciences, the University of Cincinnati. His research interests are High-dimensional spatial data analysis, Non-Gaussian spatial data analysis, Data-driven simulation of climate processes, Computer model emulation and calibration, Composite likelihood, Statistical methods in environmental science, Bayesian inference, and Time series.

Dr. Jeungeun Park has visited our group.

Dr. Jeungeun Park has visited our group.

Dr. Jeungeun Park is an assistant professor at the State University of New York at New Paltz. Her research topics are traveling waves, nonlinear conservation laws, chemotaxis, and flagellated bacteria. She will stay for three weeks. Welcome!

Welcome our new member, Minki Lee

Minki Lee (Undergraduate researcher) has joined our group.

Minki is an undergraduate student at the department of mathematics, University of Michigan. His research project is ”Phase estimation of nonlinear state space model of the circadian pacemaker using the level set kalman filter.”

Awards

  • Department of Mathematics Merit Scholarship, 2020-2024
  • Andrew J. Lum & David R. Juillet Scholarship, May 2020
  • James B. Angell Scholar, May 2022
  • University Honors, Dec 2020, 2021
  • National AP Scholar, July 2019

Welcome our new member, Reinatt Hansel Wijaya.

Reinatt Hansel Wijaya (Undergraduate researcher) has joined our group.

Reinatt Hansel Wijaya is an undergraduate student at the departments of computer science and business & technology management, KAIST. His research project is ‘Development of Apps for diagnosis and treatment of sleep disorders.’

His awards record and previous projects:

Awards:

-Silver medal from National Olympiads Informatics

-Bronze medal from International Informatics Olympiads of Metropolises

Projects:

-Townhope (React.js & Go) – a website to connect NGO and volunteer

-Iswara (Flutter) – Mobile application to connect people and consult

-Aeer (Flutter) – Machine learning + Mobile application to predict water usage

-Banjeer (React.js+Django) – Web + Machine learning to predict a river’s condition

Welcome our new member, Kien Hoang.

Kien Hoang (Undergraduate researcher) has joined our group.

Kien Hoang is an undergraduate student at the department of mathematical sciences, KAIST. His research project is ‘Development of AI-algorithm for the Imputation of missing data.’

Scientists discover a key source of cell-to-cell heterogeneity in cell signaling pathways/ 수학 모델로 개별 세포간 이질성을 원인 밝혀

Led by Prof. KIM Jae Kyoung, researchers at the Institute for Basic Science (IBS) and KAIST revealed that the number of slowest steps in cell signaling pathways is a key source of cell-to-cell heterogeneity. master clock and the slave clock operate via different molecular mechanisms. This work has been published in Science Advances.

기초과학연구원(IBS) 수리 및 계산과학 연구단 의생명수학그룹(김재경 CI) / KAIST 수리과학과 연구팀은 큐잉이론과 베이지안 추정 방법론을 결합하여 항생제에 반응하는 세포간 이질성의 주 원인이 세포 내 신호 전달 체계를 이루는 속도 결정 단계의 숫자라는 것을 밝혔다. 세포간 이질성은 항암 치료의 효율을 낮추는 불완전 사멸과 큰 관련이 있기 때문에 항암 치료의 효율을 높이는 가능성을 제시할 수 있을 것으로 기대된다. 이 연구는 국제학술지 Science Advances에 게재됐다.

[헤럴드경제] – News
[논문 링크 (클릭)] – Paper

CI Jae Kyoung Kim presented a talk titled ‘Mathematical modeling for the endemic transition of COVID-19’ at the 196th KAST Round Table Discussion.

Our group CI, Professor Jae Kyoung Kim, presented a talk titled ‘Mathematical modeling for the endemic transition of COVID-19’ at the 196th KAST Round Table Discussion – ‘Omicron, which is different from the previous variants and how do we deal with it?’. The recorded video can be found at 28:36 ~ 48:05 of the below Youtube link.

그룹 CI 김재경 교수가 한국과학기술한림원 주관 제196회 한림원탁토론회 – ‘오미크론, 기존 바이러스와 무엇이 다르고 어떻게 대응할 것인가?’에서 ‘코로나바이러스의 토착화 과정에 대한 수리모델’이라는 제목으로 주제 발표를 진행하였습니다. 아래 유튜브 영상 28:36 ~ 48:05 에서 확인할 수 있습니다.

YouTube player

SBS 8시 뉴스 2022년 3월 11일자

Scientists discover how our circadian rhythm can be both strong and flexible / 생체시계가 시차에 빠르게 적응하는 원리 알아냈다

Led by Prof. KIM Jae Kyoung and KIM Eun Young, researchers at the Institute for Basic Science (IBS) and Ajou University found that the master clock and the slave clock operate via different molecular mechanisms. Thanks to the distinct property of the master clock neurons, it is able to easily adapt to the new diurnal cycle.

기초과학연구원(IBS) 수리 및 계산과학 연구단 의생명수학그룹(김재경 CI)과 KAIST 수리과학과, 아주대 의과대학 뇌과학과(김은영 교수) 공동연구팀은 수리모델 예측과 초파리 실험을 결합한 융합연구를 통해 생체시계가 안정적 리듬을 유지하면서도 환경변화에 쉽게 적응할 수 있는 원리를 규명했다고 밝혔다. 연구팀은 이번 연구에서 초파리의 마스터 뉴런이 슬레이브 뉴런에 비해 PER 단백질의 합성과 분해 속도가 훨씬 빠르다는 것을 알아냈다. 또한 마스터 뉴런이 평소에는 동기화된 강한 리듬을 유지하다가 외부 환경 변화(시차)가 일어났을 때, 비동기화 되면서 리듬을 약하게 만들어 유연하게 환경 변화에 적응할 수 있음을 밝혔다.

[SCIENMAG] [아이뉴스24] – News
[논문 링크 (클릭)] – Paper

IBS 의생명수학그룹 Biomedical Mathematics Group
기초과학연구원 수리및계산과학연구단 의생명수학그룹
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IBS Biomedical Mathematics Group (BIMAG)
Institute for Basic Science (IBS)
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