Category: news

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

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.’

On 21 April 2022, our group moved from the third floor to the second floor the Theory Building. After moving, we took group photos.

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

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.

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

Dr. Hyeontae Jo (Senior Researchers) have joined our group on February 16, 2021.

Dr. Hyeontae Jo received his math Ph.D. from POSTECH and has been a postdoctoral researcher at Basic Science Research Institute, POSTECH. He has researched differential equations and Machine learning.

KAIST, IBS, 고려대구로병원 등 공동연구팀이 코로나19 바이러스의 전파율이 높으면 중증화율이 낮아져 토착화를 앞당긴다는 연구결과를 발표했다. KAIST 수리과학과의 김재경 교수(IBS 의생명수학그룹 연구책임자)와 홍혁표 석박사통합과정 연구원, 노지윤 고려대구로병원 감염내과 교수, 신의철 KAIST 의과학대학원 교수 (IBS 한국바이러스기초연구소 바이러스면역연구센터장) 연구팀은 수리 모델을 통해 바이러스 전파율이 올라가면 궁극적으로 코로나19 위중증화율이 떨어진다는 사실을 확인했다고 14일 밝혔다.

Researchers from KAIST, IBS, Korea University Guro Hospital, etc., revealed that high viral transmission unexpectedly accelerates the endemic transition of COVID-19 with reduced numbers of severe cases. On February 14th, a research team including Jae Kyoung Kim (principal investigator of the BIMAG, IBS), Hyukpyo Hong (Ph.D. student),  Ji Yun Noh (professor of Korea University Guro Hospital), and Eui-Cheol Shin (professor of KAIST Graduate School of Medical Science and Engineering), said that they demonstrated high viral transmission of COVID-19 paradoxically reduces the rates of progression to severe COVID-19 and accelerates the endemic transition, based on mathematical modeling.

[동아사이언스 뉴스 전문 (클릭)] – News
[논문 링크 (클릭)] – Paper

On 4 February 2022, Minhye Kim, a graduate student studying under the supervision of Prof. Yongkuk Kim, from Kyungpook national university joined our group as a visiting student. She will stay until 28 February 2022.

There will be nine fascinating online colloquium talks presented by pioneering researchers. Welcome to join via Zoom ID: 997 8258 4700 (PW: 1234). Please check the detailed schedule below. We will update our BIMAG website if there is any change in the schedule.