This summer, a total of 24 summer interns have joined IBS BIMAG.
They come from a wide range of universities in Korea and abroad, including KAIST, Korea University, Yonsei University, Seoul National University, Chung-Ang University, Ajou University, Pukyong National University, Kyonggi University, Chungnam National University, Inha University, Seoul Women’s University, Carnegie Mellon University, Rice University, Brown University, UCLA, the University of Wisconsin–Madison, and the University of Malawi.
Their academic backgrounds are equally diverse, spanning mathematics, statistics, computer science, data science, life sciences, mechanical engineering, chemical and biomolecular engineering, and more.
This year’s internship projects are just as exciting. A major research theme focuses on sleep, circadian rhythms, and wearable data, including topics such as sleep disorder classification using wearable data, analysis of sleepiness and circadian rhythms in shift workers, early detection of mood disorders from sleep patterns, and alertness prediction.
Another major area of research centers on data-driven dynamical systems and mathematical modeling. Projects include inferring dynamics from snapshot data, data-driven discovery of dynamical equations, physics-informed neural networks, weak-form sensitivity analysis, and discovering differential equations using causal relationships.
In addition, the interns will explore a variety of biomedical mathematics topics, including enzyme kinetic models, experimental design for time-dependent inhibition, bursty gene expression models, dengue transmission, mortality prediction, and foundation models for biosignal reconstruction—bringing together mathematics and AI to better understand complex biological phenomena.
Although the summer is short, we hope it will be a rewarding time for everyone to explore a wide range of problems in biomedical mathematics, drawing on their diverse backgrounds and curiosity.
It looks like another inspiring summer awaits us at IBS BIMAG.
올해 여름 IBS BIMAG에 총 24명의 Summer Intern이 함께하게 되었습니다.
KAIST, 고려대, 연세대, 서울대, 중앙대, 아주대, 부경대, 경기대, 충남대, 인하대, 서울여대를 비롯해, Carnegie Mellon University, Rice University, Brown University, UCLA, University of Wisconsin–Madison, University of Malawi 등 국내외 여러 대학에서 온 학생들입니다. 전공도 수학, 통계학, 컴퓨터과학, 데이터사이언스, 생명과학, 기계공학, 화학생명공학 등 매우 다양합니다.
올해 인턴들의 연구 주제도 무척 흥미롭습니다.
웨어러블 데이터를 이용한 수면장애 분류, 교대근무자의 졸림과 생체리듬 분석, 수면 패턴과 기분장애 조기 탐지, alertness 예측 등 수면·생체리듬·웨어러블 데이터 연구가 한 축을 이루고 있습니다.
또한 snapshot data로부터 dynamics를 추론하거나, data-driven discovery of dynamical equations, physics-informed neural network, weak-form sensitivity analysis, causal relationship을 활용한 미분방정식 발견 등 데이터 기반 동역학계와 수리모델링 연구도 활발히 진행됩니다.
그 밖에도 효소 반응 kinetic model, time-dependent inhibition 실험 설계, bursty gene expression model, dengue transmission, mortality prediction, biosignal reconstruction foundation model 등 의생명 현상을 수학과 AI로 이해하려는 다양한 주제들이 포함되어 있습니다.
짧은 여름이지만, 각자의 배경과 호기심을 바탕으로 의생명수학의 여러 문제를 함께 탐구하는 시간이 되기를 기대합니다.
올해도 멋진 여름이 될 것 같습니다.
