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[IBS BIMAG Colloquium] COVID-19 and Challenges to the Classical Theory of Epidemics – Simon Levin (KST March 15, 11am). Anyone can join via zoom! Please share it. ibs.re.kr/bimag/event/co…

[Colloquium video] Simon Levin (Princeton) gave a great talk about COVID-19 and Challenges to the Classical Theory of Epidemics. youtube.com/watch?v=bld9KZ…

Join us for an exciting talk by Michael Snyder (Stanford) on Disrupting Healthcare Using Deep Data and Remote Monitoring! March 21 | 11 AM - 12 PM KST Zoom: 997 8258 4700 | PW: 1234 Learn how big data, multiomics, and wearables are transforming healthcare! #DigitalHealth

New study reveals #HairTime, a simple test that predicts your chronotype from a single hair sample! Turns out, your biological clock is flexible—work schedules & lifestyle can shift it! Could this be the future of personalized sleep & health? #Circadian biorxiv.org/content/10.110…

Michael Snyder (Standford) gave an inspiring talk "Disrupting Heathcare Using Deep Data and Remote Monitoring " #PersonalizedMedicine #DigitalMedicine youtube.com/watch?v=DbKeQ5…

SymScore: Machine learning accuracy meets transparency in a symbolic regression-based clinical score generator sciencedirect.com/science/articl…

Join us for an exciting talk by Galit Lahav (Havard) on Dynamics and Decision Making in Single Cells! March 28 | 11 AM - 12 PM KST Zoom: 997 8258 4700 | PW: 1234 ibs.re.kr/bimag/event/dy…

Join us for an exciting talk by Fred Wright on a lognormal Poisson model for single cell transcriptomic normalization ! April 4th | 11 AM - 12 PM KST Zoom: 997 8258 4700 | PW: 1234 ibs.re.kr/bimag/event/a-…

IBS 의생명수학그룹에서 여름 인턴쉽을 모집합니다 (Due: 5월 1일). 자세한 사항은 아래 링크에 있습니다. ibs.re.kr/bimag/job-appl…

Our work identifying the error in the FDA guidance equation has been selected as Top Viewed Article of #CPT ascpt.onlinelibrary.wiley.com/doi/10.1002/cp…

Great news! Our work is most-read paper of CPT!

Can we tell time from a single cell’s RNA? While transcriptional noise limits phase prediction at the single-cell level, averaging gene expression from ~50 cells allows #circadian phase estimation. Blurred rhythms become clear in numbers. shorturl.at/gCM9u

Welcom Dr. Hyun! AI-expert joins IBS BIMAG! ibs.re.kr/bimag/2025/05/…

Methods to predict mood episodes often require both sleep patterns and additional #data, inhibiting practical use. On the SIAM News blog, Dongju Lim and Jae Kyoung Kim present a framework to predict mood episodes with only sleep-wake pattern information: siam.org/publications/s…

Prof Yang has extended Takens’ famous embedding theorem—originally proven only for deterministic systems—into probabilistic spaces. This means the theorem now applies to a broader class of real world systems, where randomness and uncertainty are inevitable. Amazing! #SIAMDS25

Great Talk by Nethan Kutz. Here is my rough thought about his lecture. "In the end, for machine learning to become a true scientific tool, the key question is not just what to predict, but with what variables." #SIAMDS25

The new journal SIAM Life Sciences has just launched! Professor Jonathan Rubin is serving as the Chief Editor, and I’m honored to join the editorial board as an Associate Editor. Please consider submitting your excellent research in the interface of mathematics and life sciences

#SIAMDS25 Day-2 Today's most striking talks were all about Topological Data Analysis (TDA). Among them, the most impressive was “Topological Feature Selection for Time Series Data” by Johnathan Bush (James Madison University) and Peter Bubenik (University of Florida).