Drs. Michael Blinov and Margaret Johnson (John Hopkins University) organized a subgroup on Biophysical Modeling of the Cell at the American Society of Cell Biology (ASCB) annual meeting CellBio2023. Among the speakers are Elizabeth Read (UCI), Jason Haugh (NCSU) and Graham Johnson (Allen Institute).

 

CCAM alumni continue to collaborate after graduation. Our recent graduate Ani Chattaraj (PostDoc at Harvard) teaches a Computational Modeling in Biology module for a Molecular Biology Techniques course offered at Saint Elizabeth University by our alumni Sofya Borinskaya (Assistant Professor at SEU).

Congratulations to Dr. Vera-Licona for the invited talk “Network-Based Cell Reprogramming: Tools and Applications” at the inaugural event for the Mexican Biology and Mathematics Network (RedMexBiomate), November 7-10 in Cuernavaca, Mexico.

CCAM has organized two scientific meetings this October: the The 22nd International Conference on Systems Biology (ICSB2023) October 8-12 co-chaired by Pedro Mendes and Ion Moraru, and the “Computational Modeling in Biology” Network (COMBINE) workshop 2023

October 5-8 organized by Michael Blinov and Ion Moraru. Both VCell and COPASI were highlighted at the meetings with tutorials, posters, and multiple models presented that were developed with these tools. CCAM students Milda, Siyu, Rudradeep, and Jinhong helped with organization, working at registration and presenting CCAM at a recruitment table.

09-07-2023. Congratulations to the Yu lab on a new publication, Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharing. The article describes a new deep learning algorithm for training convolutional neural nets (CNN) to perform the single-cell segmentation task using point-label or no human label. (Yu J. Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharing. IEEE Trans Med Imaging. 2023 Sep 7;PP. doi: 10.1109/TMI.2023.3312988. Epub ahead of print. PMID: 37676808.)