CCB is happy to provide computational and data science resources for HMS graduate students, postdoctoral fellows, research staff, and faculty across all departments of the HMS quadrangle.
Please email us for additional information on project collaboration, tool/technology development, educational resources, or any general inquiries.
Speakers: Hector Corrada Bravo, PhD; Jayaram Kancherla Topic: The SingleCellHub at Genentech: how to manage and query data from 130M cells Date: Monday, May 15, 2023 Time: 3:00 – 4:00 PM EDT […]
Speaker: Graham Heimberg, PhD, Principal Scientist, Genentech Topic: Scalable cell search of human cell atlases via deep learning reveals commonalities across disease associated macrophages Date: Monday, June 5, 2023 Time: 3:00 – 4:00 PM Eastern Time (United States and Canada) Location: Countway Library, Lahey Room 518 (Harvard ID required) Virtual: Zoom link Abstract: Single-cell RNA-seq (scRNA-seq) studies have profiled over 100 […]
SPECIAL: The Center for Computational Biomedicine (CCB) is hosting a joint seminar series with the Image Analysis Collaboratory (IAC) at Harvard Medical School with a focus on best practices and leading […]
Speaker: Anthony-Alexander Christidis Topic: A New Ensemble Learning Framework for Modeling High-Dimensional Data Date: Monday, September 11, 2023 Time: 3:00 – 4:00 PM Eastern Time (United States and Canada) Virtual: Zoom link […]
Title: CCB Seminar Series Speaker: Dr. Gabriel Brat Topic: Collaborative Informatics in Surgery: Infusing Algorithms with Surgeon Knowledge Location: Harvard Medical School’s Countway Library, Lahey Room Join Zoom meeting https://harvard.zoom.us/j/97173440183?pwd=eHI1ODRub0p5NGNEZncwU0lURlJjdz09 Password: 421790 […]
Speaker: Charles Reilly, Ph.D. Topic: Broad-spectrum Antiviral and Biostasis Therapeutics Enabled by Computational Design and Discovery When: Monday, October 16, 2023, 10 AM- 11 AM ET Where: Harvard Medical School's […]
Title: CCB Seminar Series Speaker: Luca Marconato Topic: SpatialData, an open and universal framework for processing spatial omics data When: Monday, October 23, 2023, 10 AM- 11 AM ET Abstract: The […]
Speaker: Ayush Noori Topic: Contextual deep learning on knowledge graphs for drug repurposing and precision medicine in neurological disorders When: Monday, October 30, 2023, 3 PM- 4 PM ET Where: […]
Speaker: Ricard Argelaguet, Ph.D. Topic: Principles and challenges in single-cell data integration When: Monday, November 6, 2023, 3 PM- 4 PM ET Abstract:The development of single-cell multimodal assays provides a […]
Speaker: Ismael Rodriguez Rodriguez and Piotr Suwara Topic: A novel approach for identifying protein crystals using machine learning: a leap in precision and efficiency When: Monday, November 13, 2023, 10 […]
Speaker: Dr. Martin Hemberg Topic: Therapy-associated remodeling of pancreatic cancer revealed by single-cell spatial transcriptomics and optimal transport analysis When: Monday, December 4, 2023, 10 AM- 11 AM ET Abstract: In combination with cell intrinsic properties, interactions in the tumor microenvironment modulate therapeutic response. We leveraged high-plex single-cell spatial transcriptomics to dissect the remodeling of […]
Speaker: Dr. Beth Cimini Topic: Using high content analysis and deep learning to make the most of your microscopy When: Monday, December 11, 2023, 10 AM - 11 AM ET Where: Gordon Hall, 106 Waterhouse Conference RoomTime (Harvard ID required) Abstract: In the age of the digital camera, microscopy images constitute a fantastically rich source […]