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.
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 […]
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 Applications of AI and algorithms generally focus on replacing or facilitating human effort. For complex decision-making tasks, like surgical judgment and performance, there is an […]
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 growing abundance of spatial profiling methods comes with a heterogeneity of file formats which creates barriers in spatial omics data analysis. Tasks such as data […]
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: Countway Library 5th floor, Lahey Room 518/ Zoom Anstract :Neurological disorders are the leading global cause of disability, yet new drugs are often developed by […]
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 powerful tool for investigating multiple dimensions of cellular heterogeneity. A key challenge in the analysis of single-cell multimodal data is to devise appropriate strategies for […]
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 AM- 11 AM ET Abstract: Protein crystallization is still crucial in understanding the 3D structure of macromolecules such as proteins or antibodies. This step is […]
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: […]
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 […]
Speaker: Shawn Murphy, MD, PhD Topic: Instrumenting the Healthcare Enterprise for Discovery Research. When: Monday, January 22, 2024, 10 AM- 11 AM ET Zoom: Click Here