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: 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: […]
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 […]
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
Speaker:Jeremy Muhlich Topic: Image processing, visual analytics, and data sharing for whole-slide imaging and spatial profiling of tissues and tumors When: Monday, March 11, 2024, 10 AM - 11 AM ET Where: Gordon Hall, 106 Waterhouse Conference RoomTime (Harvard ID required) Abstract: Spatial 'omics has emerged as a breakthrough technology for understanding the types and […]
Location: In-Person at Countway L1-032 (Please note, New Location for this week and the New Zoom Link) Zoom, https://harvard.zoom.us/j/92093238424?pwd=eEdJSjA2WEczL1NvdnN0MysyM1JoQT09 Add to Calendar: https://drive.google.com/file/d/1E2iIsla_TzdTzS_3YLcj6gr-DHO-KP7v/view?usp=sharing Speaker: Mariana Gabitto, PhD Abstract: […]
Title: To Transformers and Beyond: Large Language Models for the Genome Speaker: Micaela Consens, Computer Science Ph.D. candidate at University of Toronto with a Focus in Machine Learning Applications for […]
Join us in-person on Monday, April 15th at 3 PM as Dr. Glenn Ko shares his experience founding a company as a Harvard academic and the technical details behind his […]