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.
Office hours CANCELLED for Wednesday, April 3. CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS […]
CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS students, postdocs, research staff, and faculty can book a specific time slot by emailing Andrew Ghazi or are welcome to drop-in throughout the 2 hour session to ask for help using R or […]
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 Healthcare in the Moses and Wang Lab. Abstract: In the rapidly evolving landscape of genomics, deep learning has emerged as a useful tool for tackling […]
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 […]
Register to Attend: http://bit.ly/4ap8g4Q Excited to share the second seminar in the IM-Tech series, Innovation in Medical Technology and Entrepreneurship Cross Harvard. This series is co-sponsored by the Tananbaum Healthcare Transformation Initiative, the HealthTech Programs at the Center for Primary Care, and Harvard's Office of Technology and Development. We strongly encourage in-person attendance […]
CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS students, postdocs, research staff, and faculty can book a specific time slot by emailing Andrew Ghazi or are welcome to drop-in throughout the 2 hour session to ask for help using R or […]
Aimed to motivate, explain, and demonstrate mixed effects models in biomedical research Learn how mixed effects models connect experimental design to statistical model structure Learn how to construct, run, and […]
CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS students, postdocs, research staff, and faculty can book a specific time slot by emailing Andrew Ghazi or are welcome to drop-in throughout the 2 hour session to ask for help using R or […]
CCB hosts weekly help sessions for analyzing and visualizing data in R, as well as providing statistical advice on research questions. HMS students, postdocs, research staff, and faculty can book […]