Events
- No events scheduled for April 14, 2024.
IM-Tech Seminar: Dr. Ariel Stern on Digital Transformation of Healthcare + Global Applications for AR in the OR
Armenise Building, Modell Center 100a 210 Longwood Ave, Boston- No events scheduled for April 19, 2024.
- No events scheduled for April 20, 2024.
Week of Events
From Harvard Lab to Global Enterprises: The Journey of Stochastic’s Personalized AI
From Harvard Lab to Global Enterprises: The Journey of Stochastic’s Personalized AI
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 enterprise-ready AI system, Stochastic AI. Talk Title: From Harvard Lab to Global Enterprises: The Journey of Stochastic's Personalized AI Speaker: Glenn Ko, PhD […]
IM-Tech Seminar: Dr. Ariel Stern on Digital Transformation of Healthcare + Global Applications for AR in the OR
IM-Tech Seminar: Dr. Ariel Stern on Digital Transformation of Healthcare + Global Applications for AR in the OR
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 […]
R/Stats Office Hours
R/Stats Office Hours
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 […]
Interactive Lecture + Workshop: Mixed Effects Models in Practice
Interactive Lecture + Workshop: Mixed Effects Models in Practice
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 evaluate these models in R with lme4 and brms