Fall student membership for the Harvard Innovation Labs is now open! Whether you’re exploring innovation, testing an idea, or advancing a venture, becoming an i-lab member helps you go further,...
Fall student membership for the Harvard Innovation Labs is now open! Whether you’re exploring innovation, testing an idea, or advancing a venture, becoming an i-lab member helps you go further,...
Fall student membership for the Harvard Innovation Labs is now open! Whether you’re exploring innovation, testing an idea, or advancing a venture, becoming an i-lab member helps you go further,...
Fall student membership for the Harvard Innovation Labs is now open! Whether you’re exploring innovation, testing an idea, or advancing a venture, becoming an i-lab member helps you go further,...
Fall student membership for the Harvard Innovation Labs is now open! Whether you’re exploring innovation, testing an idea, or advancing a venture, becoming an i-lab member helps you go further,...
Fall student membership for the Harvard Innovation Labs is now open! Whether you’re exploring innovation, testing an idea, or advancing a venture, becoming an i-lab member helps you go further,...
This session is your chance to put theory into practice! Building on our previous session, we'll guide you through applying the prompt engineering principles to real-world research tasks using a...
Check out the HSPH Reuse Room in its new space! On Wednesday, August 28 from 1:30-2:15 pm, drop by B-5 in the basement of Building 1 to pick up something...
Yujie will present the dissertation entitled “Statistical methods for outcome measurement error correction, and multi-study prediction and causal inference under study heterogeneity". The dissertation committee is chaired by Drs. Molin Wang and Giovanni Parmigiani, and includes Dr. Boyu Ren and Dr. Bernard Rosner.
Fall student membership for the Harvard Innovation Labs is now open! Whether you’re exploring innovation, testing an idea, or advancing a venture, becoming an i-lab member helps you go further,...
Jonathan will present the dissertation entitled “Statistical methods for complex dependent data". The dissertation committee is chaired by Dr. Sebastien Haneuse, and includes Dr. Sharon-Lise Normand, Dr. Issa Dahabreh, and Dr. Nina Joyce.
