

AI Tools for Life Sciences Researchers: Free Workshop @ Harvard
This one-day workshop, led by AI researchers at Harvard Medical School, and supported by a Schmidt Sciences grant (from Eric Schmidt), will teach you how to use cutting-edge AI tools to improve the quality of your papers by focussing on advanced data analysis — no prior coding experience required.
Who Should Attend
Graduate students, postdocs, and faculty across the sciences at Boston / Cambridge universities
Researchers with minimal or no coding experience who work with data
Scientists curious about integrating advanced AI into their research daily process
What You'll Learn
How to set up tools such as Claude Code for scientific data analysis (zero coding experience required)
Prompt engineering strategies for complex analytical tasks
How to leverage planning modes, agents, and AI tool integrations
How to go from raw data to a polished report in hours, not weeks, without a data scientist
About the Study
This workshop is part of a Schmidt Sciences-funded pilot study investigating how AI tools reshape the scientific discovery process. The research team includes faculty from Harvard Business School, Harvard Medical School, and UC Merced.
Space is limited to 40 participants. Priority given to researchers who are actively working on a publication and have their own unique data that they would like to analyze with AI tools after the workshop.