Expert Support in AI Basics and R/Stats
Eligibility
Consultations are offered to HMS Quad-based students, postdocs, research staff, and faculty.
Scheduling
Use the Microsoft Bookings links below to schedule a 30-minute consultation. To extend your session, send a follow-up email. Sessions are available in person Wednesdays or Zoom any day.
Generative AI
Have a project you need help with? Want to understand what an LLM is and how it works? Curious about all these new acronyms being thrown around? Schedule a consultation with Grey Kuling, Curriculum Fellow for AI/ML, to get answers to your questions, or be directed to the right expert. Send email to Grey_Kuling@hms.harvard.edu to extend your session to an hour. Topics include:
- Data preprocessing and feature engineering
- Model selection and hyperparameter tuning
- Deep learning architectures
- Evaluation metrics and model interpretation
- Generative AI and large language models
- AI ethics and bias mitigation
R/Stats
Get help analyzing and visualizing data in R and applying statistical approaches to research questions. Schedule a consultation with Senior Computational Biologist Andrew Ghazi. Send email to Andrew_Ghazi@hms.harvard.edu to extend your session to an hour. Topics include:
- Data cleaning and visualization
- Computational biology
- Bayesian inference
- Reproducible authoring
- R programming
- Statistical modeling