Martin T. Wells, Ph.D., joined the Cornell faculty in 1987 and is the Charles A. Alexander Professor of Statistical Sciences. He is also a Professor of Social Statistics, Professor of Clinical Epidemiology and Health Services Research at Weill Medical School, an Elected Member of the Cornell Law School Faculty, as well as the Director of Research in the School of Industrial and Labor Relations. He teaches statistical methodology to undergraduate and graduate students in fields such as agriculture, biology, epidemiology, finance, law, medicine, nutrition, social science, and veterinary medicine as well as graduate courses in statistics.
Precision Nutrition and AICornell Certificate Program
Precision Nutrition and AI (CHEC04)
Tell me more!ONLINE
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Overview
How It Works
Format
All Online
Time Commitment
2.5 months with 6 to 8 hours of study per week
Cost
$0
Learn From Top Minds
Courses are developed by Cornell faculty.
Power Your Career
Gain today’s most in-demand skills to stand apart.
Flexibility Fits Your Life
Learn on your schedule without stepping out of your job.
Small-class Experience
Participate in facilitated discussions and live sessions with industry peers.
Real-world Projects
Apply learnings and insights to your work to make an impact right away.
Personalized Feedback
Enjoy meaningful feedback on assignments from expert facilitators.
Format
All Online
Time Commitment
2.5 months with 6 to 8 hours of study per week
Cost
$0
Learn From Top Minds
Courses are developed by Cornell faculty.
Power Your Career
Gain today’s most in-demand skills to stand apart.
Flexibility Fits Your Life
Learn on your schedule without stepping out of your job.
Small-class Experience
Participate in facilitated discussions and live sessions with industry peers.
Real-world Projects
Apply learnings and insights to your work to make an impact right away.
Personalized Feedback
Enjoy meaningful feedback on assignments from expert facilitators.
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Faculty Author
Martin Wells
Professor of Statistical Sciences
Cornell Bowers Computing and Information Science
Charles A. Alexander Professor of Statistical Sciences, Cornell Bowers Computing and Information Science
Key Course Takeaways
- Analyze how individual biology and environmental factors influence dietary responses
- Critically assess key precision nutrition studies, evaluate research methodologies, and develop a PICO-based research question
- Evaluate precision nutrition’s impact on health outcomes, critically analyze consumer applications, and examine ethical implications of personal data management
- Analyze scientific data using R by performing data manipulation, creating visualizations with ggplot, and conducting basic regression analyses
- Navigate the “All of Us” Researcher Workbench user interface to create cohorts, concept sets, and datasets


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