Figure One Lab
Computational Biology Upskilling
Courses Start January 10
Bare Mininum R
Self-Paced Course
I created this course specifically to help biologists who have never or barely coded before gain the bare-minimum skills with R to jump-start their first attempts at computational data analysis.
Fill out the interest form to get Bare Minimum R for free.
RNA-Seq On-Ramp
6-Week Cohort-Based Course
Next Cohort: 1/10 - 2/21, 2026
RNA-seq data is everywhere. This course is a guided experience that gives you all the tools you need to make sense of any RNA-seq dataset. It is designed by a biologist, for biologists.
ScRNA-Seq Primer
6-Week Cohort-Based Course
Next Cohort: 1/10 - 2/21, 2026
Single-cell RNA-seq has transformed the life sciences, but most biologists still feel intimidated by the data. In this guided, hands-on experience, you’ll learn how to analyze scRNA-seq data with confidence, using the same strategies I’ve developed over 7 years.
When Are Future Cohorts?
RNA-Seq On-Ramp
- March 21 - May 2
- July 11 - August 22
scRNA-Seq Primer
- March 21 - May 2
- July 11 - August 22
Meet the instructor
Dean started his graduate training at Harvard and is currently a principal scientist in computational biology at Novartis. He has 8 years of experience as a computational biologist, spanning both academia and industry. Dean made the transition from 100% wet-lab to 100% dry-lab work, so he knows firsthand the many obstacles that prevent biologists from quickly learning computational skills.
Dean has 47,000+ followers on LinkedIn, 27,000+ subscribers to his LinkedIn newsletter, and 3,000+ downloads of his free course, Bare Minimum R. A primary focus of his LinkedIn content is how biologists can accelerate their learning of computational skills to adapt to a data-dominant future.
Dean has served on industry panels for Harvard, MIT, Carnegie Mellon, Columbia, UNC Chapel Hill, and CSU Long Beach career events. Dean was also an invited speaker, for both professional development and scientific talks, to the Festival of Genomics & Biodata.
