About Figure One Lab
 Computational biology upskilling is hard. Figure One Lab makes it easier.
Biology has been transformed by large-scale data. And biologists are increasingly expected to have the computational skills to handle this data.
Biologists often ask me how they can upskill in computational biology. While the abundance of interest is encouraging, several obstacles prevent these eager learners from making progress:
- Overreliance on theory instead of projects
- Doing sufficiently complex projects
- Decision paralysis for starting projects
Figure One Lab courses overcome these obstacles by helping biologists complete challenging computational projects without getting stuck in theory. The learning philosophy in these courses is very much one of "learn as you go", emulating what professional computational biologists do on the job.
Why is it called Figure One Lab?
Replicating figures from modern biology papers is a powerful and satisfying way to learn. It forces you to use your newly acquired data skills to derive a published result with real scientific significance.
We can think of Figure 1 of these papers as our "lab" for deep exploration and experimentation with data. This is why I am calling my entire effort to help biologists pick up computational tools "Figure One Lab". It's an invitation to come experiment with me.
