This honestly does not sound boring in the least. Statistical design of experiments is super interesting. You can tune your experiments to get the most useful information within your experimental budget. If you’ve ever run a physical real world experiment, you’ll understand how much time and expense is involved in doing it at a plant level. The ability to be economical here is so important!

Totally agree! DOE is way underrated. Once you’ve had to run real experiments (especially at scale), you really appreciate how much time and money a good experimental design can save. It’s one of those areas where a bit of math makes a huge practical difference.