Hi everyone! I’m John, and I am an astronomer working at the intersection of galaxy evolution and computer vision 
I started with the Fastai 2018 course, which got me very excited to embark on the deep learning journey. Within months, I was using the fastai v0.7 code to achieve spectacular results on modelling the products of chemical enrichment in galaxies (if you’d like, feel free to check out the paper). Some of this work ended up becoming part of my PhD thesis, and it also helped me find an amazing postdoctoral research position! Recently I used the fastai v1 code to investigate some of the ingredients for star formation and galaxy growth (see paper here). It’s been such a fun journey, and the two most recent versions of this course have been wonderful.
I’m hoping to get that kind of familiarity with the newest codebase: fastai v2. In particular, I want to be able to work flexibly with the pipeline so that I can directly use astronomical data products without loads of pre-processing steps. Based on the awesome work that the team has been doing, and the early study group by @muellerzr, it looks like the updated code will be better than ever. Thank you Fastai!