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After a couple of years working at the University of Michigan as a postdoctoral fellow, I am getting ready for new challenges. I started to code in grad school and have done multiple online courses. Sometimes I do the entire course, some I do only the chapters/classes that are of my interest at the moment. Over the years I started to teach and mentor undergraduate and graduate students. Despite finding my GitHub useful and using some of my repositories to guide their analyses of genomic datasets, I feel like some students are intimidated by the field and not sure about where to start or what to do next. I figured that I adding my experiences and thoughts about learning how to code, including ways to troubleshot could be helpful when I am not around. I took far too many courses but I will add to the chorus: practice is definitely better. For now, I will just say that the best of both words is to study with a focus. Have a problem to solve? A dataset to explore? Find out what you have to learn to accomplish that and keep coding!  Attending the Workshop on Molecular Evolution in 2017. As a surprise to nobody: teaching is also a great way to reinforce learning.  In 2018 being a Teaching Assistant of the Workshop for the first time. I have been invited to go back every year ever since to be a TA and teach students how to go through Bioinformatics tutorials.
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