This week we welcome Tyler Reddy (@Tyler_Reddy) as our PyDev of the Week! Tyler is a core developer of Scipy and Numpy. He has also worked on the MDAnalysis library, which is for particle physics simulation analysis. If you’re interested in seeing some of his contributions, you can check out his Github profile. Let’s spend some time getting to know Tyler better!
Can you tell us a little about yourself (hobbies, education, etc):
I grew up in Dartmouth, Nova Scotia, Canada and stayed there until my late twenties. My Bachelor and PhD degrees were both in biochemistry, focused on structural biology. I did travel a lot for chess, winning a few notable tournaments in my early teen years and achieving a master rating in Canada by my late teens. Dartmouth is also known as the â€œCity of Lakes,â€ and I grew up paddling on the nearby Lake Banook. In the cold Canadian Winter the lake would freeze over and training would switch to a routine including distance runningâ€”this is where my biggest â€œhobbyâ€ really took off. I still run about 11 miles daily in the early morning.
I did an almost six year post-doc in Oxford, United Kingdom. I had started to realize during my PhD that my skill set was better suited to computational work than work on the lab bench. Formally, I was still a biol- ogist while at Oxford, but it was becoming clear that my contributions were starting to look a lot more like applied computer science and computational geometry in particular. I was recruited to Los Alamos National Labora- tory to work on viruses (the kind that make a person, not computer, sick), but ultimately my job has evolved into applied computer scientist here, and nothing beats distance running in beautiful Santa Fe, NM. Continue reading PyDev of the Week: Tyler Reddy