My Career Path In Bioinformatics and Computational Biology

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# My Career Path In Bioinformatics and Computational Biology
### Matthew J. Oldach, M.Sc.
### 2019-09-27

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## Dalhousie University

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## Computer Vision
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<img src="figures/sponge.gif" width="100%" />

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## University of Calgary

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<img src="figures/spawn.jpg" width="100%" />
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<img src="figures/vize-pubs.png" width="85%" />
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<img src="figures/coral-pipeline.png" width="100%" />
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<img src="figures/coral-fig3.png" width="250%" />
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<img src="figures/coral-pipeline.png" width="100%" />
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![](figures/svm.PNG)

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## Ce-M-M Reserch Center for Molecular Medicine

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## Douglas Mental Health University Institute
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<img src="figures/geno.jpg" width="90%" />
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<img src="figures/prs.PNG" width="90%" />
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Optimising code to make it run faster is an iterative process:

+ Find the biggest bottleneck (the slowest part of your code)
+ Try to eliminate it (you may not succeeed but that's ok)
+ Repeat until your code is "fast enough"

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<img src="figures/benchmark_GNU-parallel_UKBiobank.png" width="75%" />
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### R for-loops are slow!

<img src="figures/forLoop.PNG" width="100%" />
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### Transpile to faster language, like C++ (Rcpp)
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## Side-projects
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## <code>vapoRwave</code> theme 📦
<img src="figures/vapoRwave.png"/ width=880 height=450>

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## Thanks!

Slides created via the R package <code>xaringan</code> which is powered by <code>reactjs</code>.

Twitter: <code>@MattOldach</code>[**@MattOldach**](https://twitter.com/MattOldach)

Website: <code>moldach.github.io</code>