The personal website and blog of Ryan Marcus, a graduate student at Brandeis University. Previously worked at Google, Microsoft, HPE Vertica, and Los Alamos National Laboratory.
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About Me
I'm currently a CS Ph.D. student at Brandeis University (advisor: Olga Papaemmanouil). I research applications of machine learning to cloud databases.
Google
Ph.D. intern
Summer 2018
Microsoft Research
Ph.D. intern
Summer 2017
HPE Vertica
Software engineer
2016 - 2017
Los Alamos National Lab
HPC software engineer
2007 - 2015
Brandeis University
CS Ph.D. student
2014 - present
University of Arizona
Undergraduate
2010 - 2014
Blog Posts
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Good comment, bad comment 05 Nov 2018
A few collected tips on writing readable code
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Overflow in consistent hashing 14 Sep 2018
Exploring the implications of fixed-capacity machines in consistent hashing schemes
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Pretty pictures with perlin noise fields 04 Mar 2018
Procedurally generated flurry-like graphics and videos with particle tracing in a Perlin noise field
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Computer-generated lines with a human feel 23 Oct 2017
A demo of an algorithm to create lines that look hand drawn
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The often-overlooked random forest kernel 04 Oct 2017
Random forest models can be used to measure the similarity between datapoints. This allows random forests to be used as very effective kernel functions
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No, really, what's a monad? 14 Dec 2016
My attempt at the infamous monad tutorial. Explains the concepts of monads using concrete examples in C++, Python, Java, and JavaScript
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The Weierstrass Transform 09 Sep 2016
An interactive demo of the Weierstrass transform, a data smoothing technique found in image processing, signal processing, physics, and statistics
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