Athan Reines
Athan Reines is a full-stack engineer and data scientist. He has a PhD in Physics, where he used machine learning and time series analytics to probe biological systems at the nanoscale. He currently works full-time on open source projects to facilitate numerical computing in Node.js and JavaScript.
For his latest open source project, see stdlib, a standard library for Node.js and Javascript: https://github.com/stdlib-js/stdlibric computing in Node.js and JavaScript.
Talks I've Given
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A Better Node.js REPL
Featuring Athan Reines
The Node.js read-eval-print-loop (REPL) is one of the most powerful and yet underutilized Node.js features. In Athan's talk, he will dive deep into the Node.js REPL, how it works, and what it can do. He'll discuss how you can customize and extend the REPL environment, giving it advanced...
web repl nodejs -
Workshop: Machine Learning For Hackers
Featuring Athan Reines
In this workshop, Athan is going to deliberately avoid dry, formal math-heavy presentation and get your hands dirty implementing and using machine learning algorithms, all in JavaScript. You will first learn why JavaScript and the web platform are important new frontiers in the future of machine...
statistics data-analysis data-science scientific-computing nodejs javascript machine-learning -
Math, Machine Learning, and JavaScript - Intermediate
Featuring Athan Reines
JavaScript and number crunching may seem an odd pair, but this is rapidly changing. In this talk, Athan will discuss the current state-of-the-art for numeric computation and machine learning in JavaScript. He will introduce libraries for statistical computing, neural networks, and...
math machine-learning javascript fullstack fullstackcon data-science -
WebAssembly and the Future of the Web - Advanced
Featuring Athan Reines
WebAssembly, a new portable compilation target for the web, promises to radically change how we build web applications. In this talk, Athan will discuss how to leverage WebAssembly for high performance numeric computing in web browsers. He will first provide an overview of WebAssembly, current...
webassembly machine-learning science numeric-computing fullstack javascript fullstackcon -
Node.js Add-ons for High Performance Numeric Computing - Intermediate
Featuring Athan Reines
Node.js add-ons allow native code written in C and C++ to be run from the Node.js JavaScript runtime. In this talk, Athan will discuss how to utilize native add-ons for high performance numeric computing and machine learning in server-side applications. He will first provide an overview of...
nodejs computing javascript machine-learning data-science -
Workshop: Interactive numeric computing with Node.js and JavaScript
Featuring Athan Reines
Traditionally, if you wanted to write fast code for numeric computation, you used Fortran or C. Within the past two decades, you have seen an enormous shift toward languages which favor expressiveness over absolute speed. Much of scientific computing is now performed using dynamic, loosely typed...
fullstack fullstackcon fortran c r python javascript node bigdata science numeric-computing scientific-computing data-science machine-learning statistics analysis analytics visualisation nodejs streams