
Gunj Joshi
Gunj Joshi is a core contributor to stdlib, the JavaScript standard library for numerical and scientific computing. His work spans special mathematical functions, FFT implementations, and automated generation of high-performance packages at scale. A Google Summer of Code contributor and mentor, he has spoken at JSNation (US & EU) and FOSSASIA. Previously, he worked as a Quantum Research Intern at IBM and an open-source intern at Quansight, and currently works at a high-frequency trading firm.
Interests:
javascriptnext.jsnode.jsreactweb developmenttypescriptbest practicescode qualityfullstackperformancescalabilityadvanceddevtoolsdevopsteam productivityweb appsbackendproductivityapi developmentnpmframeworksopen-sourceprogramming conceptshtmldeveloper experiencedeveloper challengesmongodbtypescript librariesartificial intelligencewebassemblybrowser apicross-platformoptimizationcode generation
The Future of Numerical Computing in JavaScript
JSNation 2025
21 min
The Future of Numerical Computing in JavaScript

JavaScript is evolving beyond web development and into the realm of high-performance numerical computing. In this talk, we’ll explore the current landscape of scientific computing in JavaScript, compare its performance with Python and C, and discuss what’s missing. Through live demos – including AI, real-time data processing, and mathematical computing – we’ll see how libraries like stdlib and a few others are shaping the future.
Advanced Mathematics and Data Analysis With JavaScript
JSNation US 2024Watch video: Advanced Mathematics and Data Analysis With JavaScript
11 min
Advanced Mathematics and Data Analysis With JavaScript

What if we could use all the advanced mathematical functions, data analysis and visualization tools, etc., inside our browser, with JavaScript, instead of relying on python libraries such as numpy and scipy, without much degradation of performance? Yes, that is possible - with stdlib, which is a standard library for javascript and node.js.