Athan Reines
Quansight
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 for Quansight where his work focuses on JupyterLab initiatives, and he actively contributes to open source projects which extend scientific computing capabilities to Node.js and JavaScript.
This Speaker belongs to the Dieser Speaker gehört zum Programm vom New YorkNew York program. Take me to the program of . Hier geht es zum Programm von London London .
All talks by Athan Reines
No current talks available.
All talks by Athan Reines from other editions
New York 2021 New York 2021 -Faster than NumPy: High-performance numerical computation in JavaScript
London 2018 London 2018 -
The JavaScript & Node.js Data Science Survival Kit
London 2018 London 2018 -
Node.js Add-ons for High Performance Numeric Computing
All talks by Athan Reines
New York 2021 New York 2021 -Faster than NumPy: High-performance numerical computation in JavaScript
All talks by Athan Reines from other editions
London 2018 London 2018 -The JavaScript & Node.js Data Science Survival Kit
London 2018 London 2018 -
Node.js Add-ons for High Performance Numeric Computing
All talks by Athan Reines
No current talks available.
All talks by Athan Reines from other editions
New York 2021 New York 2021 -Faster than NumPy: High-performance numerical computation in JavaScript
London 2018 London 2018 -
The JavaScript & Node.js Data Science Survival Kit
London 2018 London 2018 -
Node.js Add-ons for High Performance Numeric Computing
All talks by Athan Reines
New York 2021 New York 2021 -Faster than NumPy: High-performance numerical computation in JavaScript
All talks by Athan Reines from other editions
London 2018 London 2018 -The JavaScript & Node.js Data Science Survival Kit
London 2018 London 2018 -
Node.js Add-ons for High Performance Numeric Computing