DNN 3: Data Science in the Browser | Matplotlib, Mozilla & Py-odide | Michael Droettboom

In the third episode of Deep Neural Notebooks, I talk with Michael Droettboom, from Mozilla.

Michael is a Staff Data Engineer at Mozilla, where he works on managing the telemetry from Mozilla products, that can be used for improving the user experience and the product itself, while respecting data privacy and making sure that instead of snarfing it all up, only the absolutely minimal data is gathered from the user. 

He specialises in imaging and data: sheet music, scientific visualization, astronomy, biomedical data and software telemetry.

He started his Open Source journey around 2007, contributing to Matplotlib, while he was a Senior Computer Scientist at the Space Telescope Science Institute. He later went on to become a lead developer of Matplotlib, carrying on the vision of Matplotlib’s original author, John Hunter.

In this episode, we talk about his beginnings - his education in Computers’ and Music, his experience in Astronomy, working at the Space Telescope Science Institute and how he got into contributing to Open Source for Matplotlib. We also talk about his role at Mozilla, the importance of data privacy and the amazing project that he is currently working on - Pyodide, a tool to empower Data Science in the Browser.

Michael also shares some advice for beginners trying to get into Data Science and communities just starting out with Open Source software.

Links:

Michael Droettboom: https://twitter.com/MDroettboom , http://droettboom.com/

GLEAN: https://github.com/mozilla/glean

Pyodide: https://github.com/iodide-project/pyodide

Deep Neural Notebooks:

Deep Neural Notebooks is a podcast where I like to discuss a multitude of topics, ranging from Deep Learning and Computer Vision to Neuroscience and Open Source Software, through conversations with experts about their thoughts on the state of their specialisations, how things fit into the bigger picture, their journey so far and the road ahead.

I believe that it is through conversations like these that we can boil down the essence of vast resources of knowledge and expertise into more consumable bits that can enrich our understanding of concepts and technologies that are shaping our world.

If you like the content, please subscribe to the channel and leave a thumbs up, or a 5-star rating, depending on the streaming platform.

Youtube: https://www.youtube.com/channel/UC66w1T4oMv66Jn1LR5CW2yg

Apple Podcasts: https://podcasts.apple.com/us/podcast/deep-neural-notebooks/id1488705711?uo=4

Spotify: https://open.spotify.com/show/2eq1jD7V5K19aZUUJnIz5z

Google Podcasts: https://www.google.com/podcasts?feed=aHR0cHM6Ly9hbmNob3IuZm0vcy8xMDZkYzIzOC9wb2RjYXN0L3Jzcw==

Anchor: https://anchor.fm/deep-neural-notebooks

Connect:

Website: https://mukulkhanna.github.io

LinkedIn: https://linkedin.com/in/mukulkhanna/

Twitter: https://twitter.com/mkulkhanna