Florent Poux - Profile and Journalist Details

Find journalists that align with your industry, location and vision. Unlock Florent Poux's full journalist profile, including location, coverage topics, current employer, biography and preferences. Sign up today and start building journalist relationships that fuel your startup's growth.

Get connected with journalists today
Florent Poux

Florent Poux

Verified

Contributor, Towards Data Science

France

Biography

I am a founder and entrepreneur focused on coding and educating engineers on leveraging AI and 3D Data Science. Also Professor, I still lead research teams and teach computer vision tracks at various universities, But my current aim is to ensure we, as humans, are rightly equipped with the knowledge and skills to tackle 3D Data Processing.

Final Covers

Entrepreneurship , Machine Learning, Academia, AI, Python , Research, Deep Learning , 3D Data, Data Science , Coding

Doesn’t Cover

General news or politics.

Journalist Type

Seniority Positions

Industries

Medium Formats

Content

Total articles 39

  • How to Generate Synthetic 3D Point Cloud Rooms with Python

    By Florent Poux

    Apr. 12, 2025

  • Master the 3D Reconstruction Process: A Step-by-Step Guide

    By Florent Poux

    Mar. 28, 2025

  • 3D Scanning: Your Complete Sensor Guide

    By Florent Poux

    Mar. 08, 2025

As seen in

Company Info

Towards Data Science

Towards Data Science is an online publication and platform dedicated to sharing knowledge about data science. Founded in 2016 and based in Toronto, Canada, it operates on Medium, allowing experts to publish articles on various topics, including machine learning, programming, and data visualization. The platform serves as a community-driven space where professionals and enthusiasts can contribute articles, tutorials, and insights. It also features a podcast that includes interviews with STEM professionals, discussing technical topics and ethical considerations in the field. Towards Data Science fosters collaboration and learning among its community members, promoting a deeper understanding of data science and its implications.

, ,

Founded: 2016