Skip to content

Search for:
Home
Publications
- Process Innovation Imperative
- Built to Thrive
Resources
Advisory
Projects
About

Jay van Zyl @ ecosystem.Ai

Predictive technology: computational social science

Home
Advisory
Projects
- ecosystem.Ai Pre-pivot Platform
- i4j Project
Publications
- Built to Thrive
- Process Innovation Imperative
Resources
Video Gallery
About

machine learning machine learning deployment

USC at ICRA 2025 – USC Viterbi School of Engineering

May 23, 2025 May 23, 2025

USC at ICRA 2025 USC Viterbi School of Engineering

machine learning machine learning deployment

USC at ICRA 2025 – USC Viterbi School of Engineering

May 23, 2025 May 23, 2025

USC at ICRA 2025 USC Viterbi School of Engineering

Technologist & Computational Social Scientist

Working daily on solving social science prediction challenges using predictive technologies.

PreviousMachine learning analysis of factors contributing to hypotension after lumbosacral epidural anaesthesia in dogs undergoing abdominal surgery – Nature

NextAdvancing molecular machine learning representations with stereoelectronics-infused molecular graphs – Nature

©2023 Jay van Zyl @ ecosystem.Ai

Powered by Bravada & WordPress.