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Joshua Owoyemi

Joshua Owoyemi

AI Engineer and Co-founder, building medical AI solutions

tjosh
Tokyo, Japan
Joined December 2025

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Summary

Joshua Owoyemi is a dedicated AI and Machine Learning engineer with a strong academic background, evidenced by his PhD from Tohoku University and numerous publications in top-tier conferences like IEEE ICRA and BMVC. His research primarily focuses on computer vision, robotics, and deep learning, with practical applications in areas like gesture recognition and human motion inference from 3D point cloud data. github+3
He is an entrepreneurial leader, currently serving as the Co-founder and CEO of ModAstera, an Antler-backed startup aiming to automate medical AI engineering and build AI solutions for healthcare. His journey into entrepreneurship was supported by his participation in the Antler Japan residency program. tjosh+2
Joshua has a diverse professional background, combining academic lecturing at Federal University Oye-Ekiti with significant industry experience as a Research Engineer at Elix Inc., and prior roles at ZMP Inc. and as a Deep Learning Consultant for MicroVision Inc. He has also engaged in social impact through projects like equipAKschool, which promotes computer programming education in Nigeria. github+4

Work

Education

Projects

Writing

Artificial Intelligence for Healthcare in Africa

January 1, 2020

A publication discussing the application of Artificial Intelligence in healthcare contexts within Africa.

Favicon imagetoluwajosh.github.io

Discriminative Recognition of Point Cloud Gesture Classes Through One-Shot Learning

January 1, 2019

A research paper presented at the 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO), focusing on one-shot learning for gesture recognition.

Favicon imagetoluwajosh.github.io

Spatiotemporal Learning of Dynamic Gestures from 3D Point Cloud Data

January 1, 2018

A paper presented at the 2018 IEEE International Conference on Robotics and Automation (ICRA), exploring spatiotemporal learning for dynamic gestures.

Favicon imagetoluwajosh.github.io

Point Attention Network for Gesture Recognition Using Point Cloud Data

January 1, 2018

A publication at the 29th British Machine Vision Conference, co-authored, focusing on a point attention network for gesture recognition.

Favicon imagetoluwajosh.github.io

Open Source Licenses in Machine Learning and Self-driving Car Projects

November 1, 2017

A Medium article discussing open-source licenses relevant to machine learning and self-driving car development.

Favicon imagetjosh.medium.com

All About Kalman Filters

May 1, 2017

A Medium article discussing Kalman filters, likely in the context of self-driving cars and the Udacity Nanodegree.

Favicon imagetjosh.medium.com

Finding Lane Lines with Colour Thresholds

March 1, 2017

A Medium article detailing a project from the Udacity Self-Driving Car Nanodegree, focusing on lane line detection.

Favicon imagetjosh.medium.com

Learning Human Motion Intention with 3D Convolutional Neural Network

January 1, 2017

A research paper presented at the 2017 IEEE International Conference on Mechatronics and Automation (ICMA), detailing the use of 3D CNNs for human motion intention learning.

Favicon imagetoluwajosh.github.io