AI Engineer

Hi, my name is Joshua Owoyemi. I'm the founder of ModAstera, where we're on a mission to make AI in healthcare feel less like rocket science and more like a smart, everyday tool. I'm passionate about building things that solve real problems—especially in the messy, high-stakes world of medical technology. When I'm not deep in platform development or chatting with collaborators across time zones, you'll find me geeking out over breakthrough ideas, exploring the future of diagnostics, or just enjoying a good espresso-fueled brainstorm.

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Past Experience

Research Engineer at Elix Inc

Tokyo, Japan • June 2020 - March 2025

Researching and developing new models for solutions in computer vision and drug discovery.
Developing machine learning applications for specific client's needs in areas such as object recognition, anomaly detection, disease diagnosis, de novo molecular generation and properties prediction.

Software and AI Engineer at ZMP Inc

Tokyo, Japan • Apr 2019 - May 2020

Implemented deep learning models for Autonomous vehicles' perception, scene understanding, and behaviour control from 2D and 3D image data.
The implemented software was deployed in the company and clients' projects such as Robot taxis, trains, forklifts, and logistics solutions.

Deep Learning Consultant at MicroVision Inc

Sendai (Remote), Miyagi, Japan • May 2018 - Apr 2019

Engineered deep learning algorithms for mid-air hand gesture recognition for a consumer tabletop LIDAR sensor using point cloud data.
Prototyped and implemented deep learning algorithms for vision-based interactive touch feedback for a consumer tabletop LIDAR sensor.

Publications

Ayomide Owoyemi, Joshua Owoyemi, Adenekan Osiyemi, Andrew Dallas Boyd (2020). Artificial Intelligence for Healthcare in Africa. Frontiers in Digital Health, 2, 6 (DOI)

Joshua Owoyemi, Naoya Chiba, Koichi Hashimoto (2019). Discriminative Recognition of Point Cloud Gesture Classes Through One-Shot Learning. IEEE International Conference on Robotics and Biomimetics (ROBIO) 2019, Dali, China, pp. 2304-2309 (IEEE Xplore)

Joshua Owoyemi, Koichi Hashimoto (2018). Spatiotemporal Learning of Dynamic Gestures from 3D Point Cloud Data. IEEE International Conference on Robotics and Automation (ICRA) May 21-25, 2018, Brisbane, Australia, pp. 5929-5934 (arXiv)

Cherdsak Kingkan, Joshua Owoyemi, Koichi Hashimoto (2018). Point Attention Network for Gesture Recognition Using Point Cloud Data. British Machine Vision Conference September 3-6, Newcastle, England, pp. 118.1-118.13. 1st and 2nd Author have equal contribution (pdf)

Joshua Owoyemi, Koichi Hashimoto (2017). Learning Human Motion Intention with 3D Convolutional Neural Network. IEEE International Conference on Mechatronics and Automation August 6-9, Takamatsu, Japan, pp. 1810-1815 (IEEE Xplore)