V. (Vinicius) Munaldi Lube

Hugo R. Kruytgebouw
Padualaan 8
Kamer N.201
3584 CH Utrecht

V. (Vinicius) Munaldi Lube

Researcher
Plant-Microbe Interactions

I’m a Phenomics Engineer and Innovation Lead at the Netherlands Plant Eco-phenotyping Centre (NPEC) at Utrecht University, working at the intersection of robotics, imaging, controlled environments, and AI to turn plant responses into reliable, high-throughput data. With an MSc and PhD focused on imaging science, I’ve developed methods and systems across scales - from microscopy to whole-organism imaging, applied in both materials science and biological systems.

My focus is end-to-end phenotyping innovation: designing and integrating mechatronic systems, sensors and imaging workflows, and deploying data/ML pipelines that make experiments more reproducible, scalable, and actionable. Lately, I’ve been pushing real-time monitoring in controlled environments, bringing deep-learning inference closer to the experiment (inside growth chambers) so we can track growth dynamics, stress responses, and recovery continuously, not only at endpoints. 

I also developed MultipleXLab, a portable high-throughput live-imaging platform for seed and root phenotyping that combines an affordable CNC-based imaging approach with deep-learning segmentation and computer vision. I’m driven by one principle: lowering the barrier to high-quality phenotyping while raising the bar for rigor and reproducibility. I’m also developing iPhonotype, a smartphone-to-desktop phenotyping platform that turns iPhone RGB/LiDAR capture into structured plant trait workflows. It combines mobile scanning, 3D reconstruction, 3D gaussian splatting, root analysis, rosette phenotyping, and many other features. The app is available at the App Store.

What I enjoy most:
• Building phenotyping tools from concept → prototype → validated instrument → deployed facility
• Controlled-environment and stress phenotyping (light × temperature × CO₂ × humidity)
• Computer vision / ML for biological time-series data
• Affordable, accessible phenotyping that can scale across labs and industries

If you’re working on phenotyping infrastructure, automated imaging, or AI-enabled measurement workflows, I’m always happy to connect and collaborate.