Summary
Joseph Messou is a PhD candidate and experienced research engineer with nine years of hands-on work in biomedical imaging, computer vision, and embedded systems. He combines academic rigor—teaching digital systems, FPGA design with Verilog/SystemVerilog, and mathematical foundations—with applied research translating multiplex immunofluorescence data into spatial and machine learning insights at Frederick National Laboratory. His projects span Vision Transformers for mIF feature extraction, spatial statistics using Squidpy, and building deep learning testbeds and pipelines, demonstrating fluency from low-level hardware to modern ML. Based in College Park, MD, he brings interdisciplinary communication skills evidenced by seminars and presentations to clinicians and researchers. Notably, he pairs digital logic expertise with cutting-edge biomedical ML, enabling efficient end-to-end solutions across hardware, software, and data analysis.
9 years of coding experience
2 years of employment as a software developer
Baccalauréat S, Baccalauréat S at Lycée Pierre Mendès France Tunis
Master of Science - MS Computer Engineering with a focus in Computer Vision and Machine Learning, Master of Science - MS Computer Engineering with a focus in Computer Vision and Machine Learning at Virginia Tech
Doctor of Philosophy - PhD Electrical and Computer Engineering with a focus in Biomedical Imaging and Machine Learning, Doctor of Philosophy - PhD Electrical and Computer Engineering with a focus in Biomedical Imaging and Machine Learning at University of Maryland
English, French, Spanish