Summary
Thamidul Tonmoy is a Research Fellow with 8 years of experience at the intersection of optical imaging, machine learning, and biomedical engineering, holding a PhD from UC Riverside and a BS from BUET. He has hands-on expertise maintaining and programming custom PS-OCT and OCE systems, interfacing MEMS devices, and building multi-threaded image pipelines and ML models to quantify tissue biomarkers such as birefringence and DOPU. His work spans animal models and engineered tissues, including quantitative studies of peripheral nerve regeneration and fascicular segmentation algorithms. A skilled educator, he has supported numerous bioengineering courses and senior design projects, mentoring students on hardware and software integration. Notably, he solved hardware-software integration challenges such as rerouting a system clock from a faulty camera and implementing ML to recover true birefringence from angle-dependent measurements, demonstrating a knack for translating lab-scale innovation into robust experimental platforms.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering at University of California, Riverside
Bachelor of Science - BS, Electrical and Electronics Engineering, Bachelor of Science - BS, Electrical and Electronics Engineering at Bangladesh University of Engineering and Technology
English, Bengali