I help life-science and Research and Development teams turn complex experimental and instrument-generated data into reliable, reproducible technical workflows. I am a Ph.D. candidate in Electrical Engineering with a B.Sc. in Biology and a B.Eng. in Electrical Engineering, combining scientific software development with hands-on experience in biosensing, imaging, instrumentation, and experimental validation.

My work includes building reusable Python workflows for large imaging datasets, quantitative analysis, visualization, data validation, and technical troubleshooting across software, acquisition systems, optics, instrumentation, and experimental workflows. I am particularly effective at translating scientific requirements into practical technical solutions and supporting researchers through documentation, training, and problem solving.