Summary
Paul Lafosse is a Neuroscience PhD candidate with nine years of multidisciplinary research experience applying physics, computer science, and biology to probe cortical processing and neural computation. He designs and implements in vivo two-photon holographic optogenetics experiments, builds Python image and signal analysis pipelines, and trains teams to adopt cell-specific stimulation methods. His work spans microscopy, behavioral assays, and neural network models that decode and reconstruct natural visual stimuli from calcium responses, bridging experimental and computational approaches. Comfortable moving between hands-on lab engineering and large-scale data analysis, he has a track record of turning complex imaging and electrophysiology datasets into reproducible tools and presentations for diverse audiences. Notably, he optimized legacy scientific codebases and developed shareable Jupyter workflows to accelerate lab-wide adoption of advanced analysis methods.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience and Cognitive Science, Doctor of Philosophy - PhD, Neuroscience and Cognitive Science at University of Maryland
Master of Science - MS, Biology - Neuroscience Concentration, Master of Science - MS, Biology - Neuroscience Concentration at George Mason University
Bachelor of Arts in Physics - Biological Physics Option; Minor in Computer Science, Bachelor of Arts in Physics - Biological Physics Option; Minor in Computer Science at University of North Carolina at Chapel Hill