Ryan Ly

Ryan Ly is a Research Software Engineer at Berkeley Lab, where since April 2019, significant contributions include leading the development of community-driven neuroscience data standards and software utilized by over 150 laboratories globally. Notable achievements involve creating a user-friendly, no-code app for neuroscience data standardization, architecting sustainable data infrastructure, and co-developing an AI framework for interactive data exploration. Ryan previously served as a Graduate Research Assistant at Princeton University, earning recognition as a National Science Foundation Graduate Research Fellow while conducting neurophysiological research and developing advanced analysis methods. Earlier experience includes coordinating research at Johns Hopkins University, where leadership facilitated the creation of a widely-used app for measuring numerical acuity, and interning at Electronic Arts in full stack development for a browser-based game. Ryan holds a Ph.D. in Neuroscience from Princeton University and two degrees from Johns Hopkins University in Computer Science and Neuroscience.