Daniel Stephens

Daniel Stephens is an accomplished software engineer with a robust background in data science and research. Daniel began a data science internship at Quantum-Si, where projects focused on handling large datasets using Python packages like Numpy and Pandas. As an undergraduate researcher at UC Irvine, Daniel collaborated with a PhD candidate on protein folding prediction, utilizing neural networks and reinforcement learning. Daniel has progressed in expertise as a software engineer, taking on roles at Sumo Logic and currently at Google in the Cloud Networking team. Daniel holds dual Bachelor's degrees in Statistics and Computer Science from the University of California, Berkeley, and has a foundational background as an ocean lifeguard with emergency response responsibilities.