Tu (Alina) Trinh

Tu (Alina) Trinh is a master’s student advised by Stuart Russell. She is interested in human-AI collaboration, AI robustness and capability, and applications of (inverse) reinforcement learning to real-world scenarios. Previously, she has also conducted research related to topic modeling and autonomous vehicle path-planning. Tu completed her undergraduate studies at UC Berkeley, where she received degrees in computer science and business administration with a minor in data science. During her summers, she interned at Salesforce, Amazon, and PEAK6, building large-scale software services and systems.