Summary
Qianqian Wang is a research scientist based in the San Francisco Bay Area with seven years of experience bridging academic rigor and industry R&D. She holds a PhD in Computer Science from Cornell and has transitioned from postdoctoral research at UC Berkeley to applied research roles, including internships at Google and her current position at Rhoda AI. Her work focuses on cutting-edge machine learning research applied to real-world products, with a track record of moving ideas from lab prototypes to production-facing projects. Colleagues describe her as someone who blends deep theoretical understanding with practical engineering, often spotting overlooked assumptions in model deployment. Comfortable in both collaborative academic settings and fast-paced startups, she brings a disciplined research mindset to product-driven teams. Based in the Bay Area, she pairs global technical training with hands-on experience shipping research-informed features.
7 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Cornell University
Bachelor's degree, Information Technology, Bachelor's degree, Information Technology at Zhejiang University