Summary
Tiantian Feng is a postdoctoral researcher and PhD in Computer Science from USC with nine years of experience at the intersection of multimodal sensing, speech, and human-centered AI. Her research builds trustworthy systems that leverage speech, video, wearable, and textual data to understand behavior while prioritizing privacy, fairness, and federated learning. She has industry research experience from Meta and Amazon and a track record of translating sensor and firmware work into ML-driven solutions from earlier electrical engineering roles. Based in Los Angeles and advised by Prof. Shrikanth Narayanan, she is actively pursuing tenure-track assistant professor positions worldwide. A less obvious strength is her hands-on background in tactile sensor design and wearable data collection, which gives her experimental work a strong systems-to-algorithms perspective.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Southern California
Bachelor's degree Instrument Technology, Bachelor's degree Instrument Technology at Nanjing University of Posts and Telecommunications