Joanna Hong
Research Scientist at Google DeepMind
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJoanna Hong is a Research Scientist on the Speech Team at Google DeepMind with eight years of experience advancing speech and multimodal AI. She specializes in audio-visual speech modeling and human-centric interactions, applying large language model techniques to make speech-based AI more natural and robust. Her Ph.D. work at KAIST produced contributions in audiovisual speech recognition, lip-to-speech generation, and multimodal representation learning, and she has continued this trajectory through internships and research roles at Meta and Trillion Labs. Joanna was a founding technical team member at Trillion Labs contributing to a multilingual 7B LLM optimized for deployment, reflecting her blend of foundational research and production-aware model engineering. Based in New York, she combines deep academic rigor with hands-on system and training infrastructure experience, uniquely focusing on recovering or inferring missing modalities in real-world multimodal inputs. Colleagues describe her work as bridging lab-grade innovations and deployable speech solutions that improve human–AI conversational fluency.
8 years of coding experience
6 years of employment as a software developer
Ph.D. Candidate, Electrical Engineering, Ph.D. Candidate, Electrical Engineering at Korea Advanced Institute of Science and Technology
English, Korean
Github Skills (14)
styles7
attention-mechanism6
speech5
synthesis5
pytorch4
speech-synthesis3
deep-learning3
transformer3
face3
text-to-speech3
audio1
consistency1
speech-enhancement1
speech-recognition1
Programming languages (1)
Github contributions (5)
joannahong/Face-Tells-Detailed-Expression-Dataset
Oct 2019 - Jan 2022
Contributions:17 commits, 16 pushes, 1 branch in 2 years 3 months
Contributions:28 commits, 13 pushes in 3 months
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