Today we’re joined by Gerald Quon, assistant professor in the Molecular and Cellular Biology department at UC Davis.
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Gerald presented his work on Deep Domain Adaptation and Generative Models for Single Cell Genomics at GTC this year, which explores single cell genomics as a means of disease identification for treatment. In our conversation, we discuss how Gerald and his team use deep learning to generate novel insights across diseases, the different types of data that was used, and the development of ‘nested’ Generative Models for single cell measurement.
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Mentioned in the Interview
- QUON-titative computational biology lab
- QLab Research
- Check out the rest of our GTC 2019 Series!
- Check out all of our great series from 2018 at the TWIML Presents: Series page!
- TWIML Online Meetup
- Register for the TWIML Newsletter
“More On That Later” by Lee Rosevere licensed under CC By 4.0