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Joshua Susskind

Machine Learning Scientist at Apple - Deep Learning Research, intersection of hardware and software

Joshua Susskind is a renowned figure in the field of machine learning and behavioral science, having worked with distinguished scientists like Prof. Geoffrey Hinton and Prof. Adam Anderson during his graduate studies.

He is credited with developing the pioneering deep neural networks capable of recognizing and generating facial expressions, with his research published in prestigious journals like Nature Neuroscience and Science, as well as being presented at leading computer vision conferences.

In 2012, Joshua co-founded Emotient, a startup focused on real-time perception of human behavior, which caught the attention of tech giant Apple and was acquired by them in 2016.

Joshua Susskind's educational background includes a Ph.D. in Psychology and Computer Science from the University of Toronto, a Master's degree in Psychology from the same institution, and a Bachelor of Science in Cognitive Science from UC San Diego.

Professionally, Joshua has held positions such as Research Manager and Deep Learning Scientist at Apple, Co-founder and Lead Deep Learning Scientist at Emotient, Postdoctoral Scholar at UC San Diego Machine Perception Laboratory, Predictive Analytics Consultant at Flux Inc, and various research and assistant roles at prestigious institutions like University of Toronto and UC San Diego.

With a rich blend of academic knowledge and hands-on experience, Joshua Susskind continues to make significant contributions to the fields of machine learning, behavioral science, and computer vision.

Joshua Susskind
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Location

Cupertino, California, United States