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Distinguished Scientist, Machine Learning Research at Apple
In graduate school I worked under the guidance of two exceptional scientists in the fields of machine learning (Prof. Geoffrey Hinton) and behavioral science (Prof. Adam Anderson). I developed the first deep neural networks that could recognize and generate facial expressions, and showed how statistical regularities learned by these computational models predict elements of human perception. My work was featured in high impact journals including Nature Neuroscience and Science and in top computer vision conferences. I co-founded Emotient in 2012, a startup focused on realtime perception of human behavior, which was acquired by Apple in 2016.
University of Toronto
PhD, Psychology, Computer Science
January 1, 2005 – January 1, 2009
University of Toronto
M.A., Psychology
January 1, 2004 – January 1, 2005
UC San Diego
B.S., Cognitive Science
January 1, 1995 – January 1, 2003
Apple
Distinguished Engineer
January 1, 2025 – Present
Apple
Research Manager, Deep Learning Scientist
January 1, 2016 – Present
Emotient
Co-founder, Lead Deep Learning Scientist
January 1, 2012 – January 1, 2016
San Diego County, California, United States
UC San Diego Machine Perception Laboratory
Postdoctoral Scholar
January 1, 2011 – March 1, 2012
Flux Inc
Predictive analytics consultant
December 1, 2008 – December 1, 2009
University of Toronto
PhD in Psychology / Machine Learning
September 1, 2004 – January 1, 2011
UCSD Institute for Neural Computation/Machine perception lab
Researcher
September 1, 2001 – September 1, 2004
University of California at San Diego
Research Assistant
January 1, 2001 – January 1, 2003
UCSD DCOG and HCI
Undergraduate student researcher
January 1, 2001 – January 1, 2002
Luth Research
Internet software developer
January 1, 1999 – January 1, 2001
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on deep learning, machine learning, and research, primarily in academic and R&D settings (Apple, Emotient, UCSD). While they have experience with data analytics and predictive modeling, their primary expertise appears to be in advanced ML/AI research rather than core data analysis. The target role of 'Data Analyst' might be a mismatch for their senior-level research and engineering background, potentially leading to underutilization of their advanced skills or a desire for more complex, research-oriented tasks. Their diverse background in psychology and computer science, however, suggests adaptability and a broad intellectual curiosity.
Soft Skills & Operational Fit
The candidate's extensive experience in leading research teams and co-founding a company suggests strong leadership, problem-solving, and innovation skills. Their academic background in psychology and cognitive science, combined with machine learning, indicates an analytical mindset and ability to understand complex human behavior, which is valuable for interpreting data. The descriptions imply a capacity for independent research and development, as well as collaboration within a team.