Christopher is a Senior Data Scientist at Khan Academy specializing in analytics, experimentation, and causal inference for consumer web products. A UCLA Environmental Science graduate and Department Valedictorian, he previously led product experimentation at wikiHow. Colleagues describe him as exceptionally analytical, diligent, and thoughtful.
With a background in Environmental Science, Christopher has a keen interest in sustainability, having previously applied machine learning to agriculture and corporate sustainability initiatives. His personal interests include his alma mater, UCLA, and the work of NASA.
He was inducted into the Phi Beta Kappa Honor Society, a distinction awarded to fewer than five percent of his graduating class.
Read the full overview →They prefer to do logical analysis and value evidence over emotions. They enjoy working alone and do not rely on others very often. Unless the value is proven by data, they are unlikely to value fancy features.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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