Clarence Chen is the Head of AI at Corbu, specializing in generative AI to accelerate design workflows in architecture. His expertise is built on roles as a Machine Learning Engineer, where he developed custom LLM chat agents for sales calls and engineered full-stack ML features. He is a graduate of the University of California, Berkeley.
Clarence demonstrates a deep interest in the application of AI to new fields, evidenced by his academic research into using Natural Language Processing to model student learning trajectories in online courses. His coursework in advanced topics like Abstract Algebra and Complex Analysis highlights a strong theoretical and mathematical foundation.
He co-authored a research paper investigating the use of LSTM networks and Transformer architecture to improve predictive models for student paths in Massive Open Online Courses (MOOCs).
Read the full overview →They are more likely than others to negotiate on pricing and terms. They generally do not appreciate an overfriendly approach and prefer to stay to-the-point. While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters.
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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