Hang Wu is a machine learning specialist at Perplexity, focusing on LLM post-training and reward hacking. A Ph. D. graduate from Georgia Institute of Technology, his expertise is in reinforcement learning, which he previously applied at scale as a Staff Research Scientist at ByteDance to enhance user personalization systems.
He has a consistent track record of applying machine learning to solve complex problems, from improving video compression speed at Google to enhancing medical image segmentation at Intuitive Surgical.
Unique fact: He describes his career focus on optimizing complex systems with the phrase, "different rewards, same hacking. "
Read the full overview →Behavioral traits and communication patterns that shape how this person evaluates opportunities, builds trust, and makes decisions in professional settings.
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