Daniel Kaiser is a Principal Data Scientist at Johnson & Johnson, specializing in safety data science. They previously held prominent data science positions at Booz Allen Hamilton, RS Energy Group, Meta, and Bristol Myers Squibb, where they developed advanced machine learning models and analytical frameworks. Daniel earned both a Master of Science and a Doctor of Philosophy in Chemical and Biomolecular Engineering from the University of Pennsylvania, along with a Bachelor of Science in Chemical Engineering from Columbia University. Their expertise spans various industries, where they have contributed to innovative data strategies and mentored emerging data scientists.
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