Nicholas Hadler is a Ph.D. candidate in the Hartwig Group at UC Berkeley who blends transition-metal catalysis with machine learning, data science, and high-throughput experimentation to accelerate discovery in synthetic chemistry. With 11 years of research and teaching experience, he has developed new ligand systems in gold catalysis and taught organic and general chemistry labs to undergraduate cohorts. His work sits at the intersection of computational prediction and hands-on synthesis, enabling more efficient reaction development under Prof. John F. Hartwig. Based in Berkeley, he brings both deep experimental expertise and applied ML skills to chemical challenges, and he’s actively translating academic insights into scalable workflows for catalyst design.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Organic Chemistry, Doctor of Philosophy - PhD, Organic Chemistry at University of California, Berkeley
Bachelor of Science - BS, Chemistry, Bachelor of Science - BS, Chemistry at University of South Florida
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Nicholas Hadler - Graduate Student Researcher, Hartwig Group