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About

Kazuhiro Hotta is at the forefront of accelerating materials and chemical discovery through cloud-based, autonomous experimentation. His research centers on developing delocalized, asynchronous, and closed-loop workflows that integrate high-throughput experimentation with Bayesian optimization. Hotta’s major contribution is demonstrating that complex discovery pipelines—spanning synthesis, formulation, and characterization across multiple laboratories—can be orchestrated in real-time via the cloud, dramatically accelerating timelines. His landmark 2024 paper, "Delocalized, asynchronous, closed-loop discovery of organic laser emitters," has already garnered 130 citations, underscoring its transformative impact on the field. In this work, Hotta and his team showed that geographically separated researchers could collaboratively optimize organic laser materials without physical co-location, effectively decoupling expertise from instrumentation. He further advanced this paradigm by applying Bayesian optimization to high-pressure catalytic reactions, achieving efficient optimization of CO₂-based hydroformylation through surrogate model transfer. Hotta’s work is pioneering the future of decentralized, AI-driven laboratories, making him a key figure in the next generation of autonomous scientific discovery.