
Last week, our HTE and Automation Chemist, Kaiman Cheung, led a workshop at the University of Bristol, introducing researchers to Bayesian optimization for chemical synthesis.
As part of the workshop, Kaiman organized a hackathon in which teams worked through optimization challenges, comparing different initialization strategies and seeing firsthand how early decisions shape the trajectory of a campaign.
At ReactWise, we care about helping the next generation of chemists understand new data-driven methods that can accelerate their research.
Making these methods accessible beyond the machine learning community is an important part of driving adoption across the field.
A big thanks to Kaiman for leading this and to the University of Bristol for the partnership.
If your university or research group would be interested in a similar workshop, get in touch - we would love to bring this to more departments.