Designing and applying in situ analysis to enable chemical discovery.
Our research is aimed at solving a diverse set of lingering problems in modern organic chemistry. We employ tools from both classical and modern physical organic chemistry to elucidate the mechanisms of complex reactions, resolve racemic compounds, and translate fundamental insights into impactful, deployable technologies. We are also accelerating the rate of research and discovery by integrating these instruments with autonomous robotics to develop self-driving laboratories.
We are bringing together robotic automation and machine learning to make the self-driving laboratory a reality. A simple demonstration is a colour matching problem: the system is provided a target colour but no starting information on the colours of the three dyes being dispensed. The system autonomously finds a solution using Bayesian optimization.
Our group is developing advanced synthesis and crystallization processes that benefit the pharmaceutical, mining, and clean energy industries. We are now deploying our technology to recover high purity, battery-grade lithium from waste brines that would otherwise pollute the environment.
By combining kinetic studies and in-situ reaction monitoring, we can look inside catalytic cycles to elucidate the underpinning reaction mechanisms of every step. Understanding these complex mechanisms enables us to optimize reactions at a level of granularity not previously accessible.