Back in 2019, during my chemistry degree, I realised that much of chemical analysis was still being done with pen-and-paper; memorising “magic numbers,” applying rough rules, and sketching fragmentation mechanisms to guess structures. With a background in programming, it struck me that much of this process could be automated. However,  chemists rarely knew how to code, and programmers lacked the chemistry knowledge needed to bridge the gap. The result is clunky vendor software, endless manual work, and little progress in smarter analysis.

So, I decided to change that. During my PhD, I developed new algorithms to make mass spectral analysis faster, more accurate, and less reliant on guesswork. Now, with Mole-Clue, I’m bringing these methods beyond academia, by building practical tools that empower chemists to extract insights from GC-MS and LC-MS/MS data more quickly and reliably.