Hexalt provides computational chemistry consulting for biotech — combining rigorous physics-based methods with machine learning to de-risk decisions and accelerate discovery, from hit identification through lead optimisation.
Hexalt provides computational chemistry consulting for biotech — combining rigorous physics-based methods with machine learning to de-risk decisions and accelerate discovery, from hit identification through lead optimisation.
Targeted computational solutions tailored to each stage of your drug discovery program. This includes, and isn't limited to, the following:
Founder & Principal Scientist, Hexalt
Hexalt was founded on a simple idea: computational chemistry as an integral partner in drug discovery, driving decisions from the start.
I'm a computational chemist with over 8 years' experience applying machine learning in drug discovery across biotech, academic spinouts, and government. I've worked across the full pipeline — from hit identification to lead optimisation — combining hands-on technical work with leading teams and collaborating closely with experimental scientists.
At Hexalt, I work directly with your team as an extension of your own. My approach combines deep scientific expertise, hands-on involvement, and a genuine passion for computational chemistry to deliver actionable insights that accelerate your program.
Different projects call for different arrangements. Start with a scoped project and scale up, or engage directly at the level that fits your needs.
Dedicated capacity embedded in your workflow. The most continuous and integrated engagement model available.
Ongoing, flexible access to computational expertise. Priority turnaround without the commitment of reserved capacity.
A defined engagement for specific tasks or questions. Clear scope, clear timeline, clear deliverables.