Scientific consulting

Better development decisions, made with data.

I help pharmaceutical and chemical teams make better development decisions with data. That can mean standing up a modeling capability from scratch, rescuing a stalled optimization, or coaching a group so they can carry the work forward themselves. My sweet spot is the space between mechanistic understanding and machine learning — where a well-posed model turns a guessing game into a plan.

How I can help

• Process modeling & kinetics. Mechanistic, hybrid, and Neural ODE models for reactions and unit operations — built to predict, not just to fit.
• AI-driven experiment design. Bayesian optimization and design of experiments to reach better process conditions in dramatically fewer runs.
• High-throughput experimentation. Automation, intensification, and parallelization strategy to generate data-rich datasets efficiently.
• Digital capability building. Helping a team adopt in-silico tools — the training, workflows, and change management that make a capability stick.

Why work with me

More than a decade delivering on real pipelines — route scouting through commercialization and tech transfer — across small molecules and biologics, with the publications and awards to show the work held up to scrutiny. I build tools scientists actually use: my open-source library obsidian puts algorithmic optimization in the hands of bench chemists.

Interested in working together?

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