Chemical & Biomolecular Engineer · Systems Engineer · Computational Scientist

Different systems.
The same curiosity.

I came to biological modeling through chemical engineering, process dynamics, and control. The systems changed. The questions kept connecting: what is the problem? What can we measure, what can we infer? What can we design, how do we design, and what should we do next?

Today, I work at the intersection of first-principles models, scientific AI, and research software in Chemical & Biomolecular Engineering at the University of Nebraska–Lincoln.

Why systems engineer?

I use systems engineering as an organizing description of my approach: understanding interactions, linking measurements to models, testing assumptions, and designing useful interventions. My formal training is in chemical and biomolecular engineering.

That does not mean every system is interchangeable. Biological interpretation, instrument behavior, and industrial control each demand their own domain knowledge. The value is in bringing a disciplined modeling approach to those differences.

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import msystems
model = msystems.build()
res = model.optimize()
# Engineering at scale

The Value Proposition

Translating complex systems into tractable models and actionable insights.

Holistic Systems Architecture

Building integrated frameworks that map and analyze complex biological and chemical interactions, from cellular metabolism to ecosystem dynamics.

Digital Twins

Developing predictive computational replicas of physical and biological processes to run virtual experiments and optimize outcomes without empirical cost.