Research

My PhD research. Boiling liquid is one of the best ways to cool powerful electronics, but it comes with violent swings in pressure and temperature that make systems hard to run. I work on ways to predict and actively calm those swings so this kind of cooling can be used more widely.

At a national neutron-scattering facility, scientists lose hours of precious beam time waiting for furnaces and freezers to cool between experiments. At Advanced Cooling Technologies, I built systems that cut those waits from hours to minutes, and published the work along the way.

Tens of thousands of small oil-and-gas sites burn off methane, a potent greenhouse gas, through flares that often don't fully destroy it. This research developed a compact burner, based on a clever heat-recycling design, that destroys methane thoroughly while producing almost no NOx pollution.

Designing cooling channels for modern chips means choosing between slow, expensive simulation and unreliable rules of thumb. This project trained a machine-learning model on simulation results so engineers could evaluate a new design in seconds instead of days.

Finding a molecule that binds to a disease target usually means testing thousands of candidates in a lab. Built for a Georgia Tech hackathon, this project uses AI to rank the most promising ones, and to say when it's not confident, so researchers don't waste time on bad leads.

A multi-university study I contributed to at Penn State, showing that a simple change, how tightly you pack tiny gel particles together, controls how stiff a tissue scaffold is and how cells behave inside it. Useful for engineering better materials to grow tissue on.