Essays, research, and the occasional strong opinion.

A Machine Learning Framework for Optimized and Reduced Experimentation in Cell Culture Process Characterization

My MIT Leaders for Global Operations thesis, developed with Amgen. Hybrid mechanistic and machine learning models matched standard prediction accuracy in process characterization studies while using 54 percent fewer experiments. The full case study, with methodology and figures, is on the Work page.

Trends in Biotechnology

xTech Futures report

A contributor to Deloitte's xTech Futures report on the future of biotechnology, which frames the field across three lenses: People, Products, and Planet. It covers where biotech is heading in health, materials, and sustainability, and what it means for the organizations building in the space.

Quantifying hydrodynamic contribution to transport in non-Brownian suspensions.

Co-authored during undergraduate research at Northwestern's Richards Soft Matter and Colloid Laboratory, on the conductive properties of metallic nanoparticle suspensions.