Zoltán A. Tuza

BioCRNpyler compiles chemical reaction networks from modular biochemical parts, enabling rapid model development and exploration across diverse contexts.

This paper presents a linear programming strategy to reduce pipette tip usage in automated DNA assembly by optimizing liquid-handling robot paths.

The paper introduces a MATLAB toolbox for simulating genetic circuits in E. coli-based cell-free systems, demonstrating its ability to predict circuit behavior using Bayesian parameter inference.

The paper develops a library of AHL-receiver devices and a software tool to identify orthogonal chemical communication channels for synthetic microbial consortia.