Dr. Ramya Kumar’s first-author article showcased in JACS Au’s Virtual Issue on Emerging Chemistry and Machine Learning

“Machine learning has become an essential tool, allowing chemists and engineers to predict or gain a deeper understanding of chemical processes. This leads to more rapid discoveries and provides access to scientific possibilities only previously imagined. The articles showcased in JACS Au’s new Virtual Issue shine a fascinating light on the exciting work being undertaken in the field of emerging chemistry and machine learning. And offer an intriguing insight into the current and future direction of the chemical sciences.” (Introduction provided by JACS Au on April 13, 2022.)

To view the Virtual Issue and Ramya’s article, “Combinatorial Polycation Synthesis and Causal Machine Learning Reveal Divergent Polymer Design Rules for Effective pDNA and Ribonucleoprotein Delivery,” click here.

Ramya is currently an Assistant Professor of Chemical and Biological Engineering at the Colorado School of Mines. Previously, she was a postdoctoral associate in the Reineke Research Group.