Pharmaceutical Informatics

Sangtae “Sang” Kim

 Sangtae Kim’s principal investigator responsibilities are focused on advancing the use of information technology and computationally-based improvements in all stages of pharmaceutical research and development to speed the movement of drugs from discovery through clinical trials to patient use. 

“We will leverage the exceptional interdisciplinary environment of the Wisconsin Institutes for Discovery and UW-Madison campus to develop innovations in ‘alliance management.’ We intend to harness the power of collaboration across the biological, physical and social sciences, economics and education to improve the productivity of the biotech and pharmaceutical industry’s research and development activities.”
– Sang Kim

Fernández Lab

Distinguished Investigator Ariel Fernández is a physical chemist formally trained as a mathematician. He is the inventor of target wrapping, a molecular binding mode and filter that promises to radically improve a wide variety of medical therapies. He brings his pioneering work in this exciting drug discovery technology to the Morgridge Institute, where as leader of the Fernández Lab he will continue developing methods to generate more stable, effective and safer pharmaceutical compounds.

Fernández, an Argentinean-American, earned a Ph.D. in chemical physics at Yale University in 1984, and most recently held the Karl F. Hasselmann Chaired Professorship of Bioengineering at Rice University. His research spans various areas of algebra (representation theory), physical chemistry, physics and most recently, molecular evolution and drug discovery.

Description of Ariel Fernández' main research accomplishment (16 KB pdf file)

Ariel Fernández Research Website

Challenge Area Goals

• Develop a network of fundamental research projects in computational chemistry and computational biology
• Develop compounds that are safe and viable that solve disease models
• Expand the chemical library through petascale computational chemistry

• Develop new economic models for alliances between industry and universities