Dr. Kelly Burke has been appointed Director of the IMS Polymer Program. She joined the UConn faculty in 2014 as Assistant Professor Chemical and Biomolecular Engineering with an appointment in the Institute of Materials Science. Since joining the faculty, she has received numerous grants and awards and was promoted to Associate Professor in 2021.
“Kelly brings a lot of new ideas, energy, and support for this program,” Dr. Steven Suib, Director of IMS, noted in announcing the appointment. She succeeds Dr. Luyi Sun in the position.
Dr. Ying Li is using computers and artificial intelligence to improve delivery of nanomedicines to tumors. “A lot of medicines involve intravenous injections of drug carriers,” said Ying Li, an assistant professor of Mechanical Engineering at the University of Connecticut. “We want them to be able to circulate and find the right place at the right time and to release the right amount of drugs to safely protect us. If you make mistakes, there can be terrible size-effects.”
Dr. Li’s research is featured in an story from the Texas Advanced Computing Center at the University of Texas Austin. Read the complete article from Texas Advanced Computing Center.
Polymer Program Alumnus, Dr. Christopher Simone (’02), is featured in an article by the American Chemical Society (ACS). Simone’s reflection on his 19-year career with DuPont addresses topics such as how to find success in research and development in the public sector.
Chris joined DuPont in 2002 as a research chemist developing new products and processes to support the Kapton® polyimide films and Pyralux® laminates portfolio within the DuPont Interconnect Solutions business. In his 19 year career, he has progressed within the research and development organization developing novel Kapton® films and associated process research for the flexible printed circuit industry. Read the full ACS article.
Dr. Ying Li is one of eight UConn faculty members, and three IMS faculty members, to receive a National Science Foundation Career CAREER Award in 2021. Li will develop a machine learning model to better understand the properties of a promising sustainable material.To learn more about the award Visit UConn Today.