Interdisciplinary Innovation Initiative Awards

Jenny Amos
6/12/2012  8:00 am

 Bioengienering is proud to recognize the many awards for the Illinois Innovation Summit.  The Interdisciplinary Innovation Initiative (In3) Program was launched in December, 2011 to stimulate innovations in interdisciplinary research and education across campus. The In3 program aims to facilitate collaborations that support innovative research and education activities, chart new directions and enhance campus interdisciplinarity.

A total of 50 proposals was submitted to the program in 2012, with a total budget request of more than $9.2 million. Proposals were reviewed and discussed in detail by the In3 Review Committee. A total of $1.86 million was awarded, with funding provided by the OVCR, the Beckman Institute, and the Colleges of Engineering and LAS. 

I am pleased to announce that the following projects have been selected for funding (BIOE faculty underlined, affiliate italicized):

Jian Ma, Rohit Bhargava, Jiawei Han, Benita Katzenellenbogen, Wen-Mei Hwu, Deming Chen, Jay Kesan.  Developing an Interdisciplinary Research Program in Cancer Genomics:

Deana McDonagh, Stephen Boppart, Brian Ross, Ting Lu, Bruce Schatz.  Interdisciplinarity + Innovation + Creativity = Brighter Future

Sheng Zhong, Taekjip Ha, Fei Wang.  Model-based dissection of cell-fate decisions

"How does a single cell - the fertilized egg - give rise to a complex, multicellular organism? The question reflects one of the greatest mysteries of life, and represents a fundamental challenge in biology. This project aims to develop novel mathematical, engineering, and biological tools to assemble so far scattered information to derive the rules that govern cell specialization events in mammals. The general principles and the predictive models generated from this project will be important to understand developmental disorders and cancer formation (neoplastic growth)."

Yi Lu, John Katzenellenbogen, Stephen Boppart, William Helferich, Jianjun Cheng, Wawrzyniec Dobrucki.  Selective Agents for Multi-target and Multi-modal Cancer Imaging and Therapy



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