Faculty Profile
Xiling Shen
Department: ECE
Title: Assistant Professor
Personal Web Site:
http://biolab.ece.cornell.edu
Degrees earned:
B.S. Stanford University 2001
M.S. Stanford University 2001
Ph.D. Stanford University 2008
Address:
Office:
411 Phillips Hall
Ithaca, NY, 14853
Office Phone: 607-254-8550
Biography:
Dr. Xiling Shen has been an assistant professor in the School of Electrical and Computer Engineering at Cornell University since August, 2009. he received his BS and MS degree from the Electrical Engineering Department of Stanford University in 2001. He worked at Barcelona Design Inc. for two years, specializing in analog circuit design and optimization, before joining Professor Mark Horowtiz' research group in the Electrical Engineering Department at Stanford in 2003. In the first two years of his PhD, he collaborated with Professor Joseph Kahn on using adaptive spatial equalization to compensate modal dispersion in multimode fibers. Since 2005, he has been collaborating with Professor Harley McAdams, Professor Lucy Shapiro, and Professor David Dill on modeling and analyzing the robustness of the Caulobacter cell cycle regulation under various environmental conditions. He did postdoctoral work on synthetic biology with Dr. Adam Arkin in Bio Engineering at Berkeley prior to joining the Cornell faculty.
Research interests:
Systems biology and synthetic biology are emerging fields that try to tackle complex biological questions from a system engineering perspective rather than looking at one reaction a time. In engineering disciplines, tools and concepts have been developed for analyzing and designing intricate machineries, which can be leveraged for systems and synthetic biology. I am interested in using computational tools from control theory, information theory, and circuit design to model and analyze biological systems. Leveraging knowledge learned from systems biology, I am also building scalable and modular biological parts and devices as well as in vitro chasis using synthetic biology for applications such as biofuel, nano technology, gene therapy, and drug delivery.
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