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Eero Simoncelli Computational biologist

Eero Simoncelli’s research interests span a wide range of topics in the representation and analysis of visual images, in both machine and biological systems. Since 2000, he’s been an Investigator of the Howard Hughes Medical Institute, under their program in computational biology.


Elected Fellow of the Institute of Electrical and Electronic Engineers (IEEE), 2008.

IEEE Signal Processing Society Best Journal Article Award, 2004.

Alfred P. Sloan Foundation Research Fellowship, 1998.

Relevant Publications

Z. Wang et al, "Image quality assessment: from error visibility to structural similarity," IEEE T. Image Process, vol. 13, no. 4, pp. 600-612, Apr. 2004.


E. P. Simoncelli, "Optimal estimation in sensory systems," in The Cognitive Neurosciences IV, M Gazzaniga, Ed., pp. 525-–535. Cambridge: MIT Press, Oct. 2009.



Associate Fellow Learning in Machines & Brains


New York UniversityDepartments of Neural Science, Mathematics, and Psychology


PhD (Electrical Engineering and Computer Science) Massachusetts Institute of Technology

MS (Electrical Engineering and Computer Science) Massachusetts Institute of Technology


United States

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