Charles Frogner

• Academic Institution: Massachusetts Institute of Technology
• Program Year: 3
• Practicum(s):
  Lawrence Berkeley National Laboratory (2011)
• Degree(s):
  B.A. Computer Science, Harvard University, 6/2006
• Field of Study: Computational Biology
• Academic Advisor: Tomaso Poggio

Summary of Research:

I want to build integrated computational and experimental tools for studying biology. An increasing number of techniques exist for collecting measurements over whole genomes, over large libraries of molecules and over many individual specimens. Likewise, a growing catalog of computational models can be used to interpret this data. I hope to combine computational modeling with systematic perturbations to address biological questions that might otherwise be intractable.

Publications:

Charlie Frogner and Avi Pfeffer. Discovering weakly-interacting factors in a complex stochastic process. Advances in Neural Information Processing Systems, Vol. 21, 2007.

Charlie Frogner, Christopher A. Bristow, Tom Morgan, Lorenzo Rosasco, Pouya Kheradpour, Rachel Sealfon, Tomaso Poggio, Manolis Kellis. Learning recurrent mRNA expression patterns from systematic analysis of in-situ images of Drosophila embryos. (Poster) RECOMB Regulatory and Systems Biology, 2009.

Charlie Frogner, Christopher A. Bristow, Stanislav Nikolov, Anna Ayuso, Tom Morgan, Lorenzo Rosasco, Tomaso Poggio, Manolis Kellis. Integrative image analysis of Drosophila in situ hybridization data. (Poster) CSHL Automated Imaging and Phenotyping, 2010.

Awards:

Lucent Global Science Scholar (2002)
MIT Presidential Fellow (2008)