Geoffrey Lovely
About Geoffrey
Geoffrey was born on November 15, 1986 in Berkeley, CA. He moved to San Jose once his mother decided to relocate in 1987. In 1991 he had open heart surgery to repair a leaky valve. In 2004 he graduated from Gunderson High School in San Jose, CA and entered the Genetics program at the University of California, Davis. He graduated with a B.S.in 2007. While at UC Davis, he participated in the California Alliance for Minority Participation in Science, Biological Undergraduate Sciences Program, National Society of Black Engineers (2004), Founded the ASUCD Committee on Science and Engineering (2006), pledged Phi Beta Sigma Fraternity Inc., and was inducted into Sigma Xi. He conducted research under the guidance of Bradley Shaffer, Professor of Evolution and Ecology (2004-2007), his main project focused on "Assessing what is needed to resolve a molecular phylogeny: simulations and empirical data from emydid turtles". He also worked with Dr. David J. Segal Associate Professor of Pharmacology (2005-2007), his project was on optimizing zinc-finger nucleases as a method of gene correction via homologous recombination. During the summer of his sophomore year he was awarded an Summer Research Fellowship at the National Institutes of Health: NHLBI. He worked with Senior Investigator Dr. Robert Kotin in the Laboratory of Biochemical Genetics (Headed by Dr. Marshall Nirenburg (Nobel Laureate)), on the systematic characterization of rAAV-shRNA-HecI as a method for Glioma Gene Therapy. Currently, he is a doctoral student at the California Institute of Technology in the Division of Chemistry and Chemical Engineering: Biochemistry and Molecular Biophysics Program. His current advisors are David Baltimore (Nobel Laureate) Robert A. Millikan Professor of Biology and Rob Phillips Professor of Applied Physics and Mechanical Engineering. He is interested in Genome Mechanics: Viral, Prokaryotic, and Eukaryotic Systems both Applied and Basic Research. Once he completes his doctorate he plans on going into academia, but is open to other options.
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Biology: Viewed through a Quantitative Lens
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