people   Jeremy is the sole member of the Purvis Lab. Born in Sarasota, Florida in 1979, he received a B.S. (2002) and M.S. (2004) in Microbiology from the University of Florida under the supervision of Lonnie Ingram. In a bold display of adventure, Jeremy left the golden shores of Florida to pursue a degree in Genomics and Computational Biology at the University of Pennsylvania in Philadelphia. Mentored by Scott Diamond (Chemical Engineering) and Ravi Radhakrishnan (Bioengineering), his doctoral work has focused on understanding cellular signaling from a systems perspective. Here are a few unpublished writing samples: On the Emerging Complexity of Gene Expression This piece was written for the Literature Review and Analysis portion of the 2007 Genomics and Computational Biology preliminary exam 2007. Penn has an especially high concentration of genome-wide association expertise and the focus of this analysis was the variability in gene expression — itself a heritable trait detectable by genetical genomics. A Critical Assessment of the Bayesian Approach to Causal Network Inference Written as a assignment for an independent study (Statistical Methods in Bioinformatics), this piece was intended mostly to humor our illustrious statistician and friend, Warren Ewens. A student of the frequentist old school, Warren was somewhat suspicious of Bayesian analysis and once interrupted class to ask each student to confess whether they were a Bayesian or a Frequentist (he compared this distinction to being either protestant or catholic, with shades in between). Despite the biting tone of the critique, I am actually a big fan of the Sachs article as it has greatly influenced my thinking. Generalizability of Machine Learning Methods in Bioinformatics Also a class assignment (Principles in Computational Biology), this paper examines a recent collection of machine learning techniques and focuses on the generalizability of each method. Combined Statistical Methods for Describing Interacting Protein Networks A back-of-the-envelope method for generating probabilistic models of protein-protein interaction networks with spatial resolution. Not my most stellar effort; probably won't get funded. A Systems Approach to Cellular Signal Transduction My Ph.D. thesis. If you happen to be taking a 14-hour flight, feel free to read this one. Guest Blog Posts I have had the great honor of contributing guest posts to Becky Ward's infamous ittakes30 blog, the highly venerated mouthpiece of systems biology. Here's one on Ontogeny and Phylogeny and a review of the 2010 Koch Institute Summer Symposium. An excellent guest post by Andrew Murray on How to Give a Science Talk.