Welcome to the Erill Lab

As Robert Robbins* put it, the DNA sequence of an organism is “the result of literally millions of maintenance revisions performed by the worst possible set of kludge–using, spaghetti–coding, opportunistic hackers (i.e. evolution) who delight in clever tricks like writing self–modifying code and relying upon undocumented system quirks”. As a result, deciphering molecular biology is the ultimate dream of a computer scientist.

Research focus

My lab focuses on genomics research, with a particular emphasis on soft-computing approaches to the understanding of gene regulation and expression. The main underlying goal is to create tools that are able to integrate diverse sets of available genomic data (i.e. genome sequences, microarray and ChIP-chip assays, etc.) in order to create more comprehensive models of gene regulation and expression.

 

PhD positions available!

If you are a Bioinformatics major with solid computational skills or a Computer Sciences / Math major interested in transitioning to a PhD in Computational Biology, send your CV to erill[at]umbc.edu.

 

See Open positions for additional details.

Lab languages

 

© Ivan Erill - 2011

What is soft-computing?

Soft-computing is a relatively new field that encompasses several techniques of artificial intelligence. Evolutionary computing, artificial neural networks, fuzzy logic and swarm optimization are the main computing paradigms behind soft-computing. These techniques all share a common trait: they are essentially data-driven methods with very few a priori assumptions and thus ideally suited to target problems that are too complex or lack enough experimental data for conventional approaches.


Made with Namu6