Translational Genomics Internship

My name is Bianca Argente, and I’m currently a senior at Arizona State University completing my undergraduate studies in Biomedical Informatics. I was lucky enough to be an intern at Systems Imagination (SII) for about a year, where I worked on a project that involved conducting a variety of preliminary analyses on genomic data from the Gene Expression Omnibus (GEO) database. I got to collaborate with both a bioinformatician and a principal investigator at the Translational Genomics Research Institute (TGen), where I was able to expand my knowledge about interpreting, manipulating, and analyzing genomic data through the use of computational tools and statistical programming languages, such as R.

To say that I learned a lot from my time at Systems Imagination would be an understatement – all the knowledge I gained and the skills I developed were invaluable and helped me hone my interests and discover what I wanted to do regarding a future career path. One aspect of SII that I truly appreciated was the fact that, even as an intern, I was encouraged to explore new ideas and cutting-edge methods of problem-solving. For example, because I discovered that my particular interests lie more in bioinformatics and working with genomic data, I was able to explore cloud computing and use the Google Cloud Genomics platform to run through some variant calling pipelines. The people at SII were an integral part of this supportive work environment – everyone, both intern and staff, was always ready to help and so supportive concerning encouraging others to explore new ideas and to learn something new.

The opportunities and experiences I gained at SII influenced my research interests and played a huge role in helping me determine what I want to do after I graduate. I hope to pursue further education after my undergraduate studies, hopefully in bioinformatics or computational biology. Down the line, I hope to have a career where I can apply cutting-edge methods, such as Machine Learning and Artificial Intelligence, to analyze and make meaning of genomic data.

Posted on

October 1, 2018


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