Sam Himes

Sam grew up in Pleasant Grove Utah. There, he fell in love with all things biology when he took a biotech class in high school. Upon being accepted to Brigham Young University he decided to major in Molecular Biology. A few years into his undergraduate degree he found that he was also passionate about coding. He decided to add Bioinformatics as a second major. He then got his master's in Biomedical Informatics, with an emphasis in Data Science from the University of Utah. For his capstone project, he used machine learning with patient data to predict adverse events using features that he engineered from nurse's charting patterns.

Sam loves spending time with his wife and dog. His other interests include baking sugary treats, biking off the calories from said sugary treats and lino printing.

Research

Sam is developing a bioinformatic analysis pipeline to process our transcriptional response element library screen. His work is helping us to define and sor through hundreds of thousands of synthetic construct designs to identify and quickly hit chase TRE motifs with desired properties.