about

howdy!

i work in model selection for genome sequences i'm presently completing my PhD at UC berkeley's center for computational biology

research brief

in addition to model development, much of my research involves designing and applying ML benchmarks to AI sequence models. see the GUANinE website i maintain for details for a broader look at my field, i would point one to the (MLCB) conference :)

i think a lot about the predictive models we use for gene sequences with the intent to better methods development in computational, evolutionary, and precision genomics. im not quite a "methods" person in the genomics world, but more of a "models for methods" person. my modeling philosophy is fairly syncretic and originates in statistics, natural language processing, and parallel computing

given health inequities and current research efforts, i believe it important to prioritize fairness in modern methods development. in addition to fairness as a research interest, i formerly worked with the bias busters RSO at berkeley to better understand and build inclusive environments, and im always happy to chat about equity and inclusion in academia and research :)

contact

i can be reached at

eyes.robson [αt] berkeley [dοt] edu

past

from august of 2018 to may of 2020, i was a research assistant in the sytems biology group of Professor Shawn Gomez of the UNC/NCSU department of biomedical engineering, where i worked on grant-writing, visualizations, and modeling of protein-protein interactions. i completed my MS thesis under professor Vladas Pipiras of the UNC STOR department on theoretical aspects and automatic evaluation of lineage reconstruction in scRNA-seq data