ResearcH.

"Un gran poder computacional conlleva una gran responsabilidad a la sociedad"

My research group (MBG) at Fresno State focuses on applying mathematics to (mostly) biological problems.

Machine Learning Methods for Genomic Variant Detection

To uncover genomic variation in related individuals, I develop machine learning tools that leverage known information in the prediction of this variation.

Optimization & Deep Learning Methods for Noisy Data

In the context of low-quality images and genomic data, I create and apply deep learning frameworks to accurately classify these data.

Statistical & Predictive Modeling of Disease Severity

I also work on mathematical and statistical models for the prediction of Valley Fever (and other disease) severity using genomic and disease data.

JOIN MBG

I am currently looking for graduate (Master's) students to join the group! Desired background is in linear algebra, programming skills, and/or bioinformatics. If you are interested in joining the research team, please complete the following Google Form.

GITHUB

You can find my code (including tutorials) below

Collaborators

University of California, Merced

Suzanne Sindi, Assistant Professor of Applied Mathematics
Roummel Marcia, Associate Professor of Applied Mathematics

Lawrence Livermore National Lab

Omar DeGuchy, Data Scientist

University of Chicago

David Uminsky, Senior Research Associate, Director for Data Science, Department of Computer Science