People

Program: Molecular Microbiology and Microbial Pathogenesis

Current advisor: David Rosen, MD, PhD

Undergraduate university: Texas A&M University College Station, 2020

Program: Neurosciences

Current advisor: Daniel Castro, PhD

Undergraduate university: Ana G. Mendez University, 2019

Program: Genetics

Graduation Year: 2006

Thesis Advisor: Peter M.J. Burgers

Thesis Title: The Roles of DNA Polymerase delta and PCNA in DNA Replication and Repair

Program: Molecular Microbiology and Microbial Pathogenesis

Graduation Year: 2016

Thesis Advisor: Christina L. Stallings

Thesis Title: Investigating the Mechanism of CarD-Mediated Regulation of Transcription and Stress Response in Mycobacteria

Program: Molecular Biology

Graduation Year: 1989

Thesis Advisor: Daniel D. Hartl

Thesis Title: "Molecular Genetics of Drosophila Melanogaster: 1) Construction and Characterization of Nonsense Supressors, 2) Genome Mapping with Yeast Artificial Chromosomes"

Program: Evolutionary and Population Biology

Graduation Year: 2002

Thesis Advisor: Peter H. Raven

Thesis Title: Systematic and Population Studies of the Invasive Plant Tamarix

Program: Molecular Genetics and Genomics

Graduation Year: 2018

Thesis Advisor: Gautam Dantas

Thesis Title: Mechanistic characterization of resistome and microbiome dynamics across diverse microbial habitats

Program: Molecular Cell Biology

Current advisor: Kodi S. Ravichandran, PhD

Undergraduate university: Virginia Polytechnic Institute and University

Program: Molecular Biology

Graduation Year: 1981

Thesis Advisor: Irving Boime

Thesis Title: "Identification of a High Molecular Weight Precursor to Relaxin in a Cell-free System"

Program affiliation
Biomedical Informatics and Data Science
Cancer Biology

Research summary
Translational research in the intersection of computational breast imaging, artificial intelligence, and informatics towards improving breast cancer screening

Key words
breast cancer, computational imaging analytics, machine learning, deep learning, artificial intelligence, big data, data science, precision medicine