I. ABOUT ME
A curiosity about life.
From evolutionary histories to the workings of the human mind.
I. The Study of Life
My foundation in biology at the University of Houston has shaped how I approach living systems: through their evolutionary histories, the information encoded in genomes, and the diversity of cells that make up tissues.
My research experience connects molecular evolution, comparative genomics, phylogenetics, and gene-family analysis with single-cell and single-nucleus transcriptomics. Comparing sequences helps me ask how biological systems have changed; examining gene expression helps me ask how cells differ within those systems.
II. Computation as an Instrument of Discovery
I use Python, R, and bioinformatics workflows to turn biological questions into analyses that can be inspected and repeated. Genomic data analysis requires more than running software: it involves choosing comparisons, checking assumptions, and deciding what the data can support.
Scientific computing and high-performance computing make larger analyses practical. I am interested in reproducible workflows that record preprocessing, parameters, and computational environments so that an interpretation can be traced back to its evidence.
III. Discovery, With a Human Purpose
My long-term goal is to become a physician-scientist. Neuroscience, neurology, psychiatry, and neuropsychiatry interest me because they connect biological mechanisms with cognition, behavior, and human experience. These are directions for future learning, not clinical qualifications I hold.
I hope to connect fundamental research with questions in medicine and translational research. The history and philosophy of science also inform this ambition: how evidence is interpreted matters as much as the tools used to collect it.
A path in progress
Curriculum vitae →Codon Usage Bias
Undergraduate computational research on synonymous codon preferences in approximately 250 Escherichia coli genomes.
Undergraduate Research Day
Research poster presented at the University of Houston.
View research output ↗Comparative Genomics & Evolution
Six-species Tetrahymena comparative genomics and phylogenomics, with ongoing gene-family and molecular-evolution analyses.
Single-Cell Transcriptomics
Computational investigation of SOX4 expression and hepatobiliary cell populations. Detailed findings remain unpublished.