Skip to content
View aleponce4's full-sized avatar

Highlights

  • Pro

Block or report aleponce4

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
aleponce4/README.md

Alex Ponce-Flores

Bioinformatics and scientific computing professional working across biological data, reproducible workflows, scientific software, and research instrumentation.

I turn complex research questions and experimental data into clear analyses, reusable workflows, and practical tools. My experience spans genomics and transcriptomics, quantitative data analysis, HPC, scientific applications, spectroscopy, and laboratory-facing software.

Portfolio · LinkedIn · GitHub

Currently a Researcher I at the University of Tennessee Health Science Center. M.S. Bioinformatics, Brandeis University (2024); B.S. Biology, University of Memphis (2021).

Areas of work

  • Biological data and computation — RNA-seq, single-cell analysis, viral genomics, and variant analysis.
  • Reproducible workflows — R, Python, Nextflow/nf-core, SLURM/HPC, containers, testing, and validation.
  • Scientific software — data-processing tools, interactive analysis, and scientific visualization.
  • Instrumentation and applied analysis — spectroscopy, signal processing, simulated acquisition, and hardware/software integration.

Selected work

Viral intra-host variant workflow — Containerized Nextflow DSL2 pipeline for viral intra-host variant calling, quasispecies haplotype reconstruction, and evolutionary selection analysis. Tested on synthetic fixtures with an end-to-end Nextflow test suite.

LIBS spectroscopy workbench — Python workbench for spectral processing, baseline correction, elemental line identification, and simulated acquisition.

Tiling amplicon primer design — Python package for designing tiled amplicon primer schemes for NGS of small viral genomes, including primer QC and pooling assignment.

Preclinical study analysis — Modular R/Shiny application for longitudinal animal-study data, survival analysis, and report export.

More work

Contact

Open to roles in bioinformatics, scientific computing, research software, scientific data analysis, and applied R&D.

Licensing

Public repositories here are released under MIT, except libs-spectroscopy-workbench, which is GPLv3. Commercial instrument software, trained model weights, vendor hardware SDKs, and client datasets are maintained privately and are not part of this profile.

Pinned Loading

  1. viral-intrahost-variant-workflow viral-intrahost-variant-workflow Public

    Containerized Nextflow DSL2 workflow for viral intra-host variant calling (iSNV), quasispecies haplotype reconstruction, and evolutionary selection analysis.

    Python 1

  2. rnaseq-nfcore-wrapper-alphavirus rnaseq-nfcore-wrapper-alphavirus Public

    SLURM execution wrapper and configuration layer for nf-core/rnaseq used in viral RNA-seq projects.

    Python 1

  3. libs-spectroscopy-workbench libs-spectroscopy-workbench Public

    Python software for LIBS spectral processing, baseline correction, elemental line identification, and simulated acquisition.

    Python 12 2

  4. preclinical-study-analysis-shiny preclinical-study-analysis-shiny Public

    R/Shiny app for longitudinal mouse study visualization and export from spreadsheet inputs.

    R

  5. lab-bioinfo-templates lab-bioinfo-templates Public

    Reusable virology and genomics analysis templates developed for the Jonsson Lab, with a Quarto gallery and synthetic example data.

    R

  6. akodon-genome-assembly-workflow akodon-genome-assembly-workflow Public

    Genome assembly and annotation pipeline for Akodon using 10x Genomics Supernova and BRAKER-based gene prediction on HPC.

    Shell