Hi! I'm Colby...

About Me

I'm Colby T. Ford, Ph.D.

I'm a Computational Biomathematician and Data Scientist. I have a passion for Mathematics and Genomics research. So, I use Machine Learning and Visual Analytics to help along the way.

Originally from Lenoir, North Carolina, I studied Applied Mathematics, Data Science, and Computational Biology at the University of North Carolina at Charlotte.
I currently work as a researcher in the Department of Bioinformatics and Genomics at UNCC, as a Data Scientist/Artificial Intelligence Solution Architect for BlueGranite, a Microsoft partner consulting firm focused on delivering Data and AI solutions, and as the Directory of Data Science for HydraFacial, a dermatology medical device company. I am currently located in Charlotte, North Carolina.

  • Connect:
  • Mathematics

    Statistical Modeling
    Bayesian Nets
    Operations Research
    Numerical Logic

  • Machine Learning

    Algorithm Design
    Natural Language Processing
    Deep Learning
    Artificial Intelligence

  • Computational Biology

    Human Genomics
    Molecular Sequence Analysis
    Infectious Diseases

  • Distributed Computing

    Apache Spark (Databricks)
    Cluster Computing (MPI/SNOW)
    GPU-Based Processing (CUDA)
    High Performance Computing

  • Programming

    Visual Basic

  • Web and Design

    API Development

  • Genomics, Phylogenetics, Infectious Diseases


    Shiny web application for visualizing disease transmittion networks from phylogenetic trees.

    Strainhub is designed as a web-based software to generate disease transmission networks and associated metrics from a combination of a phylogenetic tree and a metadata associated file. The software maps the metadata onto the tree and performs a parsimony ancestry reconstruction step to create links between the associated metadata and enable the construction of the network.

  • Genomics, Infectious Diseases

    Genetic Capitalism in E. coli

    Persistence of Genes that Confer Antimicrobial Resistance in the History of Escherichia coli Genomes

  • Genomics, Infectious Diseases

    P. vivax EBP Positive Selection Analysis

    Positive selection analysis of the erythrocyte binding protein in P. vivax as it relates to malaria infections.

  • R Package


    Easily output package citations and tidy session information for reproducibility in research publications.

  • R Package


    R functions for interfacing with the Microsoft Genomics service in Azure.

  • R Package


    A patchwork of efficient and tidy multidimensional data operations.

  • Human Genomics, Phylogenetics

    An Integrated Phylogeographic Analysis of the Bantu Migration

    Using phylogenetic analysis, dimensionality reduction, and machine learning, a combined migratory model of the Bantu migration was formed with heterogeneous data.

  • R Package, Genomics


    Parallel Implementations of the Empirical Bayesian Elastic Net Cross-Validation in R.

  • Human Genomics, Phylogenetics, Linguistics

    Visualizing Linguistic Disparity of Uto-Aztecan Languages and Bantu Languages

    Using unsupervised learning for dimensionality reduction and visualization.

  • Phylogenetics, Epidemiology, Infectious Diseases

    Spread of Middle East Respiratory Coronavirus: Genetic versus Epidemiological Data

    Analysis and visualzation of the WHO reports of MERS infections versus genomic data.

  • Human Genomics, Machine Learning

    MPS-IIIB/NAGLU Prediction

    PolyPhen2 + Machine Learning prediction of the effects of genetic mutations on mucopolysaccharidosis IIIB.


Let's Connect!

Want to collaborate, consult, or connect? Let's chat and see how we can work together to do awesome things...

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