Andrew Worthy — Data Scientist & Computational Neuroscientist

Looking for a quick overview? Download Resume (PDF)
PhD candidate with 5+ years of experience building data analysis pipelines, developing production software tools, and extracting insights from high-dimensional experimental datasets. I am seeking roles in data science, machine learning, and analytics.
  • Python
  • Pandas / NumPy
  • Scikit-learn
  • Statistical Modeling
  • Signal Processing
  • Data Visualization
  • PyQt6/GUI Development
  • Computer Vision
  • Time-Series Analysis
  • MATLAB
  • R
  • Git / GitHub

What I Bring

Data Analysis

Statistical Modeling & Analysis

  • 5+ years analyzing large-scale experimental datasets
  • Hypothesis testing, regression, ANOVA, and bootstrap methods
  • Exploratory data analysis, feature engineering, and cleaning
  • Time-series analysis and signal processing pipelines
Engineering

Software Development

  • Production-ready desktop applications built with PyQt6
  • Automated multi-channel data processing pipelines
  • Clean, documented, version-controlled codebases
  • Strong Git/GitHub workflow for collaborative projects
Machine Learning

Predictive Modeling

  • Supervised learning, clustering, and dimensionality reduction
  • Model building and cross-validation with scikit-learn
  • Computational modeling of complex biological systems
  • Computer vision for behavioral tracking and analysis
Communication

Visualization & Presentation

  • Publication-quality figures for technical and general audiences
  • Interactive dashboards and data exploration tools
  • Peer-reviewed technical writing and documentation
  • Presenting complex findings to diverse stakeholders

Technical Skills

Programming
  • Python (Advanced)
  • MATLAB (Proficient)
  • R (Proficient)
  • SQL (Working knowledge)
Data Science & ML
  • NumPy
  • Pandas
  • SciPy
  • Scikit-learn
  • Matplotlib
  • Seaborn
  • Plotly
  • ggplot2
Development Tools
  • PyQt6
  • Git / GitHub
  • Jupyter
  • VS Code
Domain Expertise
  • Electrophysiology (EMG & Neuropixels)
  • Computer Vision (SLEAP)
  • Experimental Design
  • A/B Testing Methodology
  • Neural Simulation (Brian2)

Selected Projects

PyQt6 Desktop Application · Data Analysis Pipeline
Python PyQt6 Signal Processing Matplotlib Statistics

Full-stack desktop application for processing, visualizing, and analyzing multi-channel electrophysiological recordings. Built from scratch to replace an entirely manual workflow.

  • Handles 100+ GB datasets with efficient memory management
  • Custom filtering, peak detection, and baseline correction algorithms
  • Automated statistical reporting — reduced analysis time by ~80%
Automated Figure Generation · Batch Processing
Python PyQt6 Matplotlib Batch Processing

Companion application for automated generation of publication-quality figures with configurable styling, batch processing, and multi-format export.

  • Export to PNG, SVG, and PDF in a single pass
  • Modular configuration system for reproducible outputs
  • Standardized visuals adopted across the research group
Spatial Data Visualization · Published Research Tool
MATLAB Spatial Analysis Scientific Viz

Contour-plotting toolkit for spinal cord cell density analysis. Served as the reproducible visualization pipeline for a peer-reviewed eLife publication.

  • Spatial interpolation algorithms for smooth density maps
  • Custom colormaps optimized for print and digital publication
  • Automated figure generation from raw count data

Key Achievements

4
Peer-reviewed publications
50+
Paper citations
3
Open-source tools built
~80%
Analysis time reduction
  • Led a first-author eLife study (2024) from experimental design through publication — managed a multi-lab authorship team and delivered a reproducible, open-source contour visualization pipeline alongside the paper
  • Engineered pipelines that have processed 1,000,000+ experimental recordings, automating workflows that previously required hours of manual effort per session
  • Shipped 3 production software tools actively used by 5+ researchers — built, documented, tested, and maintained entirely from scratch; zero critical bugs reported since deployment
  • Drove an ~80% reduction in per-session analysis time by replacing a manual Excel-based reporting workflow with a custom Python/PyQt6 desktop application
  • Mentored 6 undergraduate researchers in histology, microscopy, and image analysis over 5 years at Emory University
  • Peer reviewer, Journal of Emerging Investigators (2021–2024) — developed rigorous analytical evaluation and technical written communication under deadline
  • Science communicator: presented complex research findings to non-specialist audiences at Atlanta ComSciCon (2025)

Education

Ph.D. in Neuroscience (Expected 2028)
Emory University — Laney Graduate School
Computational modeling · electrophysiology · data analysis
B.S. Biology (Summa cum laude) & B.A. Chemistry (2020)
Emory University

Let’s Connect

I am open to opportunities in data science, machine learning, and analytics where I can apply quantitative methods to real-world problems, particularly in healthcare and biotech. Specific interests include time-series forecasting, predictive modeling, data-pipeline development, and computer vision.

Selected Publications

For a complete list of publications and research, visit my full CV or Google Scholar profile.

  1. Liu W, Worthy AE, Emanuel AJ (2026) “Synchrony within Aβ mechanoreceptor subtypes governs signal propagation to primary somatosensory cortex.” bioRxiv (preprint, under revision at Journal of Physiology). DOI: 10.64898/2026.01.16.700009

  2. Worthy AE, Anderson JT, Lane AR, et al. (2024) “Spinal V1 inhibitory interneuron clades differ in birthdate, projections to motoneurons, and heterogeneity.” eLife 13:RP95172. DOI: 10.7554/eLife.95172.3

  3. Worthy AE, Vega NM (2020) “Mucoidy, a general mechanism for maintaining lytic phage in populations of bacteria.” FEMS Microbiology Ecology 96(10):fiaa162. DOI: 10.1093/femsec/fiaa162

  4. Worthy AE (2020) “Spiteful Weapons and the Environmental Dependence of Phage.” Honors Thesis, Emory University.