CV

Education

• Ph.D in Astrophysics, Vanderbilt University, 2023
  • Thesis: Characterizing Open Clusters and Spectroscopic Eclipsing Binaries with Machine Learning Frameworks
• M.S. in Physics, Fisk University, 2017
• B.S. in Astronomy, University of Florida, 2011

Work experience

• 01.2024 - : Part-time AI/ML Instructor, AI-4-ALL
  • Provide technical instruction to minority undergraduates
  • Provide ethical instruction/discussion on AI technologies
  • Aid students in constructing AI project over 13 weeks
• 01.2022 - 08.2023: Researcher, Vanderbilt University
  • Achieved less than 3% error with flexible Bayesian inference framework for time-series data
  • Built hierarchical Bayesian model for population parameter estimation
  • Designed neural network regression model for spectral data analysis
• 08.2021-01.2022: Data Analyst, Center for Computational Astrophysics, Flatiron Institute
  • Deployed flexible maximum likelihood algorithm in data processing pipeline
  • Leveraged Gaussian process models for remove noise from sparse multi-sourced time-series data
  • Created optimized python software for teaching astronomy classes
• 05.2019-08.2021: Graduate Researcher, Vanderbilt University
  • Created automated clustering pipeline for noisy data with greater than 95% accuracy
  • Increased clustering algorithm sensitivity by 11%
  • Implemented written python code to automate hundreds of custom SQL queries
  • Performed outlier detection of clusters with probabilistic graph analysis

Skills

• Python
  • Numpy
  • Scipy
  • Sci-kit Learn
  • Tensorflow + Keras
  • Pandas
  • Numba
  • Pyspark
  • OpenCV
  • NLTK
• Machine Learning
  • Data Mining
  • Data Engineering
  • Clustering
  • Classification
  • Regression
  • Random Forests
  • Gaussian Processes
  • MCMC
  • MLE
  • Model Selection
  • Model Validation
  • Deep Learning
    • Convolutional Neural networks
    • Bayesian Neural Networks
    • Autoencoder Neural Networks
• Analytics
  • Descriptive Statistics
  • Predictive Analysis
  • Bayesian Inference
• SQL
• Visualizations
  • Python
    • Matplotlib
    • Seaborn
    • Plotly
    • Bokeh
  • Tableau
• Software Development
  • Github
  • Jupyter
  • Docker
• Languages
  • English (primary)
  • Spanish (secondary)
• Soft-Skills
  • Research
  • Presentations
  • Collaboration
  • Mentoring

Certifications

• Correlation-One
  • Data Skills 4 All
• Alteryx
  • Machine Learning Fundamentals
  • Foundation

Teaching

2017 Outreach for Total Solar Eclipse Readiness

2018-Spring-Astro-Lab

2024-Spring-AI-4-ALL