CV

Resume

Research Interests

  • Image generation, Generative Adversarial Networks
  • Automatic/machine colorization, Effective feature fusion
  • Contrastive learning, Neuroevolution

Experience

  • Spring 2024
    Associate Professional Staff I
    Johns Hopkins University Applied Physics Laboratory
    • Applied research and engineering for machine learning capabilities with the A3G Weapon Control Concepts Development Group.
  • Fall 2022
    Fall Intern
    NASA Goddard Space Flight Center, Greenbelt, Maryland
    • Developed multiple neural network regression models to predict in-situ water clarity from multispectral satellite data.
    • Built a codebase for data collection, model training, and visualization with flexibility in mind for the NASA team going forward.
    • Validated a variety of trained models (w/ various hyperparameters and architectures) for performance on multispectral/in-situ test sets.
  • Summer 2022
    Summer Intern
    NASA Goddard Space Flight Center, Greenbelt, Maryland
    • Investigated using unsupervised deep generative models for supplementing current NASA remote sensing datasets.
    • Trained a modified StyleGAN2-ADA model to convergence through various training paradigms given scarce data.
    • Explored routes to quantitatively evaluate quality of generated samples through trained regression models.

Education

  • 2023
    M.S. in Computer Science
    Northwestern University, Evanston, Illinois
    • GPA: 3.92/4.00
    • Advised by Dr. Aggelos Katsaggelos.
    • Thesis: Multi-Stage Automatic Line-Art Colorization with Style and Color Priors
  • 2021
    B.S. in Computer Science
    Louisiana State University, Baton Rogue, Louisiana
    • Cum laude
    • Concentration: Second Discipline in Philosophy

Organizations

  • Northwestern AI Journal Club (AIJC), Member
    • Presented thesis work “Multi-Stage Automatic Line-Art Colorization with Style and Color Priors”
    • Presented review of “Hierarchical Text-Conditional Image Generation with CLIP Latents” by Ramesh, et al.
    • Presented review of “Tag2Pix: Line Art Colorization Using Text Tag with SECat and Changing Loss” by Kim et al.
    • Presented review of “Segmentation in Style: Unsupervised Semantic Image Segmentation with StyleGAN and CLIP” by Pakhomov et al.
    • Presented review of “Unpaired Image-to-Image Translation of Cycle Consistent Adversarial Networks” by Isola et al.

Honors and Awards

  • 2016
    • Tops Honors Award
    • Magnolia Scholarship