About

Dr. Matthew I. Swindall

  • Ph.D. Computational Science, Middle Tennessee State University
  • M.S. Computater Science, Middle Tennessee State University
  • B.S. Physics, Middle Tennessee State University
  • A.S. Physics, Columbia State Community College

Skills

  • AI/ML Concepts | Deep Learning, Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks, Reinforcement Learning, Transfer Learning, Autoencoders, Transformers, Attention Mechanisms
  • AI/ML Libraries | TensorFlow, PyTorch, Keras, SciKitLearn, spaCy, BERTopic, NLTK
  • Computer Science | Unix/Linux, Parallel processing, cluster computing (SLURM), Graph Databases (Neo4j Certified Professional), Git, Github, Azure, AWS
  • Coding Languages | Python, C/C++, R, JavaScript, HTML, CSS, SQL, Cypher, Bash, LaTeX
  • Python Libraries | NumPy, Pandas, SciPy, Matplotlib, OpenCV, Neo4j, Flask
  • Mathematics | Linear Algebra, Calculus, Differential Equations, Probability, Statistics
  • Physical Sciences | Physics, Astronomy, Chemistry, Engineering
  • Additional Technical | Iot, Raspberry Pi, Arduino, Robotics, 3D Printing, CAD, CNC
  • Soft Skills | Research, Publications, Public Speaking, Teaching, Science Outreach, Technical Writing, Project Management, Team Leadership

Certifications

  • Neo4j Graph Database - Certified Professional

Academic Service

  • Program Committee - Machine Learning for Ancient Langauges (ML4AL) Workshop at The 62nd Annual Meeting of the Association for Computational Linguistics, 2024
  • Reviewer - ACM SIGMIS Computers and People Research Conference, 2024

Internships & Honors

  • La Serena School for Data Science, Class of 2021
    NFS & CMM/UChile funded Data Science for Astronomy Program in partnership with NOIRLab/AURA–O
  • MTeach Summer Internship, 2016
    STEM teaching internship in partnership with the Discovery Center at Murfree Spring.