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Researching
👨‍🎓
Researching
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Achievements

Achievement: YOLOAchievement: Public SponsorAchievement: StarstruckAchievement: QuickdrawAchievement: Pull Shark
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@Zero-Development @MECS-Research-Lab
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danielathome19/README.md

Hi 👋 I'm Dr. Daniel Szelogowski

I teach computer science and choir currently at the high school level (along with some online college-level classes and private music lessons) and conduct research primarily in the fields of music, signal processing, machine learning/deep learning, data science, education, and theoretical computer science.

🎓 My Education

  • 🤖 Ph.D. Artificial Intelligence - Capitol Technology University (2022-2024)
  • 🖥️ M.S. Computer Science - UW-Whitewater (2020-2022)
  • 🧬 G.C. Applied Bioinformatics - UW-Green Bay (2022-2023)
  • 🎼 B.M. Music Education - Choral Emphasis and Computer Science - UW-Whitewater (2017-2021)
    • 🕸️ Web Development and Administration Minor
    • 🤵 Conducting Undergraduate Certificate [Music]
  • 🏫 A.A.S. General Studies - UW-Milwaukee (2021)

Find out more about me on my homepage or LinkedIn.
Also, check out my research on ORCID or ResearchGate!

⚙️ Skills and Technologies

Here are all the various tools and programming languages I have used in my personal work over the last 15+ years.

  • Software Suites: Adobe CC, Microsoft Office (including Power BI), JetBrains, Visual Studio/VS Code
  • Markup/Design: LaTeX, Markdown/R Markdown, HTML/XML/XAML, CSS/SCSS/Bootstrap/Tailwind, UML, YAML, AImarkdown, Figma/Canva
  • Prototyping: Python, Lua, Ruby, Bash, PowerShell/Batch, Elixir, Perl/Raku, OCaml, Nim, Crystal, Zig, Haxe, Boo, Tcl, Wren, Mojo
  • Scientific Computing: R, Julia, Jupyter, MATLAB/Octave, Fortran, GAMS, Nextflow, Watson Studio, SPSS, Colab, Kaggle, SageMaker, Zeppelin, WandB, Deepnote
  • .NET: C#, F#, Visual basic/VBA, Q#, ML.NET, LINQ, WFA/WFP/Blend
  • General Purpose: Java, Scala, Kotlin, Go, Rust, D, Common Lisp/Racket/Hy, Groovy, Clojure, Swift, Dart, V, Vala
  • Low-Level: C, C++, Arduino, Assembly (x86/64, MIPS, NASM, FASM), Verilog/VHDL
  • Database and Query Systems: MySQL/MariaDB, PostgreSQL, Redis, MongoDB, SQLite, MindsDB, DuckDB, Snowflake, Neo4j, Firebase, Spark, Hadoop, Cassandra, JSON, REST/Postman/Insomnia, GraphQL
  • Game Development: Godot/GDScript, Game Maker/GML, Unity, OpenGL/GLSL, SDL/PyGame/LÖVE, Processing, SuperCollider, ChucK
  • Web Development: JavaScript/jQuery/AJAX, TypeScript, Node, CoffeeScript, PHP/Laravel, ASP.NET/Razor/Blazor, WASM, Ruby on Rails, Flask/Django/FastAPI, Apache, Nginx, Angular, React, WordPress
  • App Development: Xamarin, MAUI, Flutter, Flet, Android Studio
  • Software Engineering/DevOps: Linux, Docker, GitHub Actions, Kubernetes, Terraform, Jenkins, Ansible, Selenium, Jira, AWS, Google Cloud, Slack, Trello, DigitalOcean, Azure, Gradle, Maven

I've also contributed to the upcoming programming language Carbon!

   



Pinned

  1. Choral-GTN Choral-GTN Public

    Doctoral dissertation project - a hybrid Neural Network system and dataset for compositionally realistic choral music generation (Generative Transformer Network).

    Python 1

  2. Form-NN Form-NN Public

    Master thesis project - a hybrid Neural Network-Decision Tree system and dataset for classical music form recognition and analysis.

    Python 8

  3. Chunk-List Chunk-List Public

    A Chunk List is a new, concurrent, chunk-based data structure that is easily modifiable and allows for fast run-time operations.

    C# 5 2

  4. Sung-EmotioNN-Detector Sung-EmotioNN-Detector Public

    A convolutional neural network trained to classify emotions in singing voices.

    Python 1

  5. OLAP-Cube-Visualizer OLAP-Cube-Visualizer Public

    This repository contains multiple variants of this project; the primary algorithm allows for data cube operations to be performed using lightweight functions with ease of usability to provide speed…

    C# 1 1

  6. ProteiNN-Structure-Predictor ProteiNN-Structure-Predictor Public

    A transformer network trained to predict end-to-end single sequence protein structure as a set of angles given amino acid sequences.

    Python 2