https://github.com/dmitriz/dmitriz
https://github.com/dmitriz/dmitriz
Last synced: about 1 year ago
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- Host: GitHub
- URL: https://github.com/dmitriz/dmitriz
- Owner: dmitriz
- Created: 2024-11-10T16:44:18.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-10T17:33:20.000Z (over 1 year ago)
- Last Synced: 2025-01-25T21:27:14.623Z (over 1 year ago)
- Size: 4.88 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Dmitri Zaitsev - Professor of Mathematics at Trinity College Dublin
- 📫 Email: zaitsev@maths.tcd.ie
- Website: [Trinity College Dublin Profile](http://www.maths.tcd.ie/~zaitsev/)
- StackOverflow: [Dmitri Zaitsev](https://stackoverflow.com/users/1614973/dmitri-zaitsev)
## About Me
I am a Professor of Mathematics at Trinity College Dublin and a passionate programming enthusiast and an advocate for Open Scholarship. My work spans the realms of pure mathematics, innovative software design, and empowering others through education and mentorship.
## Academic Career
I joined the School of Mathematics at Trinity College Dublin in 2003. I've authored nearly 70 publications in top-ranked journals and collaborated with researchers from over 10 countries 👯.
## Software
I have authored the libraries:
- *[cpsfy](https://github.com/dmitriz/cpsfy)* -- **functionally composable data flow management tools** based on Continuation-Passing-Style functions, backed by category theory foundations;
- *[un](https://github.com/dmitriz/un)* -- **unframework for universal uncomponents** -- pure, framework-agnostic functions that encapsulate UI components, promoting modularity, testability, and reusability.
## Passions
- **Empowering Others:** Helping people unlock their full potential and achieve their goals
- **Impactful Projects:** Contributing to meaningful endeavors that leave a positive mark
- **Lifelong Learning:** Continuously seeking new knowledge, especially in areas demanding rigorous mathematical logic and advanced algorithms
- **Code Craftsmanship:** Building maintainable, efficient software solutions that adhere to best practices
- **Automation:** Streamlining repetitive tasks to improve efficiency
- **Functional Programming:** Utilizing functional programming paradigms for elegant and predictable code
- **Stream-Based Architecture:** Building applications leveraging the power of stream-based processing
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> Mathematics is not about numbers, equations, computations, or algorithms: it is about understanding.
>
> — William Paul Thurston