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index.qmd
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```{=html}
<div class="column-margin">
<img src="/images/logo/512-20240628_beige-tufte_derecksprojects-logo.png" alt="Dereck's Projects Consulting" style="width:100%">
</div>
```
# Welcome
I began programming at age 15 and have since developed professional expertise in software and data engineering. My formal education includes an MSc of Bioinformatics in Systems & Synthetic Biology. This combination of long-term programming experience and scientific training enables effective work at the intersection of life sciences and advanced computing.
As an American raised in France, I possess native fluency in English, French, and Spanish, with additional fluency in Italian and Russian. This linguistic capability facilitates work in international scientific contexts. My professional focus includes high-performance computing, data infrastructure development, and scientific software creation. I specialize in transforming complex scientific and financial problems into data-driven solutions.
[Consulting/Contract work](/pages/consulting.qmd)
## Showcase
### [Dereck's Notes](https://www.derecksnotes.com){target="_blank"}
::: {.content-visible when-format="html"}
[![derecksnotes.com](/images/portfolio/derecksnotes.png){.column-margin #fig-cover}](https://www.derecksnotes.com){target="_blank"}
:::
Dereck's Notes[^1] began in 2017 as a personal project, an attempt to integrate and condense everything I had learned in university. I have always been a prolific note taker, and I wanted to create a platform to share my knowledge with others. The project has since evolved into a knowledge distribution platform, scientific dictionary, scientific journal, and blog.
Early versions were in PHP, version 4.0 of the project demonstrates a dern technical stack to integrate advanced features and improve maintainability. I strongly focused one a polished frontend and backend, as well as strong DevOps + CI/CD.
Key technical aspects:
- Frontend: Next.js 14 (app dir), React, TypeScript, MDX
- Backend: Express, Mongoose, Redis
- Infrastructure: Nginx, Linode, MongoDB, Redis
- CI/CD: GitHub Actions, Docker
Notable features:
- User account functionality
- Interactive commenting system
- Blog post filtering
- Dictionary search functionality
[^1]: [Dereck's Notes GitHub Repo](https://github.com/derecksprojects/derecksnotes.com){target="_blank"}
### [dmplot](https://dereckmezquita.github.io/dmplot){target="_blank"}
::: {.content-visible when-format="html"}
[![dmplot](/images/portfolio/512-20240628_dmplot-logo.png){.column-margin}](https://dereckmezquita.github.io/dmplot){target="_blank"}
:::
My interest in algorithmic trading and financial data analysis originated during my Master's degree. This academic pursuit led to a personal project: developing an algorithmic trading bot. From this, the `dmplot`[^2] [^3] package emerged as a comprehensive R framework for financial and time series data analysis.
The `dmplot` package addresses the need for efficient processing and analysis of large financial datasets. It achieves this by combining high-performance C++ implementations with `ggplot2` for data visualisation. Key features include:
- High-performance C++ implementations of financial indicators (e.g., Bollinger Bands, EMA, MACD)
- Custom `ggplot2` stats for financial data visualisation (e.g., candlesticks, Bollinger Bands)
- Monte Carlo simulation implemented in high-performance C++
Developing `dmplot` significantly enhanced my skills in financial data analysis and visualisation, R package development, and C++ integration.
[^2]: [dmplot GitHub Repo](https://github.com/derecksprojects/dmplot){target="_blank"}
[^3]: [dmplot documentation](https://dereckmezquita.github.io/dmplot){target="_blank"}
## Research and Publications
My scientific research focuses on applying bioinformatics, statistics, and high-performance computing to address complex scientific problems. Key areas of study include rheumatoid arthritis, breast cancer, and broader investigations in genomics, metabolomics, and proteomics.
::: {.content-visible when-format="html"}
![Inference of an integrative, executable network for rheumatoid arthritis combining data-driven machine learning approaches and a state-of-the-art mechanistic disease map](/images/portfolio/jpm-11-00785-with-cover.png){.column-margin #fig-cover}
:::
*Notable publication:*
- [Metabolomic Rewiring Promotes Endocrine Therapy Resistance in Breast Cancer](https://aacrjournals.org/cancerres/article-abstract/84/2/291/733113/Metabolomic-Rewiring-Promotes-Endocrine-Therapy){target="_blank"} (Cancer Research, 2024)
- [Inference of an integrative, executable network for rheumatoid arthritis combining data-driven machine learning approaches and a state-of-the-art mechanistic disease map](https://www.mdpi.com/2075-4426/11/8/785){target="_blank"} (Journal of Personalized Medicine, 2021)
These publications exemplify my approach to leveraging computational methods for advancing understanding in life sciences. For a comprehensive list of my research contributions, please refer to my [Google Scholar profile](https://scholar.google.com/citations?user=3mWWedgAAAAJ&hl=en){target="_blank"}.
## Find me
[Consulting/Contract work](/pages/consulting.qmd)
- [derecksnotes.com](https://derecksnotes.com){target="_blank"}
- GitHub:
- [github.com/dereckmezquita](https://github.com/dereckmezquita){target="_blank"}
- [github.com/derecksprojects](https://github.com/derecksprojects){target="_blank"}
- [LinkedIn](https://www.linkedin.com/in/dereck/)
- [Google Scholar](https://scholar.google.com/citations?user=3mWWedgAAAAJ&hl=en){target="_blank"}
- [YouTube](https://youtube.com/@derecksyoutube){target="_blank"}