This is my official website (est. 2022). I am a scientist and a full-stack software developer with many years of experience in both science and software development. While going through school to become a pharmaceutical scientist, I spent my spare time learning how to write programming codes. As a scientist, I am skilled in various aspects of PK/PD and PB/PK modeling. Take a look at my complete scientific CV. As a freelance software developer, I have designed and created (for clients and myself) a lot of apps in various disciplines. I have recently taken offline many of my personal web projects due to maintenance costs. I am experienced in languages such as JavaScript, Java, PHP, SQL, CSS, R, C++ and more. I like teaching myself how to code in these languages, especially the ones with associated frameworks to expedite the coding process. Take a look at my GitHub link above. At the moment, I am learning Python, Rust and VueJs in my spare time. Really cool stuff.
I created, own and maintain a number of (still active) websites including rpkg.net, shinyappstore.com, coursewhiz.org.
Work as a scientist in pharmacometrics supporting various therapeutic areas
Worked primarily as a scientist in PK/PD analysis
Worked as both a scientist in PK/PD analysis as well as a software engineer helping develop in-house software to help automate various pharmcometric processes.
Research focused in understanding the effect of bias in bioanalytical method development for large-molecule drug candidates.
Research focused in development of WNT/Beta catenin pathway inhibitors.
Major research focused in pharmacokinetics of a date-rape drug.
Fulfilled double major degree requirements in Pharmcology & Toxicology and Pharmaceutical Sciences
Completed major course work and requirements as a science student
Looking to collaborate on an interesting project, I am available. But obviously it should be non-science stuff and more open source related.
Websites that I developed and currently maintain
The leading platform for a wide range of Shiny applications developed with the shiny R package. Features well-designed apps with detailed descriptions and evaluations by users.