Here are a selection of projects that I have worked on over the years.
JULIA Implementation of the R eco-evolutionary engine Gen3sis JULIA implementation allows technical but also conceptual improvement of the R Engine. The new implementation is more modular and optimize in-cell actions. Therefore, there is no core function that force hypotheses like time speciation, dispersion without modification of abundance. The preliminary results show runs 5 times faster, similar RAM needs but a better usage and less computation issue for server usage.
R Shiny to extract feature from PubChem. This shiny app aims to help chemist to extract features of interest from PubChem which do not provide API. This app uses webscrapping to extract features which are then compiled in a easy-to-handle dataframe. The code is publicly available on GitHub : https://github.com/remylegoff/Chem_Quest The app is available here
Python Shiny for machine learning data analysis using point and click and guided decision ChimStat is a powerful app to perform data analysis from mass spectrum analysis (developed using HPLC results). It allows categorical classification with fine-tuning, model validation and evaluation using different metrics. A list of different types of models are available and allows a variety of adaptation to data and research questions. A pre step of dimensionality reduction is also available to take large data into account. A demo version is available https://remylegoff-chimstat.share.connect.posit.cloud/
