Education and Training in Data Science

Over the past few years, I have actively trained human resources in Data Science and Bioinformatics, with a strong emphasis on bridging theory, practice, and real-world applications in data-driven research. This work has taken shape primarily through educational projects developed within the Data Science courses offered at Ilum School of Science (Brazilian Center for Research in Energy and Materials)

Protein Structure Explorer


The purpose of this platform is to perform three-dimensional modeling of a protein based on amino acid sequences provided by the user, using artificial intelligence.

Github: https://github.com/ThallesCansi/ProteinStructureExplorer 

Espectroscolors

Data Visualization for Absorbance Analysis in Electronic Spectroscopy.

Github: https://github.com/Lorena881/PCD_Analise_Espectroscopia

Automation and Graphical Analysis of the Rayleigh Scattering Experiment

The code performs color measurements using a sensor connected to an Arduino to investigate the Rayleigh effect.

Github: https://github.com/JVictor1604/Automa-o-do-experimento-Rayleight/tree/main

AbsorGraph

This project aims to create a code that allows the user to input a data file containing Absorbance versus Wavelength values and receive a plot of their data, along with several optional analyses. These include Gaussian deconvolution, peak detection, and calculation of the area under the curve.

Github: https://github.com/Caiomld/AbsorGraph

Kinematics Calculator

This project includes functions that perform calculations using kinematic and dynamic formulas, as well as generate plots related to these areas of physics. Due to the program's level of depth and accessibility, it is primarily intended for high school students.

Github: https://github.com/vitordreveck-ilum/PCD_Calculadora_Fisica

Data Rain

The program generates different types of graphs depending on the parameters analyzed, such as temperature, rainfall, solar radiation, relative humidity, and wind direction and intensity.'

Github: https://github.com/romulorcruz/Projeto_PCD_Climogramas

Elastic Collision Simulator

The purpose of this project was to simulate a one-dimensional system of elastic collisions between two blocks and a wall, using graphs and animations to analyze trajectories, count collisions, and explore how specific mass ratios can produce a number of collisions corresponding to the digits of Ļ€.

Github: https://github.com/AnielNeto/Trabalho_Final_PCD  

SIR Epidemiological Modeling and Extensions

This repository contained the source code and an interactive interface for our epidemiological modeling project, developed as a data science practice to explore infectious disease dynamics using SIR models and their extensions.

Github: https://github.com/mateusjmd/Modelo-SIR

Plasmid Computer Decoder

The PCD (Plasmid Computer Decoder) project was developed as the final assignment for the Data Science Practice course by students from Ilum ā€“ School of Science. The tool receives a plasmid DNA or RNA sequence provided by the user or uploaded via a .txt or .FASTA file, enabling several analyses to be performed on the sequence.

Github: https://github.com/ComicDeath/Projeto-Final-PCD

Natural Selection Simulation 

This project developed a Python-based computational simulation of natural selection that models a population with two heritable traits: speed and coat color. Individuals faced different environmental pressures, such as snow and forest environments, which affected their survival and reproduction across generations. The simulation applies simplified rules of inheritance and natural selection and generates graphical outputs to visualize changes in average population speed and coat-color distribution over time.

Github: https://github.com/Maria-Clara-CosFerreira/Projeto-PCD

Computational Tools for Chemistry Education

This project developed Python-based computational tools to support learning fundamental chemistry concepts through interactive exercises. It includes a periodic table memorization game, a chemical formula parser, and two automatic equation balancers based on exhaustive search and linear algebra. The project also formats chemical equations and supports formulas with parentheses and brackets, combining programming, chemistry, and mathematical modeling.

Github: https://github.com/jessikanobrega-418/Projeto_final_PCD

Neuron Gradient Simulation (SiGraNe)

This project developed a Python-based computational simulation of neurons to investigate ion flow, neuronal behavior in larger networks, and signal reconstruction. The project includes simulations of an isolated neuron and its ion channels, synthetic electroencephalogram (EEG) generation, and signal decomposition and reconstruction using Fast Fourier Transform (FFT), providing computational tools for exploring neural dynamics and signal processing.

Github: https://github.com/ViniCutolo/neuron-gradient-model

Simulating Life with Particles

This project developed a Python-based particle simulation to explore how complex behavior emerges from simple interaction rules. Inspired by models of self-organizing particle systems, the simulation represents distinct particle species with defined interactions, generating dynamic structures that resemble patterns observed in biological systems. A didactic Jupyter Notebook guides the model's development and theoretical basis, alongside a Python implementation of the final simulation.

Github: https://github.com/FipaLipe/simulando_vida_com_particulas

Ideal Gas Lab

This project developed an interactive virtual laboratory in Python and Pygame to explore the kinetic theory of gases through a two-dimensional simulation of particles and their elastic collisions. The simulator allows users to control temperature and particle number, calculate temperature from average kinetic energy, visualize particle velocities through color, and analyze velocity distributions with histograms, providing an intuitive introduction to Maxwell-Boltzmann statistics and thermal equilibrium.

Github: https://github.com/matheuslmds/Ideal_gas_lab

Thermodynamic Transformation Calculator for Ideal Gases

This project developed a Python-based calculator to analyze thermodynamic transformations in a monoatomic ideal gas, computing heat, work, internal energy, entropy changes, and cycle efficiency while generating Pā€“V diagrams from user-provided pressure, volume, and temperature data.

Github: https://github.com/marip864/CTUP

Computing Viral Genetic Similarity

This project was developed for the Data Science Practice course during the first semester of 2025 in the Science and Technology program at Ilum ā€“ School of Science. The program applies Python tools such as matrices, string processing, and graphical visualization to compare similarities and differences among viral genomes, aiming to automate genomic analyses of arboviruses and support studies of their evolution, variants, and epidemiological dynamics.

Github: https://github.com/Luiza160/Projeto-PCD