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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Unveiling Insights: A Beginner’s Guide to Exploratory Data Analysis (EDA)
Published:
A beginner-friendly guide to Exploratory Data Analysis (EDA), including visualization, missing values, and pattern discovery.
Introduction to The Numerical Solution of IVP for ODE
Published:
An introduction to numerical methods for solving Initial Value Problems (IVPs) in Ordinary Differential Equations (ODEs).
Numerically Solving Systems of Ordinary Differential Equations (1st Order ODEs)
Published:
A beginner-friendly introduction to numerically solving systems of first-order Ordinary Differential Equations (ODEs).
Ordinary Differential Equation (ODE) by Python
Published:
Ordinary Differential Equation (ODE) by Python
portfolio
Metagenomic Identification and Variant Analysis of a Viral Genome
Developed a viral genome analysis pipeline on a High-Performance Computing (HPC) cluster to identify a mystery virus from Nanopore sequencing data.
Subfamily Classification and Functional Analysis of CAZy Family GH5
Developed a bioinformatics workflow for classification and functional characterization of the CAZy GH5 glycoside hydrolase family using sequence analysis, network biology, and phylogenetics.
Mathematical Modeling of Cell Signalling Pathways in Cancer
Developed a mathematical and computational framework to investigate intracellular apoptosis signalling pathways using differential equation modeling, numerical simulations, and stability analysis.
Numerical Simulations for 1D and 2D Mass-Spring Models
Developed numerical simulation models for one-dimensional and two-dimensional mass-spring systems using Lagrangian mechanics and Runge-Kutta numerical methods to analyze vibration dynamics and computational efficiency.
Brain Tumor Segmentation Using Convolutional Neural Networks
Developed a deep learning framework for low-grade glioma brain tumor segmentation and tumor area calculation from MRI images using Convolutional Neural Networks (CNNs).
Mathematical Modeling of CD4+ and Cytokine Interactions in Tumor Growth
Developed mathematical and computational models to investigate the interactions between CD4+ immune cells, cytokines, and tumor growth using numerical simulations and cancer immunotherapy analysis.
publications
talks
An Artificial Intelligence Approach of Feature Engineering and Ensemble Methods Depicts the Rumen Microbiome Contribution to Feed Efficiency in Dairy Cows
Published:
Presented a seminar on the application of artificial intelligence, feature engineering, and ensemble machine learning methods to investigate the relationship between the rumen microbiome and feed efficiency in dairy cows.
Personalised Nutrition through Prediction of Individual Glycemic Responses
Published:
In nutrition and health studies, it is becoming increasingly important to understand how individuals respond differently to food. Traditional dietary recommendations are usually based on general guidelines such as reducing calories or carbohydrates. However, recent studies show that these recommendations may not work equally well for everyone.
teaching
Graduate Research Assistant
Research and Technical Experience, University of Nebraska-Lincoln, 2025
Worked as a Graduate Research Assistant in Animal Science at the University of Nebraska-Lincoln, focusing on microbiome, metagenomics, and bioinformatics research.