Moneera Alsuwailm

Data Scientist with a Master’s in Bioinformatics from Johns Hopkins University. Expertise lies in machine learning, genomics and natural language processing, leading to significant contributions in data science-led research, including publications in Nature, Genes and Journal of Neurochemistry.

Scientific Large Language Model Evaluation

SciQAEval evaluates the performance of machine learning against scientific publications. It analy...

Neural Tactics and AI Theory

This project delves into the realm of data science and artificial intelligence to tackle the stra...

Hash Analytics: Data Structure Efficiency

Exploring the efficient use of hashing in data science, this project examines pivotal tools for d...

Optimizing Genomic Analysis with Dynamic Programming

Employing the Longest Common Subsequence (LCS) algorithm with a dynamic programming approach. Foc...

Deciphering Genomic Diversity: A Data-Driven Approach

Analyzing genomic data across multiple species, this study delves into genome sizes, chromosome s...

Insights into Gene Expression Clustering with AI

The study focuses on analyzing gene expression data through advanced statistical and machine lear...