Samra Hassan

Skills

Skilled in Python and MATLAB for data analysis and computational modeling, with strong expertise in numerical analysis, statistical methods, and EEG signal processing, including preprocessing and feature extraction. Experienced in research design, academic writing, and publishing scientific work, with a focus on neurological data analysis using EEG and now learning MRI (BrainSpan gene expression data). Demonstrates strong teaching abilities through university-level mathematics instruction and conducting Numerical Analysis lab sessions, with the ability to simplify complex concepts for diverse learners. Possesses leadership and organizational skills, including coordinating workshops and academic events, along with effective time management and teamwork. Additionally, proficient in English communication and SEO content writing, with strong presentation and analytical skills.

About

I hold a Bachelor’s degree in Mathematics and a Master’s degree in Artificial Intelligence, with a strong interdisciplinary focus on applying mathematical and computational methods to neuroscience and medical data analysis.

During my academic journey, I completed an internship under a professor where I assisted in teaching Numerical Analysis and conducted computer lab sessions for Numerical Analysis II. This experience strengthened my understanding of advanced mathematical concepts, including numerical methods and optimization techniques, and enhanced my ability to apply them in practical and computational contexts. Additionally, I developed strong organizational and leadership skills by assisting in the coordination of academic activities, leading workshops, and maintaining student records efficiently, demonstrating my ability to manage responsibilities in structured academic environments.

Currently, I work as a mathematics tutor, teaching students across various levels, including university courses. This has further developed my analytical thinking, problem-solving skills, and ability to communicate complex mathematical ideas effectively.

My research interests lie in the application of mathematics and artificial intelligence to neurological data. I have worked on EEG-based research focused on epileptic seizure detection, where I performed signal preprocessing and applied statistical feature extraction methods such as mean and variance to analyze brain activity patterns. In addition, I am exploring MRI-based BrainSpan gene expression data to study early developmental changes associated with Autism Spectrum Disorder.

I have contributed to research publications in the field of neurological disorder analysis, reflecting my ability to integrate mathematical modeling, data analysis, and machine learning approaches. I am particularly interested in roles and research opportunities that involve advanced mathematical modeling, optimization, and data-driven analysis in neuroscience and related domains.

I am seeking opportunities where I can apply my background in mathematics and artificial intelligence to solve complex, real-world problems, particularly in the areas of healthcare, neuroscience, and data science.