Filima Patrick

FILIMA PATRICK

Neuroscientist & Developer

About Me

Professional Overview

Patrick Filima is a unique blend of a Neuroscientist and Software Developer, holding an M.Sc. in Neuroscience while working as a Lead Developer at African Brain Data Network. His passion lies in bridging the gap between neuroscience research and technology, developing innovative solutions that advance our understanding of the brain and make scientific tools more accessible to researchers.

With over 3 years of experience in software development and neuroimaging research, Patrick specializes in building web and mobile applications using modern technologies. His focus areas include React.js, Next.js, and React Native, complemented by a deep understanding of neuroscience and brain imaging analysis.

Port Harcourt, Nigeria

Areas of Focus

Neuroscience Research

Specializing in advanced brain imaging analysis, focusing on neurodegenerative diseases and structural brain changes. My research contributes to understanding brain disorders and developing better diagnostic tools.

Software Development

Creating modern web and mobile applications using cutting-edge technologies. I specialize in building research tools and applications that bridge the gap between scientific research and practical applications.

Career Highlights

Academic Excellence

Completed M.Sc. in Neuroscience, contributing to groundbreaking research in brain imaging analysis and neurodegenerative diseases.

Research Impact

Published peer-reviewed papers in prestigious journals, focusing on brain structure analysis and innovative neuroimaging techniques.

Technical Innovation

Building modern web applications and exploring the development of research tools, combining expertise in neuroscience with software development to create solutions that enhance research capabilities.

Vision & Goals

My goal is to continue pushing the boundaries of neuroscience research through technological innovation. I am passionate about developing tools and applications that make complex neuroimaging analysis more accessible and efficient, while contributing to our understanding of the human brain.