Computational Neuroscience & Machine Learning Researcher
Building systems that probe how intelligence emerges — in biological and artificial networks.
I bring a dual foundation in Biochemistry and Software Engineering to the study of neural computation. This background lets me move fluidly between biological constraints and scalable machine learning systems.
Research focus
- Spiking Neural Networks (SNNs) and neuromorphic models
- Geometry of spatial navigation representations (grid/place cell dynamics)
- Neural signal processing (EEG/fMRI) and brain aging trajectories
- Multimodal fusion and robust perception under sensor failure
Leadership & community
- Data Science Mentor @ DataraFlow
- Virtual Coordinator @ Women in Neuroscience Nigeria
- Creator & Writer @ Research As Stories
Mission
I build research-grade computational models at the intersection of biological neural systems and machine learning, with the goal of advancing both scientific understanding and practical neuro-inspired AI. Currently preparing for an MSc in Computational Neuroscience.
| Domain | Technologies |
|---|---|
| Languages | Python, SQL, JavaScript, Java, C++, TypeScript |
| Neuro & ML | PyTorch, snnTorch, Brian2, MNE-Python, TensorFlow, Scikit-learn |
| Data & Signals | NumPy, Pandas, SciPy, Matplotlib, Seaborn |
| Computer Vision | OpenCV, YOLOv8, MediaPipe, Grad-CAM |
| Web & Deploy | FastAPI, Streamlit, Gradio, React/Vite, HTML/CSS |
| Creative & Hardware | Blender, Arduino, Raspberry Pi |
- Embodied Morphological Navigation (EM-NAV) — SNN agent in a 3D Blender environment studying emergent spatial representations and grid/place cell dynamics.
- Brain Aging Modeling — Computational and statistical modeling of structural and functional neural markers across aging trajectories.
- Neuro-Fatigue Prediction — Cognitive fatigue detection from raw EEG using 1D-CNNs and MNE-Python.
- Multimodal Emotion Recognition (Emotiwave) — Cross-modal attention and robust fusion under sensor failure (Preprint).
- Computer Vision Projects — Object detection, semantic segmentation, and medical imaging pipelines.
- Machine Learning Projects — Predictive modeling, tabular pipelines, and classical ML benchmarks.
- Data Projects — Exploratory analysis, ETL workflows, and dashboards.
Also active on Kaggle.
- Other Projects (Web & Python) — Full-stack prototypes, agent workflows, and standalone systems.
- LeetCode Solutions — Algorithmic problem-solving in Python & Java.
- African Brain Data Network (ABDN) — Fellow / Researcher working with neuroimaging datasets and neuroinformatics across African cohorts.
- Neuromatch Academy — Computational Neuroscience (Interactive Track: fMRI & neural dynamics).
- SPARK-CAMIRA — Medical imaging AI fellow in partnership with CAMERA MRI Africa.
- DataraFlow — Valedictorian graduate in Data Science; now serving as program mentor.
- NIIT — Software engineering core coursework.
- Substack — Research As Stories: Translating complex computational neuroscience papers into accessible narratives.
- Medium — Technical articles: Deep dives into neuroscience phenomena, neuropsychology cases (e.g., Alien Hand Syndrome), and brain dynamics.
- Hashnode — NerdyAlgorithm: Applied data science tutorials and engineering guides.
- Telegram — Neuroscience Resources: Curated papers, tools, and learning roadmaps for aspiring neuroscientists.
