Pronounced GAH-zah-leh
Hi, I'm Ghazaleh.
I work at the intersection of machine learning, biomedical data, and computational neuroscience, building practical systems that turn complex physiological signals into useful clinical and research insight.
What I Focus On
My work centers on scalable AI systems for healthcare and biotechnology, especially projects involving neuroimaging, EEG, and multimodal biomedical datasets. I care about combining strong modeling with careful data handling, so the resulting tools are both scientifically meaningful and operationally useful.
Since 2021, I have worked closely with neurodiagnostic signals and research workflows that span both software and hardware. A lot of my recent effort has gone into algorithm development, model evaluation, and harmonizing datasets so they can support better analysis and more reliable downstream learning.
Areas of Interest
- Machine learning for healthcare and life sciences
- Computational neuroscience and neurotechnology
- Statistical analysis of complex biomedical datasets
- Signal processing for EEG and neuroimaging workflows
- Dataset harmonization and integration
- Research systems that balance rigor with usability
How I Work
I enjoy projects that need both technical depth and careful translation between domains. That usually means collaborating across research, engineering, and health contexts to build solutions that are interpretable, reproducible, and genuinely helpful to the people using them.
I'm especially motivated by work that can improve clinical understanding, support more personalized care, or make advanced analysis more accessible to research teams.
Let's Connect
If you'd like to reach out without publishing your email address, send me a message here. I'm open to collaborations, research conversations, and thoughtful project opportunities.