About Me
Hello! Welcome to my personal portfolio!
I am Neda (pronounced "Neh-dah"), a PhD Candidate in the Biomedical Engineering Department at Vanderbilt University.
My research focuses on Systems Neuroscience, Computational Modeling of the Human Brain, and Machine Learning applications for advanced analysis of Biosignals, Genomics, and Neuroimaging.
I have experience in integrating Multiscale and Multimodal Data to develop data-driven pipelines that systematically reveal the complex organization of the Human Brain.
I am committed to ensuring transparency and clarity in AI-driven decisions by using statistical and machine learning models to deliver robust and interpretable insights.
I am passionate about Healthcare AI, the Human Brain Connectome, Biosignal Pattern Recognition, and applying Machine Learning algorithms to real-world problems.
I love working in dynamic, interdisciplinary teams where I can continuously learn and make impactful contributions...
Education
Vanderbilt University Nashville, TN
Ph.D. Candidate in Biomedical Engineering
Research focus: Systems/Network Neuroscience, Machine Learning, Connectomes in Rubinov Lab
2021 – 2025 (expected)
K. N. Toosi University of Technology Tehran, Iran
M.Sc. in Biomedical Engineering, Bioelectronics
Member of Machine Vision and Medical Image Processing Lab
2016 – 2020
Shiraz University Shiraz, Iran
B.Sc. in Electrical Engineering, Electronics
2012 – 2016
Projects
Transcriptomic and Cellular Basis of Brain Network Individuality
PhD Project | Ongoing
- Multimodal data integration: Structural MRI, fMRI, Diffusional MRI, Gene-expression
- Developed data-driven analytical pipelines
- Applied explainable Machine Learning for brain network exploration
- Implemented statistical validation techniques
GeneExpression and Neuroimaging Integration
PLOS Biology, September 2024 | Project Period: 2021 - 2024
- Automated data curation, time-series processing, and feature extraction
- Developed framework for brain region-specific data exploration
Visual System Dysfunction in Multiple Sclerosis (MS) Patients
BioRxiv, September 2022 | Project Period: 2018 - 2020
- Designed imaging protocols and visual tasks
- Performed data curation, preprocessing, and analysis
- Identified functional impairment in visual pathways of MS patients
Unsupervised ECG Analysis, Segmentation, and Abnormality Detection
- Optimized preprocessing pipeline for classification of healthy vs. diseased groups
Related Publications | Project Period: 2021 - 2024
Skills
- Programming Languages: Python, Matlab, Linux/Bash Scripting, SQL, C++
- Tools: Git, Jupyter notebooks, Visual Studio, PyCharm, FreeSurfer, FSL, Genomics Toolbox (GCTA)
- Libraries and Frameworks: Pandas, NumPy, Matplotlib, Scikit-learn, Keras, PyTorch
Resume
You can download my resume as a PDF by clicking the link below:
Download My ResumeContact
You can reach me at:
- Email: neda.sardaripour@gmail.com
- Email: neda.sardaripour@vanderbilt.edu
- Office: Biomedical Engineering Department, 5807 Stevenson Center, Vanderbilt University
- Lab Website: Rubinov Lab