Atlas

B.E. Biomedical Engineering · The City College of New York · expected May 2028

I'm a biomedical engineering student at The City College of New York, moving toward computational neuroscience and neural imaging. My footing is engineering physics, circuits, and mechanics. I now apply it to MRI-based biomarker research and machine-learning analysis of brain data as a research assistant in the ZVR Lab at the University of Rochester, and to head modeling and electric-field simulation in the Bikson Lab at CCNY.

I'm comfortable across theory, Python data pipelines, and statistical inference, and I want to develop machine-learning and deep-learning methods for fMRI and brain-signal decoding. Outside research I train in combat martial arts.

Research interests

Areas I'm exploring, not areas of expertise.

• Neuroengineering Head modeling and electric-field simulation in the Bikson Lab.
• Neuromodulation Stimulation-electrode placement and field modeling.
• MRI imaging Structural MRI pipelines in the ZVR Lab, and my own scan.
• Machine learning and deep learning for brain data Classification in the ZVR Lab; EEG decoding in NeuroForge.

Skills

Programming and data

Python (NumPy, pandas, scikit-learn), MATLAB, Excel, Google Colab

Neuroimaging and signals

Structural MRI volumetrics, FreeSurfer, EEG, MNE-Python, MOABB, preprocessing and filtering

Statistics

ANCOVA, FDR and multiple-comparison correction, ROC/AUC, DeLong tests, effect sizes (Cohen's d, partial η²)

ML and methods

Classification (LDA, CSP), Riemannian geometry (pyRiemann), CNNs (EEGNet), cross-validation

Engineering

Circuit analysis, CAD (SolidWorks), COMSOL Multiphysics (FEA), Simpleware, oscilloscope and multimeter, fluids and material mechanics

Honors and affiliations

• NEUROCITY Summer Scholar, University of Rochester (2026)
• Dean's List, CCNY
• Member, Biomedical Engineering Society (BMES)
• In progress: Machine Learning Specialization (DeepLearning.AI)

Atlas of my cortex

Desikan-Killiany (FreeSurfer aparc), 34 regions per hemisphere, colored with the FreeSurfer lookup table. Select a region on the brain or in the list. Descriptions use cautious "involved in" wording; brain regions work in networks, not alone. For the deep structures, open Explore.