- Biomedical engineer experienced in algorithm design and large-scale data analysis across various modalities, with a strong ability to abstract complex problems and select suitable computational modeling strategies.
- Experienced in system-level design, pipeline planning, and integrating tools across multi-modal data streams.
- Developed pipelines for motor control, image processing, statistical modeling, and signal analysis (physiological and fluid-based) using MATLAB and Python.
- M.S. Biomedical Engineering, The George Washington University (2024)
- B.S. Biomedical Engineering, University of Rhode Island (2022)
- Current Role: Biomedical Data Engineer (Research Technician) at Children's National Medical Center (CNMC)
Languages: Python, MATLAB, R
Frameworks & Libraries: PyTorch, NumPy, Pandas, SciPy, OpenCV, scikit-learn, Matplotlib, Bioconductor (R)
Signal & Image Processing: STFT, FIR/IIR Filtering, Artifact Removal, Feature Extraction (SIFT/ORB), Wavelet/Fourier Analysis
Machine Learning & Optimization: Vision Transformers, PCA, Clustering (DBSCAN, K-Means), Hyperparameter Tuning (Optuna), Cross-validation (K-Fold, LOO)
Workflow Tools: Git, Jupyter, VS Code, Anaconda, Spyder
Systems & Workflow Design: Modular pipelines, dataset scaling, automation, toolchain integration
- Designed and deployed a full EEG classification pipeline using MATLAB and Python, integrating STFT-based Feature Extraction and Vision Transformer-based deep learning.
- Designed and delivered a scalable solution for multi-subject EEG analysis across large pediatric datasets in MATLAB. Currently implementing multiprocessing to speed up spectrogram-creation for about 150 pediatric patients.
- Built a modular object-oriented Python framework to move and copy files using the shutil library, fine-tune and validate Vision Transformer models for pediatric delirium prediction, incorporating Youden’s J statistic, Leave-One-Out, and K-Fold cross-validation for patient-specific models.
- Optimized the deep learning frameworks for efficient parallelization for fold-wise GPU training. Delirium EEG Repository
- Owned the design and implementation of a Python-based imaging automation system for the Olympus BX-63 microscope.
- Integrated Pycro-Manager with Micro-Manager 2.0 and servo-controlled stage movement to replace commercial stitching tools, significantly reducing lab costs by $15K.
- Building an SIFT/ORB stitching pipeline and regularized least-squares alignment; applied Optuna multi-objective HPO + K-fold CV with Pareto/inter-fold analysis to a dataset-aware auto-tuner for new datasets. 1. Hardware Repository 2. Stitching Algorithm Repository
- Led algorithm design for a novel fluid-based system for continuous blood pressure monitoring, driving research, and implementation to define key physiological parameters.
- Owned the design and deployment of signal processing and data-driven algorithms, including FIR/IIR & Notch Filtering, Oscillogram Generation, and Envelope-based Visualization
- Helped with developing and debugging the code for efficient data acquisition (Arduino) by implementing validation statements and editing faulty code.
BPP Repository
- Teaching Assistant, Introductory Genetics (GWU, Fall 2023)
- Assisted Dr. Julia Omotade with course instruction and mentoring.
- Awarded a paid fellowship for academic excellence.
- Statistical Analysis of Genome-Scale Data Science – Cold Spring Harbor Laboratory
- PyTorch, Deep Learning, and C++ Courses – Coursera (in progress)
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Breaking down complex problems & system design
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Requirements → modules:
- Turn problem statements into a module maps (data loaders, preprocessing, model/train loops, evaluation, logging) for architecture exploration. -
Architecture exploration:
- Compare design options (e.g., LOOCV vs K-Fold, single vs multi-objective HPO, patient- vs electrode-level analysis) - Draft pros/cons before implementation. - Produce stepwise build plans (prep → train → validate → analyze) to keep work scoped and reproducible.
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Speeding up development
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Refinement
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Speed
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Refactoring
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Robustness
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Aid with documentation