Biomedical Engineering Machine Learning

Omar Aguilar Jr.

Atlanta, GA ****.******@*****.*** 843-***-****

linkedin.com/in/omar-jr-aguilar github.com/omaraguilarr84 Profile

Biomedical engineering master’s student with hands-on experience in medical imaging, physiological signal analysis, and device prototyping. Proven ability to contribute to system-level development, testing, and optimization in medical technologies. Skilled in cross-functional collaboration across clinical and engineering domains.

Education

Georgia Institute of Technology, MS in Biomedical Engineering Aug 2024 - Present

• GPA: 3.85/4.0

• Coursework: ML for Biosciences, DL Medical Image Processing, Data Structures & Algorithms Clemson University, BS in Bioengineering Aug 2020 - May 2024

• GPA: 3.92/4.0

• Coursework: MATLAB (TA), Electronics, Electromagnetics, Numerical Methods, Bioinstrumentation Experience

Graduate Researcher, GT/Emory University - Atlanta, GA Nov 2024 - Present

• Developing and testing image registration algorithms for CT-based autonomous robotic navigation.

• Integrating 3D imaging and robotic control systems for guidewire manipulation in cardiovascular environments.

• Simulating and validating autonomous behavior using phantom models.

• Contributing to pipeline optimization for cardiac artery calcium scoring in photon-counting CT. Data Science Intern, Medical University of South Carolina – Charleston, SC May 2024 - Aug 2024

• Built CT/MRI preprocessing tools for surgical planning workflows.

• Developed signal acquisition software to interface with clinical hardware.

• Enhanced segmentation accuracy in diffusion MRI pipelines using FSL.

• Automated electrode signal processing, reducing data handling time by 50%. Undergraduate Research Lead, Clemson University SMART Lab – Clemson, SC Jan 2023 - May 2024

• Engineered multi-modal machine learning pipelines using EEG, ECG, and GSR data to model empathy in therapy.

• Led a team of undergrads and collaborated with clinical psychologists on experimental design.

• Prototyped end-to-end signal acquisition and analysis workflow using scikit-learn and Python. Undergraduate Researcher, MUSC Institute for Neuroscience Discovery – Charleston, SC

Jul 2023 - Nov 2023

• Analyzed ECoG data from patients undergoing tDCS and DBS therapy to study motor cortex activity.

• Conducted time-frequency and statistical analyses to identify task-related oscillations during intraoperative VR engagement.

• Collaborated with neurosurgeons and engineers on data interpretation and visualization for intraoperative decision support.

Undergraduate Research Assistant, Clemson University Laboratory of Orthopedic Engineering & Design – Clemson, SC

Sep 2021 - May 2023

• Designed and tested a novel telescopic prosthesis for transfemoral amputees, focusing on mechanical symmetry and user gait improvement.

• Conducted benchtop testing with human subjects using motion capture to quantify gait biomechanics.

• Developed and iterated mechanical designs to reduce compensatory motion in lower-limb prosthetics. Summer Research Assistant, Clemson-MUSC BEACH Program – Charleston, SC Jun 2022 - Aug 2022

• Investigated the biomechanical impact of cigarette smoke exposure on intervertebral disc (IVD) degeneration.

• Performed micro-indentation to measure tissue stiffness and permeability in IVD structures.

• Analyzed FRAP imaging and cell density data to assess nutrient diffusion and cell viability post-exposure. Publications

Spatial Dynamics and Functional Connectivity in EEG: Insights from Lexical Processing

Apr 2025

Omar Aguilar Jr., Ramon Grullon

10.1101/2025.04.29.651245

Length-Actuated Transfemoral Prosthesis Increases Hip Flexion/Extension Symmetry for Users

Oct 2023

Catherine Pitts, Reese Parr, J. Tapp Rhoads, Omar Aguilar Jr., Ge Lv, John DesJardins BMES 2023 Conference Abstract – Seattle, WA

Projects

Segmentation and Eye-tracking in Real Time Network (SERTnet) github.com/omaraguilarr84/SERTnet

Jan 2025 - Present

• Developing a semantic segmentation and gaze estimation pipeline for real-time VR headset integration.

• Designing a preprocessing module to reduce input image size by 75%, increasing processing speed by 80%.

• Modifying the RITNet architecture using average adaptive pooling and inverted residual blocks for consistent transfer learning and speed increase.

• Tools Used: Python, PyTorch

NephroGuard

news.clemson.edu/bioengineering-team-wins-national-prize-for-kidney-device Aug 2023 - Present

• Leading embedded systems development for a biosensor-based urinalysis device targeting early CSA-AKI detection.

• Designed firmware and control systems for signal acquisition from custom electrochemical biosensors.

• Incorporated machine learning for real-time biomarker detection within a Foley catheter.

• Awards: NIH DEBUT Challenge – NIDDK Kidney Technology Development Award, ACC Inventure Prize

(Runner-up), CECAS Spark (1st), Launchpad Liftoff (3rd), PDMA Carolinas (3rd)

• Tools Used: C++, Python, SolidWorks, Arduino

Spatial Dynamics and Functional Connectivity in EEG github.com/omaraguilarr84/Project-InnerSpeech

Aug 2024 - Dec 2024

• Investigated lexical processing using frequency-specific EEG topography and ML feature attribution.

• Visualized spatial patterns of brain activity by frequency band to understand language comprehension.

• Tools Used: Python, PyTorch, Scikit-learn

CallSense Feb 2023 - May 2024

• Developed a low-power voice recognition system using an RNN on Arduino to detect a user’s name in real-time.

• Designed to improve awareness and safety for deaf and hard-of-hearing users in public spaces.

• Award: Runner-up, 2023 SC Innovates Pitch Competition

• Tools Used: C++, Python, Arduino

Technologies

Languages: MATLAB, Python, SQL, C++, C, R

Tools & Libraries: PyTorch, scikit-learn, OpenCV, ROS, Git/GitHub, FSL Hardware & Design: Arduino, SolidWorks, motion capture systems

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