News
Recent updates and milestones
Cylindrical Geodesic Flow Matching for Quasiperiodic Physiological Signal Transformation
NeurIPS 2026 Main Conference, Sydney. This work introduces a flow matching method for paired cardiovascular waveform translation that replaces the standard affine path with a closed-form geodesic on the phase-amplitude cylinder, outperforming interpolation baselines on zero-shot photoplethysmography and limited-support seismocardiography adaptation benchmarks.
Towards Monitoring Acute Opioid Withdrawal Severity Using a Multimodal Wearable Chest Patch
ACM Transactions on Computing for Healthcare. This study characterizes 32 cardiorespiratory features from wearable signals in 16 individuals with opioid use disorder over 7 days, identifying features that differ between high and low withdrawal and classifying withdrawal severity with machine learning.
EffSCG: Real-Time Seismocardiogram Denoising on Edge Devices
IEEE Journal of Biomedical and Health Informatics. This work presents an optimization framework that lets a deep learning seismocardiogram denoiser run directly on resource-constrained wearables, cutting inference time and memory footprint without substantive accuracy loss.
SCRIBE: Simultaneous Cardiac and Respiratory Impedance Biomarkers with Electromechanics
IEEE Sensors Journal. This work presents SCRIBE, a compact, flexible chest patch that concurrently measures cardiac and respiratory mechanics using ECG, seismocardiography, photoplethysmography, and bioimpedance.
Seismocardiography Pig Hypovolemia Dataset for Signal Quality Indexing and Validated Cardiac Timings
Scientific Data. This study introduces a validated dataset of porcine seismocardiogram heartbeats, expertly annotated for cardiac timings and signal quality to benchmark non-invasive monitoring. These high-quality labels address a critical data scarcity, enabling the training of supervised deep learning models to automate signal denoising, feature extraction, and fiducial point detection.
IEEE Body Sensor Networks Presentation in Los Angeles
Presented research on the quantification of opioid withdrawal through seismocardiogram variability from wearable CardioTag devices.
Characterizing Central-Autonomic Dynamics during an Episodic Memory Task
IEEE Transactions on Biomedical Engineering. This study analyzes coupling between the central and autonomic nervous systems in 67 healthy adults during an episodic memory task, using EEG alongside ECG and seismocardiogram signals.
Quantifying Opioid Withdrawal through Cardio-mechanical Variability using Multimodal Wearable Sensors
IEEE BSN conference. This study demonstrates a significant correlation between cardio-mechanical variability (SCG signals) and subjective withdrawal severity, proposing a new objective biomarker for monitoring recovery.
Seven ECE Graduates Receive NSF Research Fellowship
Featured in an article by Georgia Tech's School of Electrical and Computer Engineering highlighting the recipients of the NSF Research Fellowship.
Honored by Vice Chancellor for Academic Affairs
Recognized by Vice Chancellor Sharon Jones for fellowship achievements at the University of Washington Bothell Student Academic Showcase.
Incarceration to Innovation
Featured in a news piece from the School of Science, Technology, Engineering & Mathematics at the University of Washington Bothell.
Awarded NSF Graduate Research Fellowship (GRFP)
Recipient of the National Science Foundation's Graduate Research Fellowship Program (GRFP), a prestigious award supporting outstanding graduate students.
HELPSE: Privacy-Preserving Password Strength Estimation
GLSVLSI '22 conference. This work introduces a secure method to evaluate password strength on cloud servers without ever decrypting the user's data.
Gabriel E. Gallardo Symposium Presentation
Presented research on an 'Independent Measurement Platform for Federated Learning Models on Android Devices' at the University of Washington.
Giving a Voice to the Community
Featured in The Daily at the University of Washington for excellence in machine learning research and community impact.
From Prison to Purpose
Profiled by the University of Washington Bothell news for my personal journey and academic achievements in STEM.
Awarded Mary Gates Research Scholarship
Received the Mary Gates Research Scholarship at the University of Washington, which supports undergraduates engaged in research.
SACNAS National Diversity in STEM Conference
Presented 'Android On-device Federated Learning of PyTorch Models with Flower' at the SACNAS National Diversity in STEM conference.