MD · MS Digital Health · MS Biomedical Engineering · UX / Human Factors · Digital Health
I research clinical workflows, map the needs of clinicians and patients, and turn that insight into clear, human-centered digital products — from wearable-driven preventive care to sales and operations tools shipped to real users.
An explainable-AI dashboard that turns wearable data into risk insights clinicians can trust and act on. Interactive prototype.
A dashboard that gives a small team one clear view of sales performance and reporting — designed and shipped at MKT Actual.
A guided flow that lets clients build a tailored quote in minutes, replacing slow back-and-forth with a self-serve experience.
A kanban-style system that makes team workload and priorities visible at a glance, keeping projects moving without status meetings.
Expertise
Research & Biosignals
HF/E & Ergonomics
Digital Health & AI
Clinical
Business & Marketing
Research
Volunteer research assistant supporting a study on physiological trust markers in AV scenarios (fNIRS, eye tracking, ECG) and machine-learning classification of trust states. Neuroergonomics Lab, PI Dr. Ranjana Mehta (Spring 2025).
fNIRS · Eye Tracking · ECG · XGBoost · Bayesian Models · Python
Two-round study evaluating a BlueSky ATC simulator. Round 1: exploratory baseline with eye tracking and ECG. Round 2: three counterbalanced interface conditions measuring cognitive load, trust, and situational awareness via NASA-TLX, SART, and Jian Trust Scale.
Tobii Eye Tracking · ECG · BlueSky ATC Sim · NASA-TLX · SART · Jian Trust Scale
Lab 1: RULA/REBA scoring + MediaPipe continuous joint-angle analysis across 5 participants in two manual handling tasks. Lab 2: muscle fatigue assessment in 6 participants (3M/3F) with isometric handgrip at 20-100% MVC; EMG analyzed via RMS and MPF slopes, compared against Rohmert theoretical curve.
RULA · REBA · MediaPipe · EMG (RMS/MPF) · Handgrip Dynamometer · Rohmert Curve · Borg RPE
MS thesis: digital health platform integrating wearable biosensors, FHIR/HL7 interoperability, and XGBoost with SHAP explainability for personalized preventive care. Addresses remote patient monitoring, clinical decision support, and health data governance.
Wearables · FHIR/HL7 · XGBoost · SHAP · Preventive Medicine · Python
3-year collaboration at UANL Neurosurgery: 3D anatomical model design for surgical planning, patient data collection for prospective and retrospective studies, and development of improved clinical data capture systems for outcome evaluation.
3D Anatomical Modeling · Clinical Data Collection · Prospective & Retrospective Studies
Applied HF/E systems-thinking to analyze workflow disruptions in trauma care and CVOR settings. Identified latent safety threats, interruption patterns, and cognitive demands on clinical staff. Proposed design-level interventions to reduce error likelihood and improve care delivery.
Trauma Care · CVOR · Systems Thinking · Patient Safety · Cognitive Task Analysis
Experience
Let’s work together
Medical Device Industry · Clinical Informatics · Digital Health · HF/E Research