
Titanic Disaster Human Factors Analysis
HFACS-based incident investigation of human error, communication breakdowns, and organizational failures.
I bridge psychology, technology, and design to create accessible, safe, and effective human-system interactions.
Explore projects, education, and professional milestones.
HFACS-based incident investigation of human error, communication breakdowns, and organizational failures.
Research-driven UX overhaul including usability testing, competitive analysis, and heuristic evaluation.
User-centered research and human-system integration with adopted stakeholder recommendations.
Unity 3D VR bicycle simulator enhancements for DOT safety studies; presented at symposium.
Native iOS/Android concept to connect GMU commuters and reduce isolation.
4-screen companion app for a browser extension with dashboard, timers, and insights.
Minimalist social app (6+ screens) with feed, analytics, messaging, and app timer.
Wearable + mobile experience: Zen Mode, AR Wardrobe Sync, Voice Commands, Posture Alerts.
End-to-end design thinking: lean canvas, validation, and storytelling.
Observational research & contextual inquiry to uncover unmet needs.
Empathy maps, POVs, HMWs, and rapid prototyping in five sprints.
Minimalist platform with daily post limits + Focus Guardian interventions.
Customizable wearables with voice-first interface and accessibility at core.
Positive social app using "rays" gamification for constructive engagement.
Clean UI with robust filters (genre, themes, year) for discovery.
CAD, prototyping, and problem-solving foundation for human factors career.
Project Lead the Way Engineering & Computer Science
Advanced Placement with 17 AP courses + Civil Engineering.
CAD, prototyping, 3D modeling, iterative design, applied physics, logic/circuits, Python/Java/C++, data-driven design, project management.
20 transfer credits accepted by GMU — College courses taken during high school.
Financial modeling, data organization, advanced coding, formal logic, functions/derivatives, analytical reasoning, cognitive theory.
BS Psychology — Human Factors / Applied Cognition; Minor: Design Thinking
Experimental design, surveys, inferential statistics (SPSS/regression), attention/memory/perception, ergonomics & error analysis, psychophysiology, cultural UX, high-fidelity prototyping, human-centered design, technical communication.
Attention, memory, perception mechanisms; neural basis of cognition; developmental & cross-cultural psychology; ergonomics & error analysis.
Controlled studies, IRB, psychometrics; SPSS & regression; qualitative + quantitative triangulation; data ethics & reproducibility.
Engineering principles (CAD/prototyping), UI/UX, Python/Java/C++, data viz; design systems & accessibility (WCAG 2.2 AA+).
Usability & safety improvements in high-stakes interfaces focusing on human error reduction.
Evaluation framework to keep AI systems aligned with nuanced human values across contexts.
Reusable patterns prioritizing human factors, especially in healthcare and safety-critical applications.
George Mason University • 2022–Present — User studies, usability testing, HCI publications.
Bigbelly Solar • Spring 2023 - Through the first cohort of the "Advanced Topics in Human Factors" course, I redesigned app interfaces (frontend and backend) with a focus on intuitive interaction design and edge cases.
UMass-Amherst HPL • Summer 2022 — Unity VR for DOT research on cyclist safety.
HFES Student Member UXPA Member Certified Usability Analyst (In Progress)
UsabilityHuman ErrorFDAHeuristics
Human-AI InteractionAlignmentEthical DesignBehavioral Modeling
Experimental DesignStatisticsQualitativeSurveyData Viz
Multidisciplinary strengths across psychology, design, and engineering.
Human information processing, attention & memory, decision-making, perception & psychophysics, mental models.
Usability testing, heuristic evaluation, interviews, personas, wireframes & high-fidelity prototyping.
Statistical analysis, experimental design, R/Python, data visualization, survey design.
Human-AI interaction, AI alignment research, ethical design, Python, ML concepts.
Human-centered design with technical depth and research rigor.
I am a Human Factors specialist with roots in engineering and psychology. I build systems that reduce cognitive load and elevate accessibility—especially in healthcare and AI-driven products.
My approach blends scientific methods (validity, reliability, statistical power) with design excellence (clear hierarchy, strong contrast, and color-blind-safe palettes).
Available for select consulting and full-time opportunities.
Washington, DC
*Willing to relocate.
George Mason University