Selected Projects
Selected Projects
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See my Google Scholar page for all of my academic publications.
Because I conducted proprietary research at Meta, I have included mockup projects that highlight my same skills and impact from real projects I worked on but in an unrelated field that avoids revealing confidential information.
Integrating High-Speed Camera into Lab Automation System
Integrated a high-speed camera into my team’s automated system, creating custom software for precise data capture. This enabled researchers to analyze dynamic processes, showcasing skills in software development and cross-team collaboration.Integrating High-Speed Camera into Lab Automation System
Note that this is a mockup project that mirrors a real project I worked on in terms of skills and impact but in an unrelated field to avoid revealing confidential information.
Skills used: Python, hardware/software integration, cross-functional collaboration
Position: Hardware Research Scientist @ Meta
Real-Time Coastal Erosion Monitoring & Prediction System
Engineered a real-time coastal erosion system analyzing sensor time series data and 2D images. Applied geometric models, built predictive models, and created the live dashboard to drive data-back decision-making for coastal management and safety.Real-Time Coastal Erosion Monitoring & Prediction System
Note that this is a mockup project that mirrors a real project I worked on in terms of skills and impact but in an unrelated field to avoid revealing confidential information.
Skills used: Machine learning, real-time visualization, time series data analysis, Python
Position: Hardware Research Scientist @ Meta
A supervised deep learning brain-computer interface model with 25% better accuracy than SOTA
Skills used: TensorFlow, Python, deep learning, big data processing, transfer learning
Position: Postdoctoral Research Scholar @ UW
A deep learning brain-computer interface model that leverages data from 2+ modalities to accurately decode unlabelled brain data
Skills used: PyTorch, Python, A/B testing, feature engineering, statistical analysis
Position: Postdoctoral Research Scholar @ UW
A data-driven balance training method that used visual rotations to improve short-term learning by 400%. Using EEG, I showed how visual rotations impacted brain activity.
Skills used: MATLAB, R, adaptive filtering, digital signal processing, statistical analysis
Position: Graduate Student Researcher @ UM
Built a custom VR environment using Kinect to evaluate user stress responses and develop data-driven recommendations for VR-based training effectiveness
Skills used: MATLAB, C#, SPSS, Unity, biomedical signal processing, statistics
Position: Graduate Student Researcher @ UM
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