Sina Jamalzadegan, Ph.D.
Education
Ph.D. in Chemical Engineering, NC State University (2021–2025)
Ph.D. in Chemical Engineering, NC State University (2021–2025)
Thesis: Advancing Biosensors Through Computational Modeling, Artificial Intelligence, and CRISPR Technology
Building AI-driven methods for biosensing, diagnostics, and multimodal measurement — bridging
machine learning, computational modeling, and real-world deployment.
AI/ML
Biosensors
CRISPR Diagnostics
Wearables
Plasmonics
Brand: Sina4AI • Hosted on GitHub Pages
Highlights
- AI-powered colorimetric sensing and VOC analytics for plant health monitoring.
- Wearable sensing platforms and smartphone-enabled point-of-care diagnostics.
- Liquid metal nanomaterials & plasmonic modeling for sensor performance tuning.
- CRISPR-based RNA detection and scalable assay design.
Quick links
About
Research focus
I work at the intersection of AI/ML and biosensing to develop practical systems for early detection,
robust signal interpretation, and real-world deployment. My interests span multimodal sensing, LLM-assisted
analytics, mechanistic modeling, and smartphone/wearable platforms.
Topics
Machine Learning
Multimodal Sensing
Colorimetric Analytics
VOC Sensing
Plasmonics
Diagnostics
Contact
Email
Profiles