Micheal Jiang

Co-founded ReMatter and successfully shipped Releaf to the App Store, creating a comprehensive sustainability platform that transforms environmental awareness into actionable daily habits. The application features a meticulously crafted SwiftUI frontend paired with a robust Django/FastAPI backend architecture, delivering real-time carbon footprint tracking, intelligent location-aware environmental tasks, and engaging community challenges. The system incorporates sophisticated data models with privacy-first analytics principles, ensuring user data protection while providing meaningful insights. Key features include personalized sustainability recommendations, progress tracking with visual analytics, social sharing capabilities, and gamification elements that encourage consistent environmental action. This project demonstrates the intersection of environmental consciousness and cutting-edge mobile technology, proving that well-designed digital solutions can drive real-world positive impact.

Developed an innovative CNN/RNN/transformer hybrid architecture that revolutionizes accessibility through real-time sign language translation technology. This sophisticated system ingests video streams with optional audio input and renders precise 3D stick-figure avatars for immediate, accurate translation output. The solution is fully containerized and WebRTC-ready, specifically designed for edge acceleration to minimize latency and maximize accessibility. The multimodal approach leverages computer vision for gesture recognition, natural language processing for context understanding, and advanced 3D rendering for clear visual output. Key technical innovations include optimized neural network architectures for mobile deployment, efficient data preprocessing pipelines, and robust error handling for various lighting conditions. The browser-based implementation ensures universal accessibility without requiring specialized software installations, addressing critical needs in accessibility technology.

Engineered a groundbreaking surrogate-transformer stack that combines meticulously curated astronomical catalogs with sophisticated simulation priors to advance astrobiology research and hypothesis generation. This innovative system features transformer surrogates that approximate computationally expensive astrophysical models at orders-of-magnitude lower computational cost, while maintaining scientific accuracy and reliability. The architecture incorporates advanced LLM orchestration for intelligent data validation, comprehensive uncertainty quantification, and automated hypothesis generation that accelerates scientific discovery processes. Key technical achievements include physics-informed neural networks that respect fundamental astrophysical constraints, efficient data fusion algorithms, and robust uncertainty propagation methods. The platform enables researchers to explore parameter spaces that would be computationally prohibitive with traditional simulation methods, democratizing access to advanced astrobiological modeling capabilities and accelerating the search for life beyond Earth.

Led comprehensive web stack development and designed a sophisticated SQL-backed data treatment pipeline for wet-lab experiment management that became instrumental in our team's Gold medal achievement at the international iGEM competition. This robust system standardized metadata collection, implemented automated quality control protocols, and enabled significantly faster data analysis workflows that transformed our research capabilities. Key technical implementations included real-time data ingestion from laboratory instruments, automated data validation and cleaning processes, comprehensive experiment tracking with version control, and interactive visualization dashboards for rapid insight generation. The system architecture supported concurrent user access, maintained data integrity through transaction management, and provided audit trails for regulatory compliance. This project demonstrated the critical importance of robust data infrastructure in modern biological research, showing how well-designed systems can accelerate scientific discovery and enhance research quality.