معرفی
Xin Li is an Assistant Professor of Finance at the College of Business, Michigan Technological University. His research focuses on Empirical Asset Pricing, Bond Pricing, Institutional Investments, Fintech, and Market Microstructure. He teaches courses in Asset Pricing, Corporate Finance, Investment, Fixed Income, and Risk Management.
His research emphasizes innovative methodologies in financial markets, including the application of dual recognition systems in biosensors and data-driven frameworks for sensor optimization. Recent work explores convolutional neural networks for early-stage gas identification and multi-sensor systems for chemical analysis.
Xin Li’s publications span analytical chemistry, sensor technology, and materials science, with notable contributions to electrochemical sensors, nanomaterials, and high-temperature gas detection. His work bridges finance and engineering through interdisciplinary research on Fintech and sensor innovation.
