Hello! Welcome to my personal website! I am a PhD student who joined the University of Georgia in June 2023, majoring in Electrical and Computer Engineering. I am fortunate to receive guidance from Dr. Yiping Zhao and Dr. Xianyan Chen.

My work focuses on statistical and machine learning analysis of biological/chemical sensor data, especially on SERS (Surface-enhanced Raman spectroscopy) spectrum, an incredibly powerful technique that enables the detection and analysis of molecules at the nanoscale. Through my work, I aim to contribute to the development of novel diagnostic algorithms for identifying latent patterns of spectrum, classifying spectrum, and making generalizations with spectrum in all kinds of circumstances, e.g., virus detection. I also hope to contribute to the fundamentals of this field, such as building open databases and designing Python packages that help researchers around the globe get, process, and analyze spectrum data much more easily.

I received my Master’s degree in the Master of Science in Artificial Intelligence (MSAI) program at Northeastern University in 2023. Previously, I received my undergraduate degree in 2021 from the School of Mathematical Sciences at Nankai University with a B.S. in Statistics. At Nankai University, I was supervised by Dr. Sheng Zhang to write my thesis: An Exploration of Transformer-Based Object Detection Technology.

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News

1. Mar 19, 2025 - Our conference paper “Label-free detection of respiratory virus co-infections: integrating surface-enhanced Raman scattering with deep learning” was published in the SPIE proceedings. Presented by Dr. Yiping Zhao.

2. Jan 28, 2025 - Our paper “Multiplex Detection and Quantification of Virus Co-Infections Using Label-free Surface-Enhanced Raman Spectroscopy and Deep Learning Algorithms” is now published! I co-led the machine learning analysis and served as second author.

3. Dec 4, 2024 - A collaborative publication with Dr. Ping Ma’s group titled “Functional regression for SERS spectrum transformation across diverse instruments” has been published!

4. Nov 11, 2024 - Our lab has published an open-source online spectral processing tool - SpectraGuru (spectraguru.org). Feel free to check out!

5. Jul 2, 2024 - Our paper “Ultra-sensitive detection of PFASs using surface enhanced Raman scattering and machine learning: a promising approach for environmental analysis” is now published! I co-led the machine learning analysis and served as second author.

6. Jun 20, 2024 - Our conference paper “Detection of SARS-CoV-2 in patient specimens by surface enhanced Raman spectroscopy and deep learning” was published in the SPIE proceedings. Presented by Dr. Yiping Zhao.

7. Jun 6, 2024 - Our paper “Rapid Detection of SARS-CoV-2 Variants Using an Angiotensin-Converting Enzyme 2-Based Surface-Enhanced Raman Spectroscopy Sensor Enhanced by CoVari Deep Learning Algorithms” is now published! I co-led the machine learning analysis and served as second author.

8. Feb 09, 2024 - I attended the College of Public Health Research Day and presented two posters at the UGA Classic Center. Please see my posters on PFAS detection and virus mixture detection.

9. Dec 15, 2023 - A collaborative publication with Sichuan University titled “Decoding PFAS contamination via Raman spectroscopy: A combined DFT and machine learning investigation” has been published!

10. Dec 15, 2023 - I created my publications page and Google Scholar page for my publications :)