Hanyu Pan

Focus: Developed a machine learning model to classify mass spectrometry peaks, enhancing data interpretation in proteomics and metabolomics.

Key Technical Contributions:

• Implemented an SVM model with PCA for MS peak classification, achieving high accuracy and validated robustness on independent data.
• Utilized Python for data preprocessing, feature engineering, and model optimization, advancing computational modeling skills.
• Gained in-depth understanding of mass spectrometry techniques, including peak identification, data preprocessing, and interpretation essential for environmental chemistry.

Focus: Investigated structural changes in PFASs using nano-FTIR spectroscopy.

Key Technical Contributions:

• Conducted experiments analyzing interactions between PFOS and humic acids, ensuring precise data collection for accurate interpretation.
• Enhanced proficiency in FTIR spectroscopy and spectroscopic data analysis relevant to environmental chemistry.

Focus: Supported biological research through DNA isolation and enzyme techniques, providing foundational experience in biochemical methods.

Key Technical Contributions:

• Conducted DNA isolation and enzyme reactions, applying precise laboratory protocols for accurate genetic material analysis.
• Gained experience with gel electrophoresis techniques for DNA separation and visualization, strengthening technical proficiency in molecular biology.
• Analyzed experimental data using statistical methods, enhancing skills in data interpretation and validation.
• Reviewed relevant scientific literature to inform experimental design, deepening understanding of molecular mechanisms and research methodology.