Curriculum vitae

Designed and evaluated a multimodal predictive framework to detect impending attention lapses using EEG, ECG, eye-tracking, and behavioral data. Compared different ways of representing and combining multimodal information for prediction.

Outcome: Ongoing.

• Multimodal Signal Processing
• Feature Engineering
• Predictive Modeling
• Cross-Subject Generalization

Analyzed multimodal data (EEG, ECG, EDA, and gaze) to investigate cognitive-load estimation. Built multimodal preprocessing and modeling workflows. Evaluated modality representations and multimodal fusion strategies for cross-participant prediction.

Outcome: In the ordinary window-level classical benchmark, an MLP using all four modalities achieved the highest balanced accuracy, while leave-one-subject-out (LOSO) evaluation revealed substantially weaker generalization and no consistent multimodal advantage across classical or neural models.

• Physiological Signal Processing
• Machine Learning
• Deep Learning
• Multimodal Fusion
• Model Validation

Conducted behavioral experiments (foot-fault test, grip strength, balance beam, and Morris water maze) to evaluate motor and cognitive recovery in rodent TBI models. Performed stereotaxic intracranial microinjections and established primary neuronal and microglial cultures for downstream assays (Western blotting, qPCR, ELISA, and immunofluorescence). Integrated bulk RNA-seq data analysis, miRNA target prediction networks, and molecular docking to identify key target candidates regulated by neuritin.

Outcome: Provided evidence that neuritin exerts neuroprotective effects and identified a candidate molecular target.

• Behavioral Testing
• Stereotaxic Techniques
• Primary Cell Culture
• Molecular Assays
• Transcriptomic Analysis
• miRNA Target Prediction
• Molecular Docking

Investigated how coal dust exposure exacerbates cognitive impairment in miners. Performed transcriptome analysis. Assisted with collecting and organizing clinical, exposure, questionnaire, and cognitive-assessment data, including data entry and quality control.

Outcome: Showed that higher coal dust exposure was associated with cognitive performance in miners, and that activation of the IL-6/ERK1/2/SP1 pathway exacerbated cognitive impairment.

• Transcriptomics
• Clinical Data Management
• Data Quality Control

Evaluated the effects of 4-EG in LPS-induced cognitive and affective impairment across behavioral paradigms (Morris water maze, Y-maze, and open-field test). Executed transcriptomic analysis (bulk and single-cell RNA-seq) to decipher cellular heterogeneity and downstream signaling pathways. Conducted histological, biochemical, and cell-based experiments to characterize neural injury and treatment-related changes.

Outcome: Elucidated how neuroinflammatory signaling contributes to cognitive and affective dysfunction. Identified a gene involved in the regulation of cognitive function, with additional work in preparation.

• Behavioral Testing
• RNA-seq Analysis & Cell-Type Annotation

Investigated the effects of safranal in ISO-induced myocardial injury. Performed bioinformatics analysis and cultured primary cardiomyocytes, H9c2, THP-1, and RAW264.7 cells.

Outcome: Demonstrated that safranal suppressed TNF, PTGS2, MMP9, and pRELA expression via the TNF signaling pathway, thereby protecting against myocardial injury induced by sympathetic overactivation.

• Bioinformatics
• Molecular Docking
• Cell Culture

Investigated mechanisms contributing to postoperative cognitive dysfunction (POCD) after surgery. Conducted behavioral experiments on aged mice using the Morris water maze. Administered anesthesia and performed splenectomy to establish the POCD model. Assisted with patch-clamp experiments.

Outcome: Demonstrated associations between surgery-induced neuroinflammation, neuronal injury, and postoperative cognitive dysfunction in aged mice.

• Animal Models
• Behavioral Testing
• Assisted with patch-clamp recordings