2025
- Invited talk at AMIA Genomics and Translational Bioinformatics Working Group: "BrainGeneBot: Integrating Rank Aggregation with GPT-Informed Polygenic Score Analysis in Alzheimer's Disease."
- Paper published in Briefings in Bioinformatics: "BrainGeneBot: A Framework for Variant Prioritization and Generative Pretrained Transformer-Informed Interpretation Across Polygenic Risk Score Studies."
- Paper published in Medical Image Analysis: "Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks."
2024
- Joined UTHealth Houston as Postdoctoral Research Fellow in the McWilliams School of Biomedical Informatics (PI: Dr. Zhongming Zhao).
- Defended Ph.D. dissertation in Biomedical Engineering at Tulane University.
- Awarded CPRIT BIG-TCR Fellowship (2024–2026) from the Cancer Prevention and Research Institute of Texas.
- Paper published in IEEE Transactions on Medical Imaging: "Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework."
2023
- Oral presentation at the Organization for Human Brain Mapping (OHBM) Annual Meeting, Montreal, Canada.
2022
- Completed summer internship at Merck developing AI-based automated PD-L1 CPS scoring.
- Paper published in IEEE Transactions on Biomedical Engineering: "Brain Functional Connectivity Analysis via Graphical Deep Learning."
- Review paper published in IEEE Signal Processing Magazine: "Deep Learning in Neuroimaging: Promises and Challenges."
2021
- Paper published in IEEE Transactions on Biomedical Engineering: "Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network."
- Oral presentation at dev-CoG/dev-MIND 2021 workshop.
2020
- Oral presentation at SPIE Medical Imaging 2020, Houston, TX.
- Co-authored paper published in Medical Image Analysis: "Graph Temporal Ensembling Based Semi-supervised CNN."
- Oral presentation at dev-CoG/dev-MIND 2020 workshop.