• Ph.D. candidate in Computer Science at the University of Kentucky

• Graduate Research Assistant (Internal Medicine, Division of Biomedical Informatics)

• Research Focus
  • Advanced data mining and computer vision for medical and biological informatics
  • Multitask, multimodal modeling of structured real-world data
  • Integration of spatial transcriptomics, single-cell RNA-seq, and multi-omics data
  • Vision–language reasoning for imputation and predictive modeling
• Academic Contributions
  • Teaching, mentoring, and interdisciplinary collaboration
• Honors & Training
  • Selected for Huawei Seeds for the Future
  • Training in 5G, AI/ML, cloud computing, IoT, cybersecurity, and leadership
• Research Goal
  • Advancing AI-driven solutions for healthcare and biological data analysis

Feel free to explore my publications, projects, and blog posts to learn more about my work.

Research Interests:

• Vision Language models
• Generative AI
• Diffusion Models
• Spatial Omics
• sc RNA -seq
• Medical Imaging
• Deep Learning

News:

• New!: [July 2026] Paper published at Computational and Structural Biotechnology Journal.
• New!: [April 2026] Paper Published at Neurocomputing.
• New!: [March 2026] Selected as a Student Awardee and attended the NAIRR 2026 Annual Meeting, hosted by the NSF.
• New!: [December 2025] Paper accepted at Journal of Biomedical Informatics.
• [September 2025] Paper accepted at Biomedcial Optics Express Journal.
• [June 2025] Selected for the KDD 2025 Student Travel Grant Award!.
• [May 2025] Accepted paper at KDD 2025 (Oral + Poster), CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation .
• [Jan 2025] Started working as a Graduate Teaching Assistant of CS at University of Kentucky.
• [Jan 2024] Manuscript published in the Journal of Applied Clinical Medical Physics!.