Priti See

About Priti See

Biomedical Engineering student at UT Dallas specializing in machine learning applications for biological systems. I lead predictive modeling research for protein mutation classification, developing computational solutions for precision healthcare.Key Achievements-Led development of hybrid CNN-GNN-LSTM model achieving 84% accuracy in EEG seizure classification across 500+ patient datasets-Built protein mutation prediction pipeline processing genetic variants with 89% classification accuracy-Managed cross-functional research team of 8 members, delivering 3 peer-reviewed publications in 18 months-Streamlined operational processes for 200+ member organization, reducing administrative overhead by 30%Technical Expertise-Deep Learning (TensorFlow, PyTorch)| Biomedical Signal Processing | Genomic Data Analysis | Python/R Statistical Computing | Cloud Computing (AWS, GCP)| Database Management (SQL, NoSQL)Leadership Experience-Currently serve as VP Operations for Tri Delta and VP Judicial Affairs for College Panhellenic Association, overseeing governance, conflict resolution, and strategic planning for 500+ members combined.Research Focus-I develop AI-driven diagnostic tools for neurological disorders and genetic diseases, with particular expertise in multimodal data integration and real-time clinical decision support systems.Let\'s Connect:Seeking collaboration opportunities in biomedical AI research, healthcare startups, or clinical ML implementation, especially in immunology, endocrinology and pathology. Available for consulting on biomedical data science/bioinformatics projects.

Experience

1. Green Fellow

   Ut Southwestern Biomedical Engineering

   Nov 2025 — Present · Dallas, TX, US

Education

• The University of Texas at Dallas

  Bachelor of Biomedical Engineering - BS