Hey, I'm Roya! 👋🏻

MS CS at Dartmouth College 🌲

Passionate about computational science, ML/AI, and all things research.

Roya

Research Interests

Exploring the intersection of computational science and healthcare.

Medical Image Analysis

Developing deep learning models for real-time analysis to enhance diagnostic precision.

Therapeutic Precision

Designing robust computational models to improve safety in radiation therapy.

Clinical Workflow Automation

Creating full-stack applications to automate complex clinical and research workflows.

Education

My academic foundation in Computer Science and Statistics

Dartmouth College

Dartmouth College

Graduate

Master of Science in Computer Science

Expected June 2027

Joining the Hassanpour Lab in Winter 2026 to do research on real-time DL on ultrasound scans! 🩻

Adelphi University

Adelphi University

Undergraduate

Bachelor of Science in Computer Science (GPA: 4.0)

May 2025 🎓, Summa Cum Laude

Honors College

Software Engineering Track

Relevant Coursework

Curated list graduate and undergraduate coursework covering the foundations of my research

Algorithms and Complexities
Statistics and Data Analytics
Artificial Intelligence
Computational Biology
Machine Learning and Statistical Analysis
Human Computer Interaction
Agentic AI
Deep Learning Robustness

Tools of the Trade

I've gotten pretty good at some tools throughout my career. Here's my favorites!

What I'm Digging Into

A showcase of my research projects that highlight my contributions to the field.

Optimizing Dual Energy CT Models for Accurate Proton Stopping Power Estimation in Pediatric Cancer Therapy

Optimizing Dual Energy CT Models for Accurate Proton Stopping Power Estimation in Pediatric Cancer Therapy

Undergraduate Thesis (PI: Dr. Sixia Chen & Dr. Dong Han)

📄 Read Full Thesis
Quantitative Benchmarking of SECT and DECT Proton Models in Noisy Imaging Conditions

Quantitative Benchmarking of SECT and DECT Proton Models in Noisy Imaging Conditions

New York Proton Center (PI: Dr. Dong Han)

Developing Real-Time Residual Learning Models for Ultrasound Detection of Cervical Cancer

Developing Real-Time Residual Learning Models for Ultrasound Detection of Cervical Cancer

Dartmouth College (Hassanpour Lab)