Hey, I'm Roya! 👋🏻
MS CS at Dartmouth College 🌲
Passionate about computational science, ML/AI, and all things research.
From Panthers to Pines
A tasteful collection of achievements and honors I've received at Adelphi University and Dartmouth College throughout my time there 🐾🌲
Adelphi University
Bachelor of Science in Computer Science (GPA: 4.0)
May 2025 🎓, Summa Cum Laude
- • Honors College
- • Software Engineering Track
- • Minor in Statistics and Data Analytics
- • Dean's List (All Semesters)
- • Deans Circle Inductee
Highlights & Achievements
- • Honors College Summer Research Fellowship Recipient 📚
- • Served as a 4x teaching assistant in introductory programming courses, statistics, algorithms, and numerical calculus! 🏫
- • Honors College Mentor 2x 👩🏻💻
- • Co-Founder and VP of the W-STEM club! 👩🏻⚕️
- • Publicity Chair for NSLS, the largest honor society on campus! 🎉
- • Presented my thesis at the Northeast Regional Honors Conference in March 2025! ✈️
- • Equestrian Team Competition Rider 🐎
My Experience
Take a walk down memory lane with me to see how far I've come! 📍
Coding Instructor
Coding Minds Academy | Jun. 2022 - Oct. 2022
Mobile Frontend Developer Intern
Pure Match | Dec. 2022 - Apr. 2023
Undergraduate TA (Math/CS Department)
Adelphi University | Jan. 2023 - May 2025
Software Engineer Intern
North Atlantic Industries | Jun. 2023 - Dec. 2024
Undergraduate Student Researcher
Adelphi University | Mar. 2024 - May 2025
Student Researcher
New York Proton Center | Mar. 2024 - Present
Courses That Made Me Think (Really Hard)
A curated list of the courses that shaped my passion for machine learning, AI, and computational research -- from theory to application!
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
My senior thesis focuses on improving the accuracy of proton stopping power estimation using dual energy CT models, particularly in pediatric cancer therapy. This research is conducted in cooperation with the New York Proton Center. Through this work, I have created the first DECT analysis tool that is currently being used by the New York Proton Center in their labs. My research advisor is Dr. Sixia Chen from the Computer Science department at Adelphi University. Additionally, I was awarded the prestigious Honors College Summer Research Fellowship to pursue these studies.
Undergraduate Thesis (Adelphi University)
📄 Read Full Thesis
Quantitative Benchmarking of SECT and DECT Proton Models in Noisy Imaging Conditions
This project investigates the comparative robustness of single-energy CT (SECT) and dual-energy CT (DECT) based proton stopping power estimation models under varying levels of acquisition noise. Pediatric CT phantom datasets are used to benchmark model performance using quantitative metrics, assessing the stability and accuracy of predicted stopping power ratios. The study builds on Schneider’s stoichiometric calibration (1995) and applies it across multiple noise conditions to evaluate clinical reliability. This project is currently under active development and intellectual property protection in collaboration with the New York Proton Center. Principal Investigator: Dr. Han (New York Proton Center)
New York Proton Center