Add Anuja Khanal CoDaS-HEP 2026 profile

_codas-hep-students/2026/anuja000.md

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+---
+layout: codas-hep-participant
+e-mail: anuja.khanal@temple.edu
+institution: TEMPLE UNIVERSITY
+name: Anuja Khanal
+photo: "/assets/images/codas-hep/2026/Anuja-Khanal.jpg"
+github-username: anuja000
+linkedin-profile: www.linkedin.com/in/anuja-khanal-121a66148
+orcid: https://orcid.org/0009-0008-6991-1394
+title: Ph.D. Student
+website:
+logos:
+    - /assets/images/codas-hep/logos/STAR.png
+    - /assets/images/codas-hep/logos/Temple.png
+---
+
+## My research:
+I am a final-year Ph.D. candidate in Physics at Temple University working with the STAR Collaboration at RHIC, Brookhaven National Laboratory. My research focuses on the spin structure of the proton through measurements of transverse spin asymmetries in polarized proton-proton collisions. I study di-hadron production, including pion-kaon and kaon-kaon pairs, to investigate transversity and interference fragmentation functions.
+
+## My expertise is:
+High-energy nuclear and particle physics
+Data analysis with ROOT and C++
+Statistical data analysis
+Particle identification using the STAR TPC and TOF detectors
+Scientific computing on Linux-based HPC systems
+
+## A problem I'm grappling with:
+Developing efficient and scalable workflows for analyzing large high-energy physics datasets using modern software tools and machine learning.
+
+## I've got my eyes on:
+Strengthening my software engineering and data science skills to bridge high-energy physics, AI, and scientific computing.
+
+## I want to know more about:
+Machine learning applications in high-energy physics
+Modern software engineering practices for scientific research
+High-performance and parallel computing
+AI-assisted scientific analysis