STEM Research & Development

Honors researcher and developer at Oregon State University working across quantum computing, AI, and bioinformatics. Founder of NeurQL and QuARC, creating the bridge between scientific computation and discovery.

Academic Overview

I’m pursuing dual Honors Bachelor’s degrees in Computer Science (AI)and Biological Data Science (Computational Biology)with minors in Mathematics and Music Performance. My research focuses on quantum algorithm benchmarking, bioinformatics pipelines, and hybrid quantum–classical software development. I am currently beginning my Honors Thesis on quantum-inspired EEG modeling under Dr. Kevin Brown.

Projects

C-QuEE v2 — Quantum Benchmarking

June 2025 – Present

Developed a quantum–classical benchmarking framework for comparing circuit complexity and efficiency. Deployed across PowerEdge and Raspberry Pi clusters. GitHub

Q-GENE — Quantum Genomic Search

July 2025 – Present

Hybrid quantum–classical algorithm for genomic motif and amino-acid recognition using quantum search and classical validation pipelines.

ConoADAMM — Conotoxin Pipeline

June 2025 – August 2025

Built an AI-driven workflow for identifying cysteine-rich peptide motifs in Conus textile. Designed theoretical mass prediction models with Biopython and BLAST.

NeurQL — Quantum Learning Platform

May 2025 – Present

Founded NeurQL, a public platform for student quantum research, featuring simulation tools, benchmarking engines, and AI-assisted publishing.

Research Experience

Dr. Bingham Lab — University of Hawai‘i (INBRE & CTAHR)

June 2025 – Present

Developed AI pipelines for conotoxin detection and theoretical mass modeling using Python, BLAST, and Biopython.

Dr. Hendrix Lab — Oregon State University

October 2025 – Present

Performed computational RNA-seq analysis using Bowtie, STAR, and DESeq2 to identify viroid-induced gene expression patterns in plants.

Dr. Chet Udell — OPEnS Lab, Oregon State University

June 2025 – Present

Developed embedded environmental and musical feedback systems using Arduino, Node.js, and Circuit Playground Express.

Certifications

Machine Learning Specialization — Stanford (Coursera)

Completed May 2025

Quantum Developer (Qiskit v2) — IBM

In progress — Expected Nov 2025

Python for AI & Data Science — IBM Cognitive Class

Completed Apr 2025

Bioinformatics in R — UC San Diego

Completed Jun 2025

TensorFlow Developer — DeepLearning.AI

In progress — Expected Dec 2025

SQL for Data Science — UC Davis

Completed Apr 2025

Tools & Technologies

Programming: Python, C/C++, Java, JavaScript, R, SQL

Frameworks: Node.js, TensorFlow, Pandas, NumPy, Matplotlib

Data & AI: BioPython, BLAST, DESeq2, NCBI Tools

Hardware & Systems: Raspberry Pi, Arduino, Dell PowerEdge, Linux

DevOps: Docker, Git, MongoDB

Résumé

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