Deputy Director · Founder · Educator · Builder
Ashley Scruse, Ph.D.
I'm Deputy Director of the Morehouse Supercomputing Facility and Faculty Fellow with the AUC Data Science Initiative. My research lives at the intersection of computational biology, machine learning, and high-performance computing, focused on real-world solutions that create measurable impact for the communities affected by the problems I study.
I'm drawn to work that creates real impact. Whether it's a workshop that builds HBCU data science capacity, a training program that launches 35+ students into research careers, or published work that provides real utility, I want everything I build to solve actual problems.
Beyond academia, I'm building a personal brand around digital marketing and AI solutions for small businesses. Through side projects like an AI verification platform and a personal brand site, I'm developing the professional skills that come from leveraging AI to build in public: blockchain, smart contracts, digital marketing, email marketing, market research, copywriting, and automation.
What I've Built
Projects
AI Verification Saas Platform - Quiet Stack
Blockchain-verified AI platform that makes AI interactions transparent, auditable, and regulatory-compliant. Features real-time verification via Polygon blockchain, multi-provider AI support, and enterprise audit dashboard.
Personal Brand Site - Ashley Scruse
Personal portfolio and blog built with Next.js 14, featuring MDX blog system, Firebase authentication, and modern design.
Frameworks & Toolkits
Software & Developer Tooling
Rockhouse ATL (Sauvage Outdoors)
Full-stack client website with a custom scheduling and booking backend that streamlines reservations and reduces manual coordination.
Claude Skills Library
A library of reusable Claude skills that package repeatable workflows (research, content, analysis) into invokable agent tools.
AI Research Workflow
GitHub-and-Claude pipeline for reproducible, AI-assisted research, with staged multi-agent review (build, critique, edit) for quality control.
AI-Assisted Grant Writing Toolkit
Persistent-context framework for proposal writing: a structured file that captures a project’s goals and specifics so the AI retains full context across sessions. Designed around deliberate context and token management.
LLM-Agnostic File-Structure Framework
Portable, model-agnostic knowledge framework so any LLM can operate reliably over a structured file system.
LLM Agents & MCP Tooling
Model Context Protocol servers and Claude/ADK agents for automated task orchestration, daily briefings, and Slack workflows.
Education
Ph.D., Bioinformatics
University of Georgia
2024
B.S., Mathematics
Clark Atlanta University
2017
Experience
Deputy Director
Morehouse Supercomputing Facility
2025–Present
Founder & Technical Lead
Quiet Stack
2025–Present
Faculty Fellow
AUC Data Science Initiative
2024–Present
Research Fellow
University of Georgia
2017–2024
Technical Skills
Languages
Python, SQL, TypeScript/Node, LaTeX
ML & AI
scikit-learn, TensorFlow/Keras, PyTorch, CNNs, graph neural networks, NLP, computer vision, forecasting
LLM & Agents
Claude API (tool use), Model Context Protocol (MCP) servers, Google Agent Development Kit, prompt engineering
HPC & Cloud
NVIDIA Grace Hopper (GPU) and Grace-Grace (CPU) supercomputing, SLURM, GPU/CUDA, JupyterHub, Docker, Google Cloud Run, Supabase/Firebase
AI Governance
cryptographic provenance, immutable audit logging, ALCOA+ documentation, multi-agent QA
Research Interests
Machine Learning
Developing machine learning solutions for real-world problems, with emphasis on research that leads to practical utility and measurable impact.
Blockchain Technologies
Researching blockchain utility in security, regulation, and compliance for AI systems, exploring how distributed ledger technology can solve real-world verification and transparency challenges.
Computational Biology & Bioinformatics
Developing computational methods for analyzing genetic regulatory networks, with a focus on gene duplication and subnetwork motif counting using combinatorial probability.
High Performance Computing
Leveraging supercomputers to accelerate scientific computing, training ML models at scale, and enabling computationally intensive research.
Teaching and Mentoring
Lead Instructor, Summer Bridge Experience (SBX)
• Morehouse College(Summer 2025)Led 6-week pre-freshman program for computing science majors: 3-week Python bootcamp, 3-week capstone projects; led team of 3 instructors and 1 TA; introduced students to HPC; mentored 20 students on 20 research projects.
Lead Instructor, Machine Learning Postbaccalaureate Program
• Morehouse College(Summer 2025)Led 12-week program: 3-week Python bootcamp, 6-week ML fundamentals using HPC/supercomputing, 3-week capstone projects; led team of 3 instructors and 1 TA; mentored 15 students on 13 research projects.
Workshop Organizer, InSPIRE Workshop
• Morehouse College(Summer 2025)Created agenda, recruited presenters, managed workshop on Whova, coordinated site visits and hotel logistics; brought 31 students (15 ML, 16 SBX) to present at workshop.
Workshop Instructor, Python for Beginners
• AUC Data Science Initiative(March 2025)Taught 40+ attendees including HBCU Data Science Influencers' Cohort; covered Python fundamentals, pandas, and matplotlib using real-world dataset focused on Black-owned businesses.
Collaborator, Faculty Development Summer Institute
• AUC Data Science Initiative(May 2025)Helped plan week-long institute to build HBCU data science capacity; led Python programming workshops; facilitated faculty course development for data science integration.
Collaborator, Faculty Development Winter Institute
• AUC Data Science Initiative(December 2025)Helped plan institute; led programming workshop; assisted faculty in incorporating data science into their curricula.
REU Recruiter and Mentor
• Fungal Genomics and Computational Biology, UGA(2018–2022)STEM Program Coordinator
• Clark Atlanta University(Summer 2017)Mathematics Tutor
• Clark Atlanta University Math Lab(2013–2017)Curriculum Development
Summer Bridge Experience (SBX)
• Morehouse College(Summer 2025)Machine Learning Postbaccalaureate Program
• Morehouse College(Summer 2025)Introduction to Machine Learning
• AUC Data Science Initiative(2024–2025)Python for Data Science
• AUC Data Science Initiative(2024–2025)Natural Language Processing for Data Science
• AUC Data Science Initiative(2024–2025)Data Visualizations and Communications using Python
• AUC Data Science Initiative(2024–2025)Grants and Fellowships
- •NIH T32 Genetics Training Grant, University of Georgia
- •University of Georgia Quantitative Bioinformatics Training Grant
Academic Output
Publications
Counting subnetworks under gene duplication in genetic regulatory networks
Scruse, A., Arnold, J., & Robinson, R.
Bulletin of Mathematical Biology, 88(3), 31
2026
Counting subnetworks under gene duplication in genetic regulatory networks
Scruse, A., Arnold, J., & Robinson, R.
arXiv
2024
Ensemble Methods for Identifying RNA Operons and Regulons in the Clock Network of Neurospora Crassa
Al-Omari, A.M., Griffith, J., Scruse, A., Robinson, R., Schuttler, H.-B., & Arnold, J.
IEEE Access, vol. 10, pp. 32510–32524
2022