Resume
Computer Science Student | Human-AI Teaming Researcher
Education
Clemson University
Bachelor of Science in Computer Science
Expected Graduation: 2027 | Clemson, SC
Relevant Coursework: Data Structures & Algorithms, Machine Learning, Human-Computer Interaction, Software Engineering, Cybersecurity Fundamentals, Database Systems
Honors: Military Child of the Year 2024, AP Capstone Diploma
Research Experience
Undergraduate Researcher
TRACE Research Group, Clemson University | Aug 2024 - Present
- Conduct research on human-AI teaming and trust in autonomous systems under Dr. Nathan McNeese
- Published paper at HFES 2024 on training methods for human-AI teams in high-stakes environments
- Collaborate with NATO defense researchers on autonomous vessel operations and navigation systems
- Analyze team performance metrics and develop frameworks for effective human-agent collaboration
Research Apprentice
TigerSec Laboratory, Clemson University | Sep 2025 - Present
- Explore cybersecurity challenges in autonomous systems and IoT devices
- Conduct vulnerability assessments and develop secure system architectures
- Research privacy-preserving technologies and encrypted data analysis methods
Research Collaborator
Independent Research Projects | 2021 - 2024
- Co-authored paper on COVID-19 misinformation detection using NLP and machine learning (AAAI 2021)
- Developed deep learning model for Chagas disease detection in microscopy images (98.9% accuracy)
- Published in international journal on AI applications in neglected tropical disease diagnosis (2025)
Work Experience
Makerspace Assistant
Clemson University Makerspace | Jan 2024 - Jun 2025 | Part-time
- Assisted 100+ students with 3D printers, laser cutters, embroidery machines, and other fabrication equipment
- Maintained and updated cumaker.space website with React and modern web technologies
- Planned and executed 15+ workshops to increase student engagement and technical literacy
- Troubleshot equipment issues and provided technical training to new users
Technical Skills
Programming Languages
- Proficient: Python, JavaScript, Java, HTML/CSS
- Familiar: C++, R, SQL, TypeScript, Bash
Frameworks & Libraries
- Web Development: React, Node.js, Express.js, Flask, Django
- Machine Learning: TensorFlow, PyTorch, scikit-learn, Keras, pandas, NumPy
- Data Science: Matplotlib, Seaborn, Jupyter, R Markdown
Tools & Technologies
- Version Control: Git, GitHub, GitLab
- Cloud & DevOps: AWS, Docker, CI/CD, Linux
- Databases: PostgreSQL, MongoDB, MySQL, Firebase
- Design: Figma, Adobe XD, CAD (Fusion 360)
Research Methods
- Experimental design and statistical analysis
- Natural Language Processing (NLP)
- Computer vision and image classification
- Human-Computer Interaction (HCI) evaluation
Selected Publications
Galeano, A., McNeese, N. J. (2024). "Enhancing Human-AI Team Performance Through Targeted Training Interventions." Proceedings of the Human Factors and Ergonomics Society Annual Meeting.
Smith, J., Galeano, A., et al. (2025). "Deep Learning-Based Diagnosis of Chagas Disease from Microscopy Images." International Journal of Medical Informatics.
Galeano, A., Johnson, R. (2021). "Machine Learning Approaches to COVID-19 Misinformation Detection on Social Media." AAAI Spring Symposium Series.
Awards & Recognition
- NASA Space Apps Challenge Winner (2025) - FLARESat satellite monitoring platform
- Military Child of the Year (2024) - National recognition for academic excellence and leadership
- AP Capstone Diploma (2023) - Advanced academic research credential
- HFES Conference Presenter (2024) - Human-AI teaming research
- NATO Research Contributor (2024) - Autonomous vessel operations
- AAAI Publication (2021) - COVID-19 misinformation research
Languages
- English - Native proficiency
- German - Professional working proficiency
Let's Connect
Interested in collaborating or have an opportunity to discuss?