Designing intelligent systems for viral discovery
I'm Alan Carbajo, a researcher at Wayne State University School of Medicine working with Dr. Phil Pellett to explore how machine learning can accelerate breakthroughs in virology and genomic design.
- Generative DNA design workflows guided by deep learning
- Predictive models that capture viral behavior and tropism
- Interactive data visualizations that tell scientific stories
Mapping latent genomic representations for antiviral discovery.
Exploring the intersection of artificial intelligence and virology
This journal documents experiments, prototypes, and reflections from my work designing computational tools for virology. I share lessons from the lab, notes from current projects, and ideas that push the boundaries of how we model and design biological systems.
Scientific storytelling
I translate complex datasets into intuitive visual narratives—bridging researchers, clinicians, and broader audiences with interactive dashboards and exploratory tools.
Systems thinking
By combining genomics, epidemiology, and machine learning, I develop end-to-end workflows that move from raw sequencing data to actionable hypotheses and design insights.
Machine learning
Designing advanced models that learn latent viral patterns and predict phenotypic behavior.
Viral genomics
Generating and analyzing viral genomes with neural networks for design and discovery.
Epidemiology
Modeling population-level spread to inform responses during outbreaks and emerging threats.
Putting intelligent pipelines into practice
Selected work that blends computational research, design, and scientific communication.
Cardiac Physiology Action Potential Sandbox
An interactive cardiac electrophysiology playground to explore ion-channel effects, drug presets, pacing, and ECGs.
COVID-19 Case Prediction Model Comparison
A COVID-19 case prediction model comparing LSTM/GRU, ARIMA, Random Forest, and XGBoost algorithms.
Notes, experiments, and observations from the lab
Insights on AI-driven biology, research tooling, and the craft of storytelling.
Migration Patterns Behind HCMV Diversity
Can ancient migration patterns explain the geographic diversity of HCMV and help us better understand varying tolerances to herpesvirus infection?
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