SOLVING PROBLEMS
Every project begins with a question. These are the problems I'm actively researching — exploring AI, data, and software to find solutions that matter.
Genome×AI
Decoding Humanity - AI × Human GENOME
Investigating the intersection of artificial intelligence and genomic science. Building interactive simulations to visualize how deep learning models interpret DNA sequences and variant pathogenicity.
GeneMapr
Genomic Variant Interpretation Platform
Building a clinical-grade platform for genomic variant interpretation. Combines VCF parsing with multi-database annotation (ClinVar, gnomAD, Ensembl) and Google DeepMind's AlphaGenome for AI-powered variant effect predictions and pharmacogenomic profiling.
PathoAssist
AI-Powered Pathology Analysis
Researching the application of MedGemma (Google's medical AI model) to assist pathologists in analyzing tissue samples. Exploring multimodal prompting, structured report generation, and confidence scoring for clinical workflows.
BioMotionPro
Professional Biomechanics Analysis
Developing an open-source biomechanics tool for macOS using Metal for real-time 3D skeleton rendering. Research focus includes efficient C3D/TRC file parsing, kinematics analysis, and Apple Silicon optimization.
Sports Intelligence Platforms
Data Architecture for 20+ Sports
At Hawk-Eye Innovations, researching scalable data architectures for real-time sports analytics. Areas include ML-driven predictive insights, biomechanics tracking for athletes, and automated broadcast visualizations.
AI Intelligence Aggregation
Research-Grade News Synthesis
Exploring techniques to aggregate, deduplicate, and synthesize AI news from multiple sources (ArXiv, Hacker News, Techmeme, YouTube). Research includes content ranking algorithms and semantic clustering.
Interested in collaborating on research?
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