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PhD research: predicting flood risk and flood depth with self-supervised learning on SAR imagery. Remote sensing, physics-informed representation learning and computational hydrology, aimed at insurance risk in data-scarce regions. University of the Witwatersrand.
A Claude Code-native research operating system: 28 specialized research subagents, multi-agent slash-command panels, cited domain knowledge notes, and living memory.
AI-powered medical image analysis using Google's MedGemma 1.5 (4B) — generate structured radiology reports from X-rays, MRI, CT, pathology slides, and more.
Interactive scrollytelling on GenAI workplace adoption, simulated through Schelling's Segregation model and Granovetter's Threshold Theory — when does individual AI use become a collective norm? Emergence Lab research.
Detector-agnostic ML classifier for hit/non-hit identification in Serial Femtosecond X-ray Crystallography (SFX), generalizing across AGIPD, JUNGFRAU 4M, ePix10k, and Eiger4M detectors.
PhD Research Framework for Data-Driven Modeling of Elastic-Plastic Material Behavior. A comprehensive library providing tools for defining, training, and validating neural network-based constitutive models against simulation data.
Native Android (Kotlin + Jetpack Compose) client for XAI-FLOWS — real-time flood-risk monitoring with a background foreground service, SHAP explainability, and full account auth. PhD research project.
RL-powered test prioritization (PPO + MaskablePPO) with an honest engineering writeup: found the agent scoring worse than random, root-caused and fixed it, validated via a 5-seed sweep. Includes a genuine multi-agent AutoGen negotiation layer.
Simulation study of cache architecture tradeoffs under concurrency — partitioned vs LRU vs client affinity, with trace-driven evaluation on Twitter cache workloads
GNN-based analysis of brain functional connectivity from EEG — cognitive workload classification and ADHD detection using GCN/GAT on 19-channel brain networks, with an interactive Dash dashboard.