Chris Olande

About

Chris Olande works in AI engineering and ML & data science, based in Nairobi, Kenya. Statistician | ML Engineer. Public projects on GitHub include Medical-Research-Assistant (A comprehensive RAG pipeline combining knowledge graphs, vector search, and LLM generation for medical…), CounterFraud-GNN (Causal Temporal Graph Neural Network for invariant fraud detection under distribution shift) and TrialMatch-Agent (LangGraph-powered clinical trial matching agent with eligibility reasoning, ClinicalTrials.gov retrieval,…), mostly written in Python, R and Jupyter.

Projects 6

• github.com

  Medical-Research-Assistant

  A comprehensive RAG pipeline combining knowledge graphs, vector search, and LLM generation for medical document analysis. Features semantic caching, advanced reranking, and modular architecture for scalable knowledge discovery from medical literature.

• github.com

  CounterFraud-GNN

  Causal Temporal Graph Neural Network for invariant fraud detection under distribution shift. Achieves 0.709 AUPRC on S-FFSD.

• github.com

  TrialMatch-Agent

  LangGraph-powered clinical trial matching agent with eligibility reasoning, ClinicalTrials.gov retrieval, PostgreSQL memory, and safety-first reporting.

• github.com

  Australian Rainfall Dynamics

  Hierarchical modeling of Australian rainfall using Zero-Inflated Gamma GLMMs. Addresses the "Zero-Mass" problem via a two-part logistic-Gamma framework. Features wind vector physics, Markov persistence, and Quarto-based diagnostics.

• github.com

  MedReportAI

  A biomedical research agent powered by Retrieval-Augmented Generation (RAG). It leverages PubMed and Tavily for knowledge retrieval, enabling accurate, context-aware medical report synthesis and evaluation.

• github.com

  Machine-Learning-and-Data-Science-Projects

  A Repo with all the Projects I've accomplished so far