Christopher Snyder is a hematopathology fellow and MD-PhD who combines frontline diagnostic expertise in bone marrow/lymph node pathology, high-parameter flow cytometry, and molecular testing with a decade-plus background in biomedical engineering and applied mathematics. He builds and validates AI and LLM-driven tools—using conformal prediction for uncertainty control—to support coding, reporting, and searchable "chat with a PDF" systems that turn complex lab data into actionable workflows. His doctoral work at UT Austin produced deep-learning models for sepsis prediction, histology segmentation, interpretable ECG classifiers, and causal generative models, yielding peer-reviewed publications and invited talks bridging ML and medicine. In residency he led utilization and quality-improvement analytics, prototype dashboards, and an internal LLM-based billing-assignment tool integrated with compliance stakeholders. He focuses on roles that marry hands-on hematopathology with safe, auditable AI deployment—especially in flow cytometry, molecular diagnostics, and digital pathology—and is open to collaborations at that interface. A lesser-known strength is his development of high-dimensional visualization tools in Kaluza to standardize lineage gating and aid manual review.
11 years of coding experience
Doctor of Philosophy - PhD Deep Learning / Biomedical Engineering, Doctor of Philosophy - PhD Deep Learning / Biomedical Engineering at The University of Texas at Austin
Bachelor of Science - BS Double Major: Biomedical Engineering and Applied Mathematics; Minor - Electrical Engineering, Bachelor of Science - BS Double Major: Biomedical Engineering and Applied Mathematics; Minor - Electrical Engineering at Washington University in St. Louis
Doctor of Medicine - MD Medicine, Doctor of Medicine - MD Medicine at The University of Texas Medical Branch
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.