Christine Swisher

About Christine Swisher

I enjoy tackling the hard problems and doing them well, building AI and data solutions that embody the ethos of “Do no harm - and the most good”. Notably, the AI solutions my team has built saved lives that would otherwise have been lost, while also enhancing health economics and the clinical experience and accelerating discovery.My expertise includes growing productive and thriving teams with a people-first approach, empowering patients and clinicians via data insights, driving the full AI life cycle from idea to meaningful impact, igniting innovation in organizations, and being a strategic and systems thinker focused on meaningful impact at scale. Let\'s collaborate to create a better world.

Experience

1. Vice President, Ai and Applied Science

   Oracle

   Apr 2024 — Present

   AI & Applied Science Leader | Population Health, Real-World Data, Clinical Research, and Life Sciences-Lead Applied Science and AI strategy across flagship platforms and products, including:• Life Science Intelligence Suite• Health AI Data Platform• Life Science AI Data Platform• Clinical Intelligence Suite• (EMR-agnostic) Care Coordination Companion App-Notable Innovations and Core Expertise Areas:AI Infrastructure and Research Platforms• AI researcher platform integrating 200+ specialized biomedical and health data tools with multi-agent orchestration,\"AI scientist\" agent planning, and agent based data exploration• Retrieval and enrichment agents for structured, semi-structured, and unstructured data using retrieval-augmented generation (RAG) and knowledge graph integration• AIOps capabilities such as observability, agents-as-judges, annotation systems, and continuous evaluation frameworksAI Methods Advances• Domain-specific foundation models and multimodal architectures spanning text, tabular, imaging, and genomic data• Causal inference and counterfactual learning methods for real-world evidence generation, study design, and clinical trial optimizationAutonomous and Collaborative AI Systems• Autonomous agent workflows for care coordination, clinical reasoning and decision support, and data enrichment• Human-AI collaboration frameworks, transparency and interpretability UX, and benchmarking systems for high-complexity healthcare and life science applications

Education

• Stanford University

  Exchange Student , Computer Science

• Arizona State University

  BSE/MS, Biomedical engineering

• Harvard Medical School - Massachusetts General Hospital

  National Institute of Health (NIH) grant awardee | Fellow

• University of California, Berkeley

  Doctor of Philosophy (Ph.D.), Bioengineering (Joint with UCSF)

• University of California, San Francisco

  Doctor of Philosophy (Ph.D.), Bioengineering (Joint with UC Berkeley)

Skills

• Physics
• Compressed Sensing
• Leadership
• Mri
• Image Processing
• Cell Culture
• Science
• Signal Processing
• Cancer Research
• Statistics
• Oncology
• Biomaterials
• Bioengineering
• Research
• Matlab
• Spectroscopy
• Medical Imaging
• Nonlinear Dynamics
• Biomedical Engineering
• Programming
• Machine Learning
• Clinical Trials
• Deep Learning