Postdoctoral Fellow, TEAM-AI Lab, Department of Quantitative and Systems Health Sciences
Tasks
- Architect and evaluate multi site cardiotoxicity risk prediction models
- Conduct model validation and evaluation
- Construct deep language models for clinical natural language processing pipelines
- Coordinate AI and computational phenotyping work streams
- Develop reinforcement learning pipelines for counterfactual disease trajectory simulation
- Engineer semantic knowledge graphs and database query architectures
- Extract standardize and validate common data elements for Alzheimer's disease research
- Integrate structured EHR data with clinical notes using natural language processing
- Lead mixture of experts neural architecture design and implementation
- Publish first author and co author research manuscripts
Perks/Benefits
- N/A
Skills/Tech-stack
Big Data | Big data analytics | Causal Inference | Cross-Attention | Data analytics | Data harmonization | Deep learning | Explainable AI | High Performance | High-Performance Computing | Knowledge graphs | Language Models | Language Processing | Large Language Models | Machine Learning | Mixture of Experts | Model Validation | Multimodal AI | Natural Language | Natural Language Processing | Ontology Engineering | Performance Computing | Reinforcement Learning | Transformers | Uncertainty Quantification
Education
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