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Steering Committee

Khyzer Aziz, MD

Baltimore, MD

  • Standardization and interoperability of neonatal data 
  • Clinical decision support
  • Data extraction and analytics 

James Barry, MD, MBA

Denver, CO

  •  Transform healthcare data into actionable insights 
  • Using AI tools to assist NICU clinicians and improve patient outcomes 

Kristyn Beam, MD, MPH

Boston, MA

  • Predictive analytics
  • Large language models (LLMs)
  • Computer vision
  • Clinical decision support
  • Implementation science 


Nicholas Carr, DO

Provo, UT

  • Neonatal transport and telehealth systems 
  • Machine learning for ventilation and extubation prediction 
  • Predictive analytics for ECMO outcomes 

Kevin Dysart, MD, MBI

Philadelphia, PA

  • Large-dataset research using EHR and physiology data 
  • Machine learning for neonatal clinical discovery 
  • Data-driven approaches to neonatal care improvement 

George El-Ferzli, MD

Columbus, OH

  • Building neonatal precision medicine innovation ecosystem 
  • Advancing artificial intelligence and device development 
  • Innovation-focused fellowship education curriculum 


Antonio Hernandez, MD

San Antonio, TX

  •  NICU documentation and billing optimization 
  •  Neonatal outreach and regional collaboration 
  • Integration of clinical decision support tools

Thomas Hooven, MD

Pittsburgh, PA

  • Neonatal-bacterial interactions
  • Sepsis prediction
  • NEC and NEC prediction
  • Fellow education

Ameena Husain, DO

Salt Lake City , UT

  • Clinical informatics
  • EHR data structures and utilization
  • AI clinical integration
  • Harnessing continuous data streams and clinical data for predictive analytics


Lindsey Knake, MD, MS

Iowa City, IA

  • Epic Cosmos
  • Clinical decision support
  • LLMs and clinical AI tools
  • Predictive modeling for neonatal extubation success 

Ryan McAdams, MD

Madison, WI

  • Medical education
  • Innovation
  • Safety and ethics
  • Image generation 

Alvaro Moreira, MD, MSc, MS

San Antonio , TX

  • Bioinformatics
  • Predictive modeling
  • Developing data-driven tools for clinicians


Shama Patel, MD, MPH

Columbus, OH

  • Neonatal critical care with technology integration 
  • Workflow optimization and documentation standardization 
  • Improving physician efficiency and satisfaction
  • Applied clinical informatics in neonatology 

Kelsey Simek, MD

Salt Lake City, UT

  • Quality Improvement
  • LLMs
  • Trust and human factors 

Brynne Sullivan, MD, MSc

Charlottesville , VA

  • Predictive monitoring for NEC and sepsis
  • Pulse oximetry warning score for neonatal opiod withdrawal syndrome
  • Physiomarkers


Zachary Vesoulis, MD, MSCI

St. Louis, MO

  • Neonatal brain injury
  • Developing tools to improve long-term neonatal outcomes 
  • Deep learning models to predict neonatal outcomes

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