Biomedical Data Science Research

Our lab focuses on developing novel data science and machine learning methods in the broad areas of causal inference, domain adaptation, and signal processing within the application areas of trauma, transplant, sepsis, and organ dysfunction (such as respiratory failure and neurologic disorders). 

We utilize multi-modal data streams, including multi-omics data (genomics, transcriptomics, metabolomics & proteomics), along with physiological waveforms to study the onset and host resilience to acute and critical illness.

Our lab is passionate about addressing key grand challenges in biomedical data sciences, particularly focusing on dynamic and time-critical environments such as in Intensive Care Units (ICUs), Perioperative and Transplant Medicine. 

Join us in our tireless endeavor to prevent the progression of life-threatening critical illnesses across the lifespan!