Research Interests: "I’m a pediatrician in critical care training with a background in bioengineering, pharma R&D, decision science, epidemiology, consulting, and startups. I’m interested in applying computational modeling techniques toward the prediction and prevention of critical illness in children, both inside and outside the PICU."
Research Interests: Computational methods for guiding patient treatment and building robust trustworthy machine learning systems for real-world clinical practice.
Research Interests: Integrating both genomic and phenotypic data, including data from the electronic health record, and applying machine learning and other computational techniques to model pathogenesis, treatment response, and survival in hematologic malignancies
Research Interests: Machine learning/ computer vision techniques in medical imaging, integrating approaches for multimodal medical record data, bias analysis, and natural language processing for electronic medical health records
Research Interests: Machine learning to optimize therapeutics in patient treatment, modeling for adverse event outcomes, and identifying methods to encourage diversity in clinical trials and precision medicine.
Research Interests: Computer vision application to identify and prognosticate traumatic injuries on CT, electronic health record natural language processing, and developing practical risk-stratification tools for bedside use,
Research Interests: Applying machine learning techniques to vascular diagnostic imaging, surgical decisionmaking, and surgical outcomes.
Research Interests: Studying the interactions of different macromolecules at a single molecule level, and specifically the AAA+ superfamily of proteins to understand how forces and can be transmitted between macromolecules to produce dynamic motion.
Research Interest: Computational methods to integrate genomic, clinical, and imaging data for personalized care.
Research Interests: Machine learning and statistical methods, neuroscience, and mathematical modeling.
Research Interests: ML diagnostic and prognostic tests, especially assessing biases that are present within ML diagnostic and prognostic tests and working to improve the performance of these models for underserved populations; also using ML techniques for a variety of applications within precision medicine.
Research Interests: Infectious disease, immunology, digital image processing, machine learning and applied statistical methods
Ju Yeon (Jules) Lee
Research Interests: Clinical informatics, computational genomics, computational epidemiology, public health informatics, social medicine, and queer health.
Research interests: applied statistical methods, machine learning, infectious diseases/immunology
Research Interests: Automated diagnostics, deep learning, computer vision, personalized precision medicine, and neuroscience
Research Interests: translational bioinformatics, clinical informatics, public health informatics, and cardiology
Victoria Valverde Rambaud
Research interests: AI-based diagnostics, AI-based drug discovery, personalized medicine, machine learning, neuroscience
Research Interests: Mining electronic health records using machine learning and natural language processing. Developing artificial intelligence systems for information extraction and decision support.
Research Interests: Using machine learning for a range of biomedical applications, most notably cancer diagnosis and treatment. "I hope to utilize my education in molecular environmental biology and computer science and background as a software engineer to discover solutions to diseases that plague so many of us."
Research Interests: Machine learning, GPU Computing, Neuroscience, Deep Brain Stimulation, Neural Encoding/Decoding
Research Interests: Applications of bioinformatics for diagnostics and therapeutics research and development, proteomics, genomics, computational biology
Research interests: Developing novel methods and informatics tools for genome and transcriptome analysis to improve diagnostics and treatment of diseases
Research Interests: Deep Learning and Single Cell Omics
Research Interests: Developing quantification and AI methods to translate data to meaning to construct and implement proactive, continuous, and preventative health outcomes
Research Interests: Modeling genetic and epigenetic regulatory networks, molecular dynamics, gene therapies
Research interests: artificial intelligence and medical imaging; machine learning and data integration for the prediction of clinical outcomes; cardiothoracic anesthesiology and critical care medicine; perioperative echocardiography.
Hsu-Hang (Eric) Yeh
Research interests: develop models for clinical decision support, utilize machine learning to facilitate clinical research
Research Interests: Cancer evolution; interpretation of whole genome/whole exome sequencing findings; development of informatics tools to track and analyize the causes and consequences of genetic test mis-orders