Big Data Analytics and Health Informatics

Institutes, centers and labs related to Big Data Analytics and Health Informatics

MRI Brain Scan

Brain Image Computing Lab

Develops computational neuro-informatics methods to analyze imaging for characterizing physiological, molecular and pathological phenotypes to predict patient outcome and evaluate response to treatment.

MRI Scans

INVent Lab

Develops novel medical image analytics and machine learning tools for disease diagnosis, intervention and treatment evaluation

Faculty who conduct research in Big Data Analytics and Health Informatics

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Mehdi Alilou

Research Assistant Professor, Biomedical Engineering

Alilou’s research focuses on applying computer vision and machine learning techniques to analyze chest CT scans automatically. The resulting technology aids radiologists and pathologists with automatic detection, quantification, diagnosis, and treatment response prediction of lung cancer and other lung diseases.

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Vipin Chaudhary

Department Chair, Computer and Data Sciences Department
Kevin J. Kranzusch Professor
Professor, Computer and Data Sciences Department

High Performance Computing and Applications to Science, Engineering, Biology, and Medicine; Artificial Intelligence/Machine Learning/Data Science; Computer Assisted Diagnosis and Interventions; Medical Image Processing; Computer Architecture; Quantum Computing.

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Colin Drummond

Assistant Department Chair, Biomedical Engineering
Professor, Biomedical Engineering

Fosters the application of informatics to improve clinical decision-making for patient care

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Anant Madabhushi

Donnell Institute Professorship
Professor, Biomedical Engineering
Director, Center for Computational Imaging and Personalized Diagnostics

Develops and translates computational imaging, AI and machine learning approaches for precision-medicine diagnosis, prognosis, treatment response and prediction

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Cameron McIntyre

School of Medicine campus
Professor, Biomedical Engineering

Engineers the next generation of neuromodulation technology

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Pallavi Tiwari

Assistant Professor, Biomedical Engineering

Develops neuroinformatics techniques for applications in brain tumors and neurological disorders

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Satish Viswanath

School of Medicine campus
Assistant Professor, Biomedical Engineering

develops novel medical image analysis and machine learning tools for targeting and evaluating interventions