I am Associate Professor and Chief of Section of Patient Centered Analytics at the MD Anderson Center.
I conduct research to improve the lives of cancer patients by combining patient-reported data with psychometrics, user-centered design, machine learning and big data.
My work focuses on both assessing the impact of interventions which seek to improve processes and outcomes of care using patient-reported assessment measures as well as more fundamental research to develop new assessment methods and modalities to enhance patient care. The latter involves the application of computer adaptive testing, tailored feedback, and machine learning algorithms to improve the accuracy, feasibility, and effectiveness of patient-reported assessments to improve clinical research and care.
I maintain links with the University of Cambridge as Director of Health Assessment and Innovation at the Psychometrics Centre and Health Director of the Concerto Platform. From 2014 until 2018 I was National Institute for Health Research (NIHR) Fellow based at The Healthcare Improvement Studies (THIS) Institute, and College Research Associate at Corpus Christi College, Cambridge. I then moved to Brigham and Women's Hospital and Harvard Medical School as a founding Co-Director of the Patient-Reported Outcomes, Value & Experience (PROVE) Center.
I have talked about how computational techniques including machine learning can be used to transform the use and usefulness of patient-reported data around the world at institutions including NASA, Karolinska Institutet, and Harvard Business School. I deliver in-person training courses on modern psychometrics, big data, and machine learning at the University of Cambridge.