I am Associate Professor and Deputy Chair at the MD Anderson Symptoms Research department and Director of the MD Anderson Center for Innovative Systems in Patient-Reported Data (INSPiRED).
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 and 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 have talked about computational techniques to transform patient data around the world at institutions including Karolinska Institutet and Harvard Business School, and continue to deliver in-person training courses at modern psychometrics, big data, machine learning, and data visualization at the University of Cambridge.