Presenter: Ravi Patel, Pharm D

The University of Pittsburgh School of Pharmacy is connecting data and design to address the numerous opportunities to improve healthcare. Leveraging design-thinking, collaborations across the University, and partnerships with external partners the School of Pharmacy is engaging across a variety of projects to leverage the scale of technology to improve healthcare.


Presenter: Milos Hauskrecht, PhD

In this talk, I present a clinical monitoring and alerting framework that aims to identify unusual patient management actions in electronic health record data.  Our hypothesis is that patient-management actions that are unusual with respect to past patients may be due to medical errors and that it is worthwhile to raise an alert if such a condition is encountered prospectively.

Presenter: Pengtao Xie, PhD

With the rapid growth of electronic health records and the advancement of machine learning technologies, needs for AI-enabled clinical decision-making support is emerging.

Presenter: Carolyn Rose, PhD

Effective exchange of information in doctor-patient conversations is critical for building trust and compliance with medical advice.  In our past work, we have explored how patterns of information flow practices within doctor-patient interactions predict self-reported measures of trust from patients.  Now we are building on extensive work modeling consensus-building practices in conversational interactions to work towards a conversational mea

Presenter: Wilbert van Panhuis, MD, PhD

Infectious disease modelers depend on real-world data to create model estimates of infectious disease transmission and control interventions. Modelers often collect data from multiple sources, such as population demographics, disease surveillance, vaccination programs, etc. and integrate data into one model to inform health policy.

Presenter: Michael Becich, MD, PhD/Jonathan Silverstein, MD/Shyam Visweswaran, MD, PhD

DBMI’s Research Informatics Office (RIO, see

Presenter: Franz Franchetti, PhD

In this talk I will first discuss the state of computing technology and the fast pace of change due to Moore's law, and set this into context of the time scale of other computing developments like algorithms and computer languages. I will show the impact on solvable computing problems at various computing scales.

Presenter: Xinghua Lu, MD, PhD

Cancer is mainly caused by somatic genome alterations that perturb cellular signaling pathways, and it is anticipated that precisely targeting patient-specific genomic alterations of individual tumors (precision oncology) will lead to more effective therapies.