I am a tenured Professor of Biomedical Informatics and Vice Chair of Clinical Informatics with training in biomedical informatics, artificial intelligence (AI) and clinical neurology. My research include the application of AI to biomedicine with a specific focus on patient-specific modeling, causal discovery from biomedical data, AI-based clinical decision support, research-data warehousing, and ontology development.

The Vis Lab is in the Department of Biomedical Informatics at the University of Pittsburgh and is affiliated with the Intelligent Systems Program and the Clinical and Translational Science Institute.

My responsibilities include:

• Director, Center for Clinical Artificial Intelligence (CCAI)
• Co-organizer, Machine Learning in Medicine Seminar Series
• Director, Biomedical Informatics Core of the University of Pittsburgh Clinical and Translational Science Institute (CTSI)
• PD/PI, NCATS' ENACT network
• PD/PI, NIH’s All of Us Pennsylvania

You can find more information about my research, publications, resources, members of my lab, and teaching. You can also find more information in my Google Scholar profile, my PubMed profile, my ORCiD iD, my Curriculum Vitae, and my NIH biosketch.

• 2023 July New preprint titled Clinical Algorithms with Race: An Online Database. See associated database Clinical Algorithms with Race.

• 2020 June Presented “Introduction to ACT and the ACT COVID Network” with Doug MacFadden and Shawn Murphy at the i2b2 tranSMART Foundation's 2020 Harvard Virtual Conference. (June 12, 2020)

• 2020 May Presented Using the ACT network to gain insight into COVID-19 with Lee Nadler, Doug MacFadden and Shawn Murphy in the AMIA COVID-19 Webinar Series. (May 21, 2020)

• 2020 March Chaired the “Research Data Warehousing (RDW)” panel discussion at the CTSA Informatics Virtual Meeting. (March 27, 2020)

• 2019 November Participated in the “Curating EHR data in the All of Us Research Program” panel discussion at the AMIA Annual Symposium, Washington, DC. (November 19, 2019)

• 2019 June Andy King presented his dissertation work on the Learning EMR project the at the NLM Informatics Training Conference 2019 Indianapolis for which he won the Best Focus Session Presentation. (June 24 and 25, 2019)

• 2019 June Presented the Learning EMR project at the CLIC Unmeeting on Machine Learning & Artificial Intelligence Applications In Translational Science at Rochester, NY. (June 1, 2019)

• 2019 May Gave a talk on the Learning EMR project titled “Using Eye-Tracking to Support a Learning Electronic Medical Record System” at the AMIA 2019 Clinical Informatics Conference at Atlanta, GA. (May 19 to 21, 2019)

• 2018 May Pittwire's article on the All of Us Research Program and the University of Pittsburgh's All of Us Pennsylvania Research Program.

• 2018 May Press on the national launch of the All of Us Research Program and the University of Pittsburgh's All of Us Pennsylvania Research Program.

• 2018 Mar Amin Tajgardoon won first place in the AMIA Informatics Summit Clinical Research Informatics Student Paper Competition for his paper on a novel representation of vaccine efficacy trial datasets. A novel representation of vaccine efficacy trial datasets for use in computer simulation of vaccination policy. (March 12 to 15, 2018)

• 2017 Jun Eric V Strobl defended his PhD dissertation titled Causal Discovery Under Non-Stationary Feedback on June 23, 2017. Congratulations, Eric!

• 2017 Mar Andrew King won first place in the AMIA Joint Summits Clinical Research Informatics Student Paper Competition for his paper on the use of eye-tracking in understanding clinician use of information in the EMR. Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR. (March 27 to 30, 2017).

• 2016 Nov Eric Strobl was designated a Roth Fellow. These fellowship awards assist University of Pittsburgh medical students to engage in their Scholarly Projects, thus strengthening their career interests in psychiatric, behavioral and brain research. (November 29, 2016).

• 2016 Jul The Clinical and Translational Science Institute (CTSI) at the University of Pittsburgh has been funded for 5 years by a Clinical and Translational Science Award (CTSA). Shyam Visweswaran is a Co-Director of the Biomedical Informatics Core. The goal of the Biomedical Informatics Core is to establish an i2b2-based data repository; and develop and deploy user-friendly, web-based informatics tools such as a Cohort Discovery Tool, a Computable Phenotype Library, and a Data Transfer Tool (13 July 2016).

• 2016 Jul The University of Pittsburgh is funded as one of the Healthcare Provider Organizations for the national All of Us Research Program, which is a historic effort to gather data from 1 million people living in the United States. The goal of the program is to revolutionize how disease is prevented and treated based on individual differences in lifestyle, environment and genetics. The University of Pittsburgh's program, called the All of Us Pennsylvania Research Program, will enroll 120,000 participants. See the University Times and the press release by the University of Pittsburgh (6 July 2016).

• 2016 Jun Ian Wong defended his PhD dissertation titled Biomarker Discovery in Exome Data on June 27, 2016. Congratulations, Ian!

• 2015 Nov Andrew King won the Martin Epstein Award and first place in the American Medical Informatics Association 2015 Student Paper Competition for his paper on a prototype of a learning electronic medical record system. Development and preliminary evaluation of a prototype of a learning electronic medical record system. (November 18 - 20, 2015).

• 2015 Sep Shyam Visweswaran's NLM R01 funded for Development and evaluation of a learning electronic medical record system (15 September 2015).

• 2015 Aug Andrew King won the Best Poster prize for Using decision trees to automatically label data relevant to a patient case for training a learning Electronic Medical Record at the 2015 BMI Training Program Retreat (August 20 and 21, 2015).

• 2015 Apr Eric Strobl successfully defended his masters research project titled Markov blanket ranking using kernel-based conditional dependence measures (April 8, 2015).

• 2015 Jan Shyam Visweswaran is a
  • co-director of CTSI Informatics Component.
  • co-lead of Data Harmonization Working Group for NCATS' Accrual to Clinical Trials (ACT) network.
  • member of data and ontology group for PCORI'S PaTH network.
  • member of algorithms group for BD2K's Center for Causal Discovery (CCD).

• 2014 Aug Collaborative work that resulted in a four-protein serum biomarker panel for early detection of esophageal cancer is described in Science Daily (August 2014).

• 2014 Aug Shyam Visweswaran was awarded the inaugural Hattie Becich Award for Best Teacher at the Department of Biomedical Informatics, University of Pittsburgh (August 21 and 22, 2014).

• 2014 Aug Eric Strobl won the Best Paper prize for Deep multiple kernel learning at the 2014 BMI Training Program Retreat (August 21 and 22, 2014).

• 2014 Jul Matthew Stokes defended his PhD dissertation titled Novel Extensions of Label Propagation for Biomarker Discovery in Genomic Data on July 17, 2014. Congratulations, Matt!

• 2013 Sep Matt Stokes was invited to present his work on Feature selection for biomarker discovery in genome-wide SNP data at the meeting of the NLM Board of Regents (September 10, 2013).

• 2013 Aug Matt Stokes won the Best Paper prize for Application of a spatically-weighed Relief algorithm for ranking genetic predictors of disease at the 2013 BMI Training Program Retreat (August 22 and 23, 2013).

• 2013 Aug Eric Strobl won the Best Poster prize for Deep learning and causal discovery at the 2013 BMI Training Program Retreat (August 22 and 23, 2013).

• 2013 Summer Shyam Visweswaran's take on patient-specific predictive modeling for personalized medicine in PittMed, the University of Pittsburgh School of Magazine (Summer 2013).

• 2012 Jun Collaborative work with Suresh Bhavnani (University of Texas Medical Branch at Galveston) on bipartite visual representation of genetic information is described in Science Daily (June 2012).

• 2012 Jan Shyam Visweswaran is quoted about patient-specific predictive modeling in Better Medicine Through Machine Learning in the Communications of the ACM (Vol. 55 No. 1, January 2012).