Shyam Visweswaran, MD, PhD (PI of the Vis Lab)

I am a tenured Associate Professor of Biomedical Informatics with training in informatics, artificial intelligence and clinical neurology. My research is focused on the application of artificial intelligence and machine learning to problems in the Learning Health System (LHS) that include:

  • development of a learning Electronic Medical Record (LEMR) system,
  • precision medicine and personalized modeling,
  • reuse of Electronic Medical Record (EMR) data for clinical, translational, and informatics research,
  • data mining and causal discovery from biomedical data, and
  • automated visual analytics.

The Vis Lab is in the Department of Biomedical Informatics at the University of Pittsburgh, and is a core faculty laboratory in the Biomedical Informatics Training Program and the Intelligent Systems Program at the University of Pittsburgh.

My responsibilities include:

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 MyBibliography profile, my Linkedin profile, my ORCID profile, and my Curriculum Vitae.

News

  • 2016 November 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 July 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).

  • 2015 August 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 April Eric Strobl successfully defended his masters research project titled Markov blanket ranking using kernel-based conditional dependence measures (April 8, 2015).
  • 2014 August 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 August 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 August Eric Strobl won the Best Paper prize for Deep multiple kernel learning at the 2014 BMI Training Program Retreat (August 21 and 22, 2014).
  • 2013 September 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 August 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 August 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 June 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).