Health Informatics Invited Speaker Series

The Invited Speaker Series is an extension of our Health Informatics Grand Rounds. In this series, top informaticians from around the country will share their current research with the University of Minnesota informatics community. This series is open to the public.

The series will generally be on Thursdays from 3:30-4:30, but dates and times may vary.

November 26- The Role of Informatics in the Implementation of Population Precision Health

November 26- The Role of Informatics in the Implementation of Population Precision Health

Picture of Marc WilliamsMarc Williams, MD 
Director, Genomic Medicine Institute

November 26
3:30 p.m. - 4:30 p.m.
2-470 Phillips Wangensteen Building
Live Streaming and Recording

This talk will provide a brief overview of the terminology and philosophy of the emerging field of precision health followed by a presentation of the Geisinger Precision Health project, the MyCode Community Health Initiative. The focus will be on the information systems and informatic approaches needed to support a precision health program emphasizing the gaps and opportunities for implementation research.

 

 

October 23-The FASK Algorithm for Cyclic Models, with Applications

October 23-The FASK Algorithm for Cyclic Models, with Applications

Picture of Joe RamseyJoseph Ramsey, Ph.D.
Special Faculty and 
Director of Research Computing
Department of Philosophy Carnegie Mellon University

 

 

October 23
3:30 p.m. - 4:30 p.m.
2-470 Phillips Wagensteen Building
Recording

Synopsis: In this talk, a novel algorithm, FASK ("Fast Adjacency Skewness"), will be discussed, which addresses problems with skewed variables where there may be cycles arbitrarily situated throughout the model. The cycles may either be tight, involving only two variables, or longer cycles involving many variables. Some theory for the algorithms will be discussed, followed by applications to three different domains: (a) fMRI causal modeling, (b) single-cell cytology causal modeling, and (c) simulated diffusion and advection in climate models.

Bio: Dr. Ramsey earned his Ph.D. in Philosophy at the University of California at San Diego, with an emphasis on Cognitive Science. He has worked on many grant-funded projects, beginning with work for NASA Ames on detecting carbonates in rocks using mineral spectra, using a causal algorithm, then on software for natural deduction, and several projects applying causal research to practical scientific problems in various domains, including cell biology, wildfire analysis, and causal analysis of fMRI time series, to give a few. Since 1998 he has been the lead developer on the TETRAD projects, an open source project for causal analysis, where he has designed and implemented many causal search algorithms, several of which have come to be used in the scientific community. He is currently on the Philosophy faculty at Carnegie Mellon University as Director of Research Computing, where he's been since 1998.

 

 

Translational Informatics in Cancer Precision Medicine: Insights from hematologic malignancies and autoimmune disorders

Translational Informatics in Cancer Precision Medicine: Insights from hematologic malignancies and autoimmune disorders

Picture of Matthew BreitensteinMatthew Breitenstein, Ph.D.
Instructor of Informatics Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, Senior Fellow – Institute for Biomedical Informatics (IBI), Senior Fellow – Center for Pharmacoepidemiology, Research & Training (CPeRT), University of Pennsylvania, Philadelphia, PA

 

September 18
3:30 p.m. - 4:30 p.m
2-580 Moos Tower
Recording

This talk will highlight translational informatics approaches for advancing precision medicine knowledge within the cancer control setting. Particularly, where insights obtained from multi-omic comparisons and reverse translation serve as a pivot for treatment personalization or advancing mechanistic/etiologic insights of disease. Scientifically, this talk will be focused within diffuse large B-cell lymphoma and systemic lupus erythematosus, a B-cell malignancy and autoimmune disorder, respectively, and overlapping targeted therapies. A novel pharmacogenomic determinant of response to rituximab identified using translational informatics approaches will be discussed in depth.