Science Events in Vancouver

Name: SFU Omics Research Day
Start: 2020-02-07T11:00:00-08:00
End: 2020-02-07T17:00:00-08:00
Location: SFU Big Data Hub

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SFU Omics Research Day

February 7, 2020 - 11:00 am - 5:00 pm

The Omics Data Science Initiative responds to the growing needs for computational methods for the study of life sciences, in particular in the areas of public health microbiology and precision medicine.

Keynote Speaker:

Dr. William S. Noble (Website)

Department of Genome Sciences; Department of Computer Science and Engineering.

University of Washington, Seattle, United States

“Learning embeddings of bulk and single-cell genomic data for imputation and multi-omic integration.”

Many machine learning methods work by translating data points from the space in which they reside to a new, latent space of either higher or lower dimension. In this talk, I will describe two settings in which a latent representation can help us make sense of complex genomic data. In one case, we train a deep tensor factorization model to learn latent representations of genomic assay types, cell types and genomic positions. These learned embeddings then turn out to be useful not only for imputing new genomics experiments, but also for a variety of other downstream machine learning tasks. In the second setting, I describe how an unsupervised embedding approach can map diverse types of single-cell measurements into a latent space, effectively providing an in silico co-assay for experiments performed on similar sets of cells but using different experimental techniques.

Featured SFU Faculty:

Dr. Tania Bubela (Website)

Dean of the Faculty of Health Sciences,

Simon Fraser University

“Enabling Precision Oncology in Canadian Health Systems”

In Canada, patient access to precision oncology is variable and limited to a few centres. Precision oncology uses ‘omics (e.g., genomic, transcriptomic) data to select the appropriate therapy independent of cancer type. Patient access to precision oncology will depend on the design and implementation of precision systems that integrate ‘omics data with other health information to support real-time clinical decision-making, evidence generation, and intervention evaluation. This can be considered an application of a Learning Healthcare System. This talk will outline reforms that need to take place in our health systems, regulatory, and reimbursement platforms, policies, and practices to enable decision-making based on new forms of ‘omics evidence and patient access.

Career Panel & Reception:

The reception is going to be a great opportunity for you to learn about the different types of careers that can be pursued in omics! A short career-panel session will kick-off the reception. This will be followed by a more open networking session where you can meet and talk to many interesting people with careers across many different areas. Check back here for more information.

Schedule:

10:30 – 11:00am Registration Opens

Big Data Hub Atrium

Refreshments provided.

11:00 – 12:00pm Opening Remarks & Keynote Presentation