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The SFU Omics research day is an opportunity to showcase the great omics research happening at SFU. This full day event will feature oral presentations, poster presentations, and a keynote presentation about data-driven biology and the interdisciplinary fields that stem from it. This event is open to SFU students, staff, faculty, and alumni.
LINK FOR WEBCAST OF OUR KEYNOTE SPEAKERS:
LINK FOR PROGRAMME FOR RESEARCH DAY 2020:
https://vault.sfu.ca/index.php/s/bqgjYJ8u3xRXC59
Time + Place:
Time + Place:
Friday February 7th, 2020 at the Big Data Hub. Opening remarks at 11:00am. Sign-in/registration starts at 10:30am*
Friday February 7th, 2020 at the Big Data Hub. Opening remarks at 11:00am. Sign-in/registration starts at 10:30am*
Registration:
The event is free, but registration is required. Registration will close on Friday January 31st, 2020 at 11:59pm. To register, please fill out the following form:
Note: if you are planning on submitting an abstract, it is the same form and you do not need to fill in the form twice. Make sure to submit your abstract by the abstract submission deadline.
Presentations & Abstract Submissions:
Throughout the day, there will be different presentations showcasing Omics research.
If you would like to share your omics research with the SFU community, you have two options:
(1) Oral presentation - These talks will be 3 minutes or 10 minutes long, with additional time allotted for questions.
(2) Poster presentation - Posters will be displayed throughout the day and there will be a designated poster session.
Abstracts will be peer-reviewed and adjudged by the faculty members of the ODSI Management Committee. On top of expected criteria, such as clarity, relevance, and impact, we will try our best to ensure that there is diversity in the chosen talks. Specifically, since Omics is heavily interdisciplinary, we will try to ensure that there is a fair representation across the spectrum of disciplines.
The abstract submission deadline is Monday January 20th, 2020 at 11:59PM, please submit your abstract here: bit.ly/sfu-omics-registration. Please note we have a 2000-character limit for the abstract submission.
**Please note, abstract submissions for talks have already closed.
Late Breaking Poster Presentations
If you are still interested in submitting a poster abstract, please register with the above link and indicate you would like to present a poster. The registration deadline for poster is January 31st, 2020.
We will notify selected presenters for oral presentation by Monday, January 27th, 2020 and poster presentation by Friday, January 31st, 2020.
Keynote Speaker:
Keynote Speaker:
Dr. William S. Noble (Website)
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.
Biography: Dr. William Noble has made outstanding contributions to the field of genome sciences, where he is the author of over 230 peer-reviewed publications. He is one of the pioneers that has successfully applied statistical and machine learning techniques to genomics and proteomics data to unravel key structures from complex biological interactions. As an exemplary interdisciplinary omics researcher, his team has continually applied cutting edge computational techniques to identify patterns in DNA structures, protein function, gene expression and other cellular processes. From their early days of applying support vector machines for protein classification and homology detection to the more recent annotation of higher-order functional domains at the ENCODE Project Consortium, his team's work has propelled omics field forward. His current research involves training deep neural networks with single-cell genomics and proteomics data to identify important patterns during development. His contributions to computational biology and genome sciences have been well-recognized globally; Dr. Noble is the recipient of the 2019 International Society Computational Biology Innovator Award and NSF CAREER award. Aside from his extensive contributions to omics research, he is also an incredible mentor to over 27 postdoctoral fellow and 24 graduate students. His positive impact on trainees has been recognized by the University of Washington Postdoctoral Association, where he was awarded the Postdoc Mentor of the Year Award. SFU Omics is honored to present Dr. Noble as our Keynote Speaker for our 2nd Annual Research Day.
Featured SFU Faculty:
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:
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:
Schedule:
10:30 – 11:00am Registration Opens
Big Data Hub Atrium
Refreshments provided.
11:00 – 12:00pm Opening Remarks & Keynote Presentation
Presentation Studio (ASB10900)
Dr. William Noble from University of Washington
12:00 – 1:00pm Poster Session & Lunch Break
Big Data Hub Atrium
Food provided.
1:00 – 1:30pm Featured Faculty Talk
Presentation Studio (ASB10900)
Dr. Tania Bubela, Dean of the Faculty of Health Sciences
1:30 – 2:30pm Student Talks Session One
Presentation Studio (ASB10900)
1:30 - Alice Yue
1:35 - Jeffrey van Santen
1:40 - Casey Engstrom
1:45 - Eugene Hu
2:00 - Nafiseh Sedaghat
2:15 - Christopher Rushton
2:30 – 2:45pm Coffee Break
Big Data Hub Atrium
Refreshments provided.
2:45 – 3:30pm Student Talks Session Two
Presentation Studio (ASB10900)
2:45 - Nicole Knoetze
3:00 - Nadya Calderon
3:15 - Sneha Ralli
3:20 - Habib Daneshpajouh
3:25 - Justin Jia
3:30 – 4:15pm Career Panel Discussion
Presentation Studio (ASB10900)
Panel discussion with professionals from academia, government, and industry.
Dr. Adam Warner - Ocean Wise Research Institute: Marine Mammal Research Team, Conservation Genetics Research Scientist
Dr. William Noble - University of Washington, Professor and Keynote Speaker
Dr. Amy Lee - Simon Fraser University, Assistant Professor, Molecular Biology and Biochemistry
Sam Hinshaw - AbCellera, Software Developer and Data Visualization
Dr. Tania Bubela - Simon Fraser University, Dean of Health Sciences (tentative)
4:15 – 5:00pm Reception
Atrium/Flexible Meeting Room
Networking session combined with reception.
Questions:
If you have any questions, feedback, or comments, please feel free to email us at sfu-omics-organizers@sfu.ca
Sponsors:
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