Computational Genomics #2
Open Source Tools for Applying Deep Learning in Genomic Data Analysis.
Our second computational genomics event features the work of Avanti Shrikumar and Johnny Israeli, who both worked in the Kundaje Lab at Stanford University. They respectfully developed Deep Lift and DragoNN, both open source Deep Learning tools for genomic data analysis.
Note: By signing up for this event, you will automatically be added to future SVAI announcements.
Two ~25 Minute talks + Q&A.
6:30PM: Doors Open
7:05PM: Talks + Q&A
8:30PM: Make Some New Friends
9:00PM: Doors Close
We will be recording the talks.
BART: 0.5 miles from Embarcadero Station. Map
FOOD & DRINKS
Yes! Provided by Google Launchpad.
CODE OF CONDUCT
Our conference is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), or technology choices. We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks, workshops, parties, Twitter and other online media. Conference participants violating these rules may be sanctioned or expelled from the conference without a refund at the discretion of the conference organizers. For full version, please see: confcodeofconduct.com. Please let us know if you have experienced or witnessed any form of harassment or any other concerns that you have experienced or witnessed. Report Harassment.
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By signing up for this event, you will automatically be added to SVAI's future communications.
We do not make announcements for non-SVAI events or conferences at our gatherings. Distribution of flyers, printed media or other non SVAI related materials is not allowed at our events.
This gathering is limited to 100 people. You MUST be pre-registered to attend. Registration must include your First and Last name, and some of our venues require ID for entry. You do not need to print a paper ticket. We will be checking people in the building lobby.
We have a pretty thorough FAQ, please check it out here: FAQ.