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Please RSVP here and at the partner landing page (https://generalassemb.ly/education/tech-and-public-health-bioimaging-and-machine-learning-at-the-bedside/atlanta/38556).

To find General Assembly, take the switch staircase to the left of West Elm and walk towards the pillar with GA written on it. Click here to see these instructions in gif form. (https://media.giphy.com/media/xUPGcmTdFgRWh8tPvW/giphy.gif)

In this partner event with General Assembly, Dr. Shannon Quinn from UGA will discuss using Python in cutting-edge computational methods for public health.

Addressing public health concerns requires large-scale collaboration, which is impossible without objective baseline assessments and openly-available analytics tools. Biomedical research and subsequent bedside applications have traditionally been siloed and proprietary endeavors. Open source tools and techniques will provide public health officials with powerful methods for addressing critical health concerns.

This talk discusses promising initial results in the area of respiratory disease recognition. It will include an overview of developing an end-to-end Python machine learning workflow to identify abnormalities in biomedical video data. Dr. Quinn's ML pipeline achieved an overall accuracy of 93% in distinguishing normal behavior in biomedical videos from abnormal behavior.

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Click here to see a gif of the cilia (https://media.giphy.com/media/3og0IUJ9wGNgoot07S/giphy.gif)

Bio

Dr. Quinn received his Ph.D. in Computational Biology from the Joint Carnegie Mellon-University of Pittsburgh Ph.D. Program in Computational Biology. His interdisciplinary research group consists of students and collaborators in Computer Science, Bioinformatics, Infectious Diseases, and Ecology. While his primary research focus is the development of scalable imaging tools and algorithms, his group's projects span many different public health applications: mining social media to identify and monitor disease outbreaks, tracking the motion of nasal cilia for pathological insights, and developing novel
computational neuroscience tools to identify markers of neurodegenerative disorders. He is an advocate of Open Science and an active contributor to many open source projects, such as Apache Mahout, Apache Spark, and Apache Flink.

Event details

7:00 Socialize and eat pizza

7:30 Dr. Quinn's talk

8:00 Break

8:10 Q&A Session

8:30 Lightning talks

We'd love to hear your lightning talks (5 minutes or less). If you'd like to give one, please fill out this brief form (https://goo.gl/forms/HpAynnAYdwkILz2g2).

Food/Beverage provided by Codesmith (http://codesmithdev.com/)

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At Codesmith​,​ we​ ​provide consulting, technology, and integrated solutions to our clients to accelerate their key objectives. ​​We have a development shop as well as an IT ​Staffing division to ensure that any and all client needs are ​met​ across the entire US. At Codesmith, we help you succeed in today's changing environment.

Other Announcements

The Southern Data Science Conference is hosting a Spark bootcamp (https://www.meetup.com/PyData-Atlanta/events/240477177/). Use the code PYDATASPARK for 15% off registration.

Sponsors

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Kinetica
Generously sponsored food & drinks for PyData Atlanta meetups
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General Assembly Atlanta
Graciously hosted PyData Atlanta meetups
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MailChimp
MailChimp has hosted us and sponsored food and drinks for several events
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Toptal
Generously sponsored food & drinks for PyData Atlanta meetups
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eHire
Generously sponsored food & drink for PyData Atlanta meetups
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RentPath
Graciously hosted PyData Atlanta meetups
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Metis
Generously sponsored food & drink for PyData Atlanta meetups
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Honeywell
Honeywell Software Center has graciously hosted PyData Atlanta
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Continuum Analytics
Continuum has sponsored food and drinks for the PyData community
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NumFOCUS
Promoting open code for better science
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IBM Data Science
IBM has provided food for several events and a speaker for one event
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Juice Analytics
Juice has sponsored food and drinks for several of our events
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Emory Institute for Quantitative Theory
Hosting, food/drink
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Codesmith
Food/Beverage Support
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Gather
Sponsored high capacity in our virtual meeting space

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