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With Shreya Amin (Data Scientist & Founder, MoreLife.Tech).
Thu, May 23, 2019 @ 06:00 PM   FREE   Metis NYC, 27 E 28th St, 3rd Fl
 
     
 
 
              

    
 
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LOCATION
EVENT DETAILS

Please sign-in at the front door.

This meetup will start with a high-level overview of aging:

1. Why aging?
2. What happens to you as you age?
3. Does every species experience aging or is it just us?
4. [How you are (most likely) going to die]....youre welcome.
5. How is all this happening whats making you age anyway?
6. Cant anyone stop this aging business?

Next, we will discuss some high-level approaches to ending aging & extending life, the role of AI/tech in longevity, why now is the best time to get started, & what you can do about it (you can help & you can help in a big way).

Shreya will then discuss her motivation for starting MoreLife (https://www.morelife.tech/) & explain how you can work on interesting data & engineering projects to help solve one of the biggest problems impacting humankind. We are now at a juncture in the aging field: year over year, there is an exponential increase in data availability, but not necessarily in the availability of data scientists, artificial intelligence practitioners, software engineers, data engineers, machine learning experts, & more. The goal of MoreLife is to bridge this gap between aging research labs & data science / machine learning / engineering expertise.

MoreLife is made up of two groups: experts & volunteers. Experts from the aging sector share a list of problems that are slowing them down. Volunteers, then, try to help eliminate these problems.

MoreLife is inspired by researchers in aging & longevity, folks in tech who dedicate their free time to meaningful projects, & philosophers behind efforts such as DataKind, Code for America, Scikit-Learn & many others.

Check out the meetup here: https://www.meetup.com/Data-Tech-for-longevity/

Shreya's background is in Math & Physics. She has over a decade of experience in data science, data strategy, & data products. She has worked in finance, edtech, civictech, & more. She also has her own data consulting company, under which she consults with edtech organizations, schools, districts, & cities on effectively using their data. She has recently started MoreLife, which is a result of one of her deepest yearnings: for humankind to have an option to live longer & healthier. The mission of MoreLife is to build a network that can help accelerate breakthroughs in aging & longevity.

SCHEDULE
6:00-6:30pm Networking
6:30-7:30pm Talk
7:30-8:00pm Networking

About Metis

Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, & corporate programs based in Seattle, New York, Chicago, & San Francisco.

Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, & more. Students & alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.

Learn more about us at

https://thisismetis.com/

Join our Metis Community Slack channel! Apply here:

http://bit.ly/MetisCommunitySlack

Metis Code of Conduct

Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof).

We do not tolerate harassment of students, staff, or visitors in any form. Sexual language & imagery is not appropriate for any event including talks, workshops, parties, & other online media. Individuals & groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events.

If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously & promptly addressed.

 
 
 
 
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