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"You Belong in AI!" Episode 2 - Luca Soldaini

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Manage episode 312803507 series 3246775
Content provided by UCLA ACM AI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by UCLA ACM AI or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In the second episode of the "You Belong in AI!" podcast, UCLA ACM AI Outreach interviews Luca Soldaini (he/him/his). Luca details his experience as a Computer Science Ph.D. student at Georgetown University, where his dissertation focused on improving access to medical information. He further talks about his current role as an Applied Scientist at Amazon Alexa, where he works on web question answering and natural language understanding, and his interest in natural language processing. Additionally, Luca discusses the importance of representation and inclusion on college campuses and in AI, and ways in which we can improve diversity in AI research. Lastly, he provides advice and words of encouragement to youth from underrepresented groups who are interested in AI but not sure how to get started.

The "You Belong in AI!" podcast is made possible by UCLA ACM AI Outreach. All questions are contributed by Arjun Subramonian (Outreach Director 20-21), Maya Raman (Events Director 20-21), Kai Tota (Outreach/Events Officer 20-21), Jason Jewik (Outreach Officer 20-21), Mat Ruíz (Outreach/Events Officer 20-21), Aman Oberoi (Outreach Officer 20-21), and Nisha McNealis (Outreach Officer 20-21). The podcast is edited by Jason Jewik. The music you hear in this episode is:

Cheery Monday by Kevin MacLeod

Link: https://incompetech.filmmusic.io/song/3495-cheery-monday

License: http://creativecommons.org/licenses/by/4.0/

Want to learn more about UCLA ACM AI Outreach? Visit our website.

Want to learn more about Luca? Make your way to his LinkedIn and/or Twitter. Fun fact: he loves collecting stickers!

  continue reading

14 episodes

Artwork
iconShare
 
Manage episode 312803507 series 3246775
Content provided by UCLA ACM AI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by UCLA ACM AI or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In the second episode of the "You Belong in AI!" podcast, UCLA ACM AI Outreach interviews Luca Soldaini (he/him/his). Luca details his experience as a Computer Science Ph.D. student at Georgetown University, where his dissertation focused on improving access to medical information. He further talks about his current role as an Applied Scientist at Amazon Alexa, where he works on web question answering and natural language understanding, and his interest in natural language processing. Additionally, Luca discusses the importance of representation and inclusion on college campuses and in AI, and ways in which we can improve diversity in AI research. Lastly, he provides advice and words of encouragement to youth from underrepresented groups who are interested in AI but not sure how to get started.

The "You Belong in AI!" podcast is made possible by UCLA ACM AI Outreach. All questions are contributed by Arjun Subramonian (Outreach Director 20-21), Maya Raman (Events Director 20-21), Kai Tota (Outreach/Events Officer 20-21), Jason Jewik (Outreach Officer 20-21), Mat Ruíz (Outreach/Events Officer 20-21), Aman Oberoi (Outreach Officer 20-21), and Nisha McNealis (Outreach Officer 20-21). The podcast is edited by Jason Jewik. The music you hear in this episode is:

Cheery Monday by Kevin MacLeod

Link: https://incompetech.filmmusic.io/song/3495-cheery-monday

License: http://creativecommons.org/licenses/by/4.0/

Want to learn more about UCLA ACM AI Outreach? Visit our website.

Want to learn more about Luca? Make your way to his LinkedIn and/or Twitter. Fun fact: he loves collecting stickers!

  continue reading

14 episodes

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