"You Belong in AI!" Episode 5 - Chanel Fischetti

"You Belong in AI!" Episode 5 - Chanel Fischetti

In the fifth episode of the "You Belong in AI!" podcast, UCLA ACM AI Outreach interviews Chanel Fischetti (she/her/hers). Chanel is an ER doctor who is also the Chief Medical Officer of Centaur Labs, a company that focuses on cleaning and labeling medical datasets at scale and on demand to improve medical AI for other hospitals or businesses. For the last few months, she has been working remotely during the COVID-19 pandemic at several Yale New Haven Health hospitals in Connecticut. In the fall, she will be joining Brigham and Women's Emergency Department as a clinical instructor, while continuing to work at Centaur Labs. Her passion is medical entrepreneurship and leadership in both a clinical and non-clinical capacity. Chanel's hope is that there will be more female physicians in tech leadership roles in the future, specifically within AI.

In this episode, she discusses the importance of seeking out mentorship, taking risks, and continuing to reach for your dreams, in spite of obstacles or failures along the way. As one of the few female physicians in a leadership position at an AI company, she encourages others not to shy away from roles you may be intimidated by, but rather to seek out these opportunities and to embrace the challenge. Ultimately, she suggests that all listeners take the next step in their journey with a mindset of: "Why not me?" because you never know what growth or experience can come when you stop limiting yourself.

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 Chanel? Make your way to her LinkedIn. Curious about all the amazing things Centaur Labs does? Visit their website.

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Episoder(14)

You Belong in AI! S4 E1 Pedro Silva

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This episode features Natasha Jaques (she/her), a Senior Research Scientist at Google Brain! Natasha received her PhD in Computer Science at MIT in 2019, and she was a part of various research groups ...

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This episode features Kitu Komya (pronouns she/her), a Machine Learning Engineer at O' Reilly Media! Kitu received her Bachelor's degree in Statistics at UCLA in 2018, and she was a part of various re...

6 Okt 202259min

You Belong in AI! S3 E1 Virginia Adams

You Belong in AI! S3 E1 Virginia Adams

This episode features Virginia Adams (pronouns she/her), a Deep Learning Applied Scientist at NVIDIA! Much of her work at NVIDIA revolves around Conversational AI, a branch of AI that focuses on speec...

3 Mai 202228min

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In this episode of UCLA ACM AI's "You Belong in AI!" we will be interviewing Dr. Leshell Hatley. Dr. Hatley (pronouns she/her). Dr. Hatley is an Associate Professor of Computer Science at Coppin State...

7 Apr 202140min

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In this episode of UCLA ACM AI's "You Belong in AI!" we will be interviewing Chinasa Okolo. Chinasa (pronouns she/her) Chinasa is a 3rd year PhD student in computer science at Cornell University. Her ...

22 Feb 202152min

"You Belong in AI!" S2E1- Paco Guzmán

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Welcome to the second season of the "You Belong in AI!" podcast presented by UCLA ACM AI Outreach. In our first episode we will be interviewing Paco Guzman. Paco Guzman(pronouns he/his) is a Research ...

5 Jan 20211h 9min

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In the seventh episode of the "You Belong in AI!" podcast, ACM AI Outreach @ UCLA interviews Jordan Harrod (she/her/hers). Jordan is a PhD student in Medical Engineering and Medical Physics at the Har...

14 Aug 202057min

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