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Natalie and Mantel Group에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Natalie and Mantel Group 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Women in AI APAC Interview Series episode 7 - Kendall Jenner

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Manage episode 364163647 series 2512673
Natalie and Mantel Group에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Natalie and Mantel Group 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Eliiza is teaming up with Jewelrock and Women in AI APAC to run a limited interview series in support of the Women in AI Awards 2023. The series will showcase conversations with a number of thought leaders and subject matter experts across industry and academia in Australia and New Zealand on topics like career, the future of AI technologies and the responsible application of AI.

Our esteemed guests are all representing sponsors of the Women in AI Awards, which will be held on 16th June in Sydney for the APAC region.

Our next guest is Kendall Jenner, Research Assistant at STELaRLab, Lockheed Martin's first research laboratory outside of the US.

Bio:

As a Research Assistant, Kendall performs research into Artificial Intelligence and Machine Learning, investigating the latest developments in the field and how it can be applied to defence applications.

Before entering the workforce, Kendall studied a Bachelor of Science in Theoretical and Experimental Physics at the University of Adelaide, followed by a Masters of Philosophy in machine learning for gravitational wave astrophysics (which is still currently ongoing) with OzGrav – the Australian Research CoE for Gravitational Wave Discovery. Since starting with STELaRLab and Lockheed Martin Australia in the Graduate Program early last year, Kendall has worked on a variety of projects. She has investigated using machine learning for prognostics and health management of aircraft, link prediction in knowledge graphs, creating simulated data for a variety of other projects in the lab, and processing of overhead imagery. She enjoys the variety of tasks that her and her team partake in, and find that the work she does at STELaRLaB is the perfect balance between interesting and exciting state-of-the-art research, and the applications and practicality of implementing new solutions.

Kendall's first introduction to machine learning was during a research internship with the University of Adelaide High Energy Astrophysics group, where the group was tasked with using a random forest classifier to classify blazars, which are a type of active galaxy. This project piqued her interest in AI, and so she pursued a career in it, leading to some extra-curricular activities with Adept at the University of Adelaide, work experience and internships, choice of topic for her postgraduate research degree, and now to her current role with STELaRLab.

Outside of work and university, Kendall is a professional footballer (soccer) for West Torrens Birkalla SC. She enjoys gardening, playing boardgames with friends, and generally doing outdoor activities.

Links:

Kendall Jenner on LinkedIn

  continue reading

53 에피소드

Artwork
icon공유
 
Manage episode 364163647 series 2512673
Natalie and Mantel Group에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Natalie and Mantel Group 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Eliiza is teaming up with Jewelrock and Women in AI APAC to run a limited interview series in support of the Women in AI Awards 2023. The series will showcase conversations with a number of thought leaders and subject matter experts across industry and academia in Australia and New Zealand on topics like career, the future of AI technologies and the responsible application of AI.

Our esteemed guests are all representing sponsors of the Women in AI Awards, which will be held on 16th June in Sydney for the APAC region.

Our next guest is Kendall Jenner, Research Assistant at STELaRLab, Lockheed Martin's first research laboratory outside of the US.

Bio:

As a Research Assistant, Kendall performs research into Artificial Intelligence and Machine Learning, investigating the latest developments in the field and how it can be applied to defence applications.

Before entering the workforce, Kendall studied a Bachelor of Science in Theoretical and Experimental Physics at the University of Adelaide, followed by a Masters of Philosophy in machine learning for gravitational wave astrophysics (which is still currently ongoing) with OzGrav – the Australian Research CoE for Gravitational Wave Discovery. Since starting with STELaRLab and Lockheed Martin Australia in the Graduate Program early last year, Kendall has worked on a variety of projects. She has investigated using machine learning for prognostics and health management of aircraft, link prediction in knowledge graphs, creating simulated data for a variety of other projects in the lab, and processing of overhead imagery. She enjoys the variety of tasks that her and her team partake in, and find that the work she does at STELaRLaB is the perfect balance between interesting and exciting state-of-the-art research, and the applications and practicality of implementing new solutions.

Kendall's first introduction to machine learning was during a research internship with the University of Adelaide High Energy Astrophysics group, where the group was tasked with using a random forest classifier to classify blazars, which are a type of active galaxy. This project piqued her interest in AI, and so she pursued a career in it, leading to some extra-curricular activities with Adept at the University of Adelaide, work experience and internships, choice of topic for her postgraduate research degree, and now to her current role with STELaRLab.

Outside of work and university, Kendall is a professional footballer (soccer) for West Torrens Birkalla SC. She enjoys gardening, playing boardgames with friends, and generally doing outdoor activities.

Links:

Kendall Jenner on LinkedIn

  continue reading

53 에피소드

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