Welcome to Outlier Detected, a podcast by the Columbia University Data Science Institute Student Council exclusively dedicated to telling the stories of outstanding individuals in data science.
Outlier Detected
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3 episodes
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Podcast Overview
Welcome to Outlier Detected, a podcast by the Columbia University Data Science Institute Student Council exclusively dedicated to telling the stories of outstanding individuals in data science.
Language
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Publishing Since
3/31/2021
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Recent Episodes
August 31, 2021
Keerti Agrawal and Aarshay Jain - Data Science in the Industry
<p>In E03 of Outlier Detected, we are joined by not one, but two exceptional alumni of the class of 2017: Keerti Agrawal and Aarshay Jain. Often, novices in Data Science are overwhelmed with the diverging roles, leaving them perplexed while making a career decision. Fortunately, our guests are experienced professionals who have mastered their roles. Aarshay and Keerti will contrast the roles of Data Scientist and Machine Learning Engineer, talk about their experience at Spotify, and discuss their motivations for founding a Data Science consulting firm in India called "Aagmann.ai". Tune in now to learn about all this and more!</p>
June 4, 2021
Dr. Emily L. Spratt - Art and AI Pioneer
<p>In E02 of Outlier Detected, we are joined by polymath Dr. Emily L. Spratt, fellow in the Data Science Institute at Columbia University. Notable for her doubly pioneering research in art history and data science, Dr. Spratt offers a critical approach to the ethics of emerging technologies for images and the philosophical foundations of data science. Her groundbreaking work on art and AI demonstrates how the humanities play an indispensable yet often-overlooked role in data science. In this interview, Dr. Spratt shares her journey on how she came to investigate Byzantine icons with AI, build algorithms to study French gastronomy, and theoretically approach the issue of copyright and digital image protections in the context of AI- and blockchain- based technologies. Dr. Spratt is also a strategist on the seemingly radical applications of data science for the international art market, the creative tech sector, and for museums, cultural heritage management, and even the environment.</p>
March 31, 2021
Aishwarya Srinivasan - A Unicorn in Data Science
<p>Aishwarya is an alumnus of the Data Science Institute at Columbia University class of 2018, and since then, has been creating waves felt far and wide in the data science community. </p> <p>Her achievements include being one of LinkedIn’s Top Voices 2020 for Data Science & AI and being part of IBM’s DS & AI Elite team! </p> <p>Learn more about her journey in data science, LinkedIn and about the Women in Data Science community in the pilot episode of Outlier Detected.</p>
3 total episodes available
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Frequently asked questions
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- What is Outlier Detected?
- How often does this podcast release new episodes?
This podcast updates daily.
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This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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