Jay Shah Podcast

Jay Shah Podcast

Interviews with scientists and engineers working in Machine Learning and AI, about their journey, insights, and discussion on latest research topics.

Episodes

November 11, 2021 72 min

Dr. Manish Gupta is currently the Director of Google Research in India. Prior to that he was the Vice-president and led the Xerox Research Center in India majorly working on data analytics and mobile computing. Before that he also at IBM research in India leading the efforts and building a lab focused on high-performance computing and business analytics. He also worked on the IBM Blue Gene supercomputer project in the early 2000s a...

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Hanie is a senior research scientist at Google Brain working on research problems related to understanding and improving deep learning techniques. She works on designing algorithms with theoretical guarantees such that they work efficiently in real-world applications.  Prior to that, she was a research scientist at  Allen Institute for AI, and before that she was a Post-Doc fellow at UC-Irvine. She graduated from USC with a Ph.D. w...

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Do Vision Transformers work in the same way as CNNs? Do the internal representational structures of ViTs and CNNs differ? An in-depth analysis article: https://arxiv.org/pdf/2108.08810.pdf
Listen to the full conversation here: https://youtu.be/htnJxcwJqeA

Dr. Maithra Raghu is a senior research scientist at Google working on analyzing the internal workings of deep neural networks so that we can deploy them better keeping humans in the...

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How to decide and choose a research/thesis to work on that interests you and is also relevant to current research directions.

Full episodes with 
Maithra, Google: https://youtu.be/htnJxcwJqeA
Natasha  Google: https://youtu.be/8XpCnmvq49s
Milind  Google: https://youtu.be/eqwF3NpZFb4
Hima  Harvard University: https://youtu.be/8Ym4oYTd8Fo
Ishan  Facebook AI: https://youtu.be/Pb5RQAEtznk

About the Host:
Jay is a PhD student at Arizona State Un...

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Dr. Maithra Raghu is a senior research scientist at Google working on analyzing the internal workings of deep neural networks so that we can deploy them better keeping humans in the loop. She recently graduated from Cornell University with a PhD in CS and previously graduated from  Cambridge University with BA and Masters in Mathematics. She has received multiple awards for her research work including the Forbes 30 under 30.

Questio...

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How can you students and researchers work on projects using AI that creates a real impact and difference in society? 

Watch the full podcast with Dr. Tambe here: https://youtu.be/eqwF3NpZFb4

Dr. Milind Tambe is a Professor of Computer Science at  Harvard University and Director of the Center for Research in Computation and Society. He is also the Director of AI for Social Good at  Google  Research in India. He has been leading and wo...

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Watch the full conversation with Nasrin here: https://youtu.be/59kRUmhA5yI

Nasrin is the co-founder of a deep-tech startup Verneek and has been in the space of AI startups for the past 5 years now. Before that, she was a senior research scientist at Elemental Cognition & BenevolentAI, and prior to which she graduated with a Ph.D. from the University of Rochester and her major research interests are in building intelligent system...

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How can we build intuition for interdisciplinary fields in order to tackle challenges in social reinforcement learning?

Natasha Jaques is currently a Research Scientist at Google Brain and a post-doc fellow at UC Berkeley, where her research interests are in designing multi-agent RL algorithms while focusing on social reinforcement learning. She received her Ph.D. from MIT and has also received multiple awards for her research works...

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Why and where do companies fail at productionizing ML models? 

Watch the full podcast with Aarti here: https://youtu.be/VWJXiszQpTU

Aarti is a machine learning engineer at Snorkel AI. Prior to that, she worked closely with Andrew Ng in various capacities. She graduated with a master’s in CS from Stanford, and bachelor's in CS and Computer Engineering from @New York University, and at @Microsoft  Research as a research int...

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Deciding whether to do a Ph.D. or not and things to focus on while writing your research thesis.

Watch the full podcast here: https://youtu.be/8Ym4oYTd8Fo

Dr. Himabindu Lakkaraju is an Assistant Professor at Harvard University and her major research interests are along the lines of explainability, fairness, and robustness in AI systems. Prior to that she graduated with a Ph.D. from  @Stanford  and has received multiple awards for...

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Dr. Milind Tambe is a Professor of Computer Science at Harvard University and Director of the Center for Research in Computation and Society. He is also the Director of AI for Social Good at Google Research in India. He has been leading and working on projects that are creating an impact, ranging from wildlife conservation, public health, and safety using AI techniques.

Time Stamps:
00:00 Introductions
01:05 In concrete terms what pro...

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Dr. Geneviève Patterson is the head of applied research at VSCO. Prior to that, she was the CTO of a video editing company she co-founded called TRASH - later acquired by VSCO. She holds a Ph.D. in CS from Brown University with a focus on research in video understanding. She was also a postdoctoral researcher at Microsoft Research where she worked on interpreting deep neural networks and much more.

Geneviève Homepage: http://genp.gi...

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Three research scientists from Google share their journey about interest in Machine Learning research and how they got started with it.

Watch full podcasts with each of these speakers:
Azalia Mirhoseini: https://youtu.be/5LCfH8YiOv4
Sara Hooker: https://youtu.be/MHtbZls2uts
Natasha Jacques: https://youtu.be/8XpCnmvq49s

About the Host:
Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models f...

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Full episode available here: https://youtu.be/V1mDR4x_JY0

Jineet, a Data Scientist at Intuit and a graduate of Carnegie Mellon University shares some amazing insights about data science and machine learning probing his experiences.

Our aim of these webinars is to connect you with the brightest minds in the field of Machine Learning/Data Science so that you can learn how to break into the field and build an incredible career!

You can r...

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Shreya is currently a graduate student at Stanford and also working as an ML engineer at Viaduct.ai. She has previously interned at Google-Brain and at Facebook. She talks about her experience as an applied ML engineer and making ML models work in the real world.

Shreya's homepage: https://www.shreya-shankar.com

About the Host:
Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models f...

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“What got you into AI? And what part of it really interests you about it?” — a simple question that I have asked more than 30 researchers from different backgrounds and applications on my podcasts to learn more about their motivation. Thought of compiling them into one; to whosoever, it proves to be insightful with the aim to learn more what drives researchers explore and work in the domain of Machine Learning and what got them sta...

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Read more about this here in her Twitter thread: https://twitter.com/nasrinmmm/status/1374372131207806976

Nasrin is the co-founder of a deep-tech startup Verneek and has been in the space of AI startups for the past 5 years now. Before that, she was a senior research scientist at Elemental Cognition & BenevolentAI, and prior to which she graduated with a Ph.D. from the University of Rochester and her major research interests are...

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What really drives the innovation in research projects? Is it a pure pursuit of theory or application-oriented?

Ishan is a Research Scientist at @Facebook AI. Much of his recent research work revolves around self-supervised learning is known for this works like including SwAV and PIRL and, 
Michal Drozdzal is also a Research Scientist at @Facebook AI with major research interests in computer vision, Machine Learning, and medi...

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Po-Shen Loh is a Professor of Mathematics at Carnegie Mellon University with research interests in combinatorics, probability theory, and computer science. He is also the coach of the United States International Math Olympiad team and it was under his guidance he led his teams to secure first place in 2015, 16, 18, and 19. He is also the founder of Expii, an online platform that teaches young students basic concepts of math and sci...

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Michal Drozdzal is a Research Scientist at Facebook AI with major research interests in computer vision. Machine Learning and medical image analysis. He received a Ph.D. in Computer Science from the University of Barcelona. We talk about his journey into research, some open research questions, how research projects look at the intersection of AI and medical research, and more about the democratization of AI research.

Michal's Li...

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