64 episodes

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

Jay Shah Podcast Jay Shah

    • Education
    • 5.0 • 10 Ratings

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

    Tips & Insights into Program Manager Role | Divy Thakkar, PM at Google Research

    Tips & Insights into Program Manager Role | Divy Thakkar, PM at Google Research

    Divy is a Program Manager and one of the founding members of  Google research in India. He is actively involved and leading strategic programs that connect academia and research at Google, programs that focus on AI-for-Social-Good initiatives, and educational programs for schools in India with a particular focus on building computer science foundations.

    00:00:12 Introductions
    00:01:12 Background prior to joining Google
    00:08:40 Programs you are working on as a Program Manager at Google Research and what are your responsibilities
    00:14:35 Lifecycle of a program & various phases
    00:17:55 Getting involved in research while being a Program Manager
    00:25:55 Learning skills for strategic thinking as a PM
    00:35:08 How did you get your PM role at Google and what was the interview like?
    00:40:35 Resources people can use to prepare for PM interviews
    00:41:58 Difference b/w Product vs Program vs Technical Manager
    00:46:10 Previous experiences that helped develop skills for Program Manage role
    00:53:58 Tips on being more organized with work

    Divy's Homepage: https://sites.google.com/view/divythakkar
    Twitter: https://twitter.com/divy93t
    LinkedIn: https://www.linkedin.com/in/divythakkar/

    About the Host:
    Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.
    Jay Shah: https://www.linkedin.com/in/shahjay22/

    You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
    Stay tuned for upcoming webinars!

    #research #programmanager #googleresearch #india #aiforsocialgood #manager 

    ***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***

    • 1 hr 3 min
    How do you decide which research problems to work on? Manish Gupta, Director of Google Research, India

    How do you decide which research problems to work on? Manish Gupta, Director of Google Research, India

    Watch the full conversation with Dr. Manish Gupta here: https://youtu.be/-Tl6-DKxEMU

    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 was also at IBM research in India leading the efforts and building a lab focused on high-performance computing and business analytics. He also led the efforts at Goldman Sachs developing technologies relating to cloud, databases, and networking aiding business functions. We also co-founded and was the CEO of an educational technology startup called VideoKen. 

    Dr. Manish Gupta's Homepage
    https://www.iiitb.ac.in/faculty/manish-gupta
    https://research.google/people/106704/

    About the Host:
    Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.
    Jay Shah: https://www.linkedin.com/in/shahjay22/

    You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
    Stay tuned for upcoming webinars!

    #research #ai #machinelearning #googleresearch #india #aiforsocialgood

    ***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***

    • 13 min
    Writing a good Research Thesis | Dr. Hanie Sedghi, Google Research

    Writing a good Research Thesis | Dr. Hanie Sedghi, Google Research

    Check out the full conversation with Hanie here: https://youtu.be/hFJLuqaSakA

    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 of AI, and before that she was a Post-Doc fellow at UC Irvine. She graduated from USC with a Ph.D. with minors in Mathematics. 

    Dr. Hanie Sedghi's links
    Twitter: https://twitter.com/haniesedghi?ref_src=twsrc%5Etfw
    Homepage: https://haniesedghi.com/

    About the Host:
    Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.
    Jay Shah: https://www.linkedin.com/in/shahjay22/

    You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
    Stay tuned for upcoming webinars!

    #theoryofmachinelearning #deeplearning #ai #machinelearning #fundamentals

    ***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***

    • 5 min
    Building a research lab from scratch & using AI for Social Good, Manish Gupta Google Research India

    Building a research lab from scratch & using AI for Social Good, Manish Gupta Google Research India

    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 at IBM TJ Watson research center for which IBM received the National Medal of Technology and Innovation from the President of the US. He also led the efforts at Goldman Sachs developing technologies relating to cloud, databases, and networking aiding business functions. We also co-founded and was the CEO of an educational technology startup called VideoKen. He has received many distinguished awards for his efforts and has coauthored many academic papers in the domains of computer science.

    Time-Stamps
    00:00:00 Introductions
    00:01:50 What kind of research projects are you currently spearheading at Google Research and what does your work routine look like?
    00:06:30 What was your thought process prior to joining Google Research?
    00:13:40 What’s the difference between a Researcher | Senior Researcher | Director of research?
    00:23:00 What should robust AI systems look like?
    00:33:22 How do you decide which research problems to work on?
    00:46:46 What kind of challenges have you encountered while working on AI research problems specific to India?
    00:56:15 How do you design and evaluate the impact of these AI projects?
    00:59:27 What made you consider shifting back to India after a long streak of a career in the USA? What factors did you consider?
    01:03:06 Any skills you would suggest students nurture apart from technical expertise?
    01:05:40 There’s always a concern about AI usage and automation. Where do you think the balance lies?

    Dr. Manish Gupta's Homepage
    https://www.iiitb.ac.in/faculty/manish-gupta
    https://research.google/people/106704/

    About the Host:
    Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.
    Jay Shah: https://www.linkedin.com/in/shahjay22/

    You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
    Stay tuned for upcoming webinars!

    #research #ai #machinelearning #googleresearch #india #aiforsocialgood

    ***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***

    • 1 hr 12 min
    Benefits of understanding Theory of Deep Learning | Dr. Hanie Sedghi, Google Brain

    Benefits of understanding Theory of Deep Learning | Dr. Hanie Sedghi, Google Brain

    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. with minors in Mathematics. 

    Dr. Hanie Sedghi's links
    Twitter: https://twitter.com/haniesedghi?ref_src=twsrc%5Etfw
    Homepage: https://haniesedghi.com/

    About the Host:
    Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.
    Jay Shah: https://www.linkedin.com/in/shahjay22/

    You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
    Stay tuned for upcoming webinars!

    #theoryofmachinelearning #deeplearning #ai #machinelearning #fundamentals

    ***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***

    • 53 min
    CNNs & ViTs (Vision Transfomers) - Comparing the internal structures, Maithra Raghu, Google ​

    CNNs & ViTs (Vision Transfomers) - Comparing the internal structures, Maithra Raghu, Google ​

    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 loop. She recently graduated from Cornell University with a Ph.D. 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.

    Maithra's Homepage: https://maithraraghu.com

    About the Host:
    Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.
    Jay Shah: https://www.linkedin.com/in/shahjay22/

    You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
    Stay tuned for upcoming webinars!

    #explainableai #reliableai #robustai #machinelearning

    ***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***

    • 5 min

Customer Reviews

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10 Ratings

10 Ratings

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Passionate ML host

Jay Shah is an energetic Machine Learning expert who brings the best guests on his show to unveil nuances of ML. His engaging conversation style makes this podcast a must hear on your playlist.

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Jay shah’s machine learning podcast

These podcasts are really insights and understandable in laymen terms. I have learned a lot personally; definitely recommend anyone new to machine learning!

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Machine Learning Podcast - Jay Shah

One the best podcasts I have found on internet for learning machine learning. Great set of speakers and the host has novel questions always! Definitely recommend to beginners!

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