Jay Shah Podcast

How do medical professionals see ML fitting into medical research - Biomarker discovery? Confirming hypothesis with accuracy? A tool to manage much data? Check out the full podcast here: https://youtu.be/qnOvXrkt7zE Also check-out these talks on all available podcast platforms: https://jayshah.buzzsprout.com About the Host: Jay is a PhD student at Arizona State University, doing research on buildi...

Dr. Lungren is the Co-Director of the Stanford Center for Artificial Intelligence in Medicine and Imaging,  @Stanford AIMI  and an Associate Professor at  @Stanford  Medical Center. His research interest is in the field of AI and deep learning in medical imaging, precision medicine, and predictive health outcomes. About the Host: Jay is a PhD student at Arizona State University, doing research on...

Check the full podcast with Debarghya Das: https://youtu.be/Vn79br3mKZM Debarghya (Deedy), currently a Founding Engineer at a Stealth Startup is a computer science graduate from Cornell University. He has previously worked and interned at Google, Facebook and Coursera. In this podcast we talk about various computer science roles in industry: research, software engineering, product management, and...

Debarghya (Deedy), currently a Founding Engineer at a Stealth Startup is a computer science graduate from Cornell University. He has previously worked and interned at Google, Facebook and Coursera. In this podcast we talk about various computer science roles in industry: research, software engineering, product management, and doing a PhD or not. About the Host: Jay is a PhD student at Arizona Stat...

Watch the full episode with Sara here: https://youtu.be/MHtbZls2uts Sara is a research scholar at @Google-Brain team working on building interpretable machine learning models for reliability and robustness. We talk about how she transitioned from economics to now pure research at the Brain team. We also talk in detail about what interpretability means, what are the state-of-art techniques, and wha...

Sharon is a Stanford Computer Science Ph. D. student advised by Andrew Ng and Michael Bernstein working on generative models. Popularly known for her Coursera course on building GANs, she talks more about the use of AI in medicine, what product management is about, some philosophical fun chat and interpretability, and the future of AI in healthcare. About the Host: Jay is a Ph. D. student at Arizo...

Sharon is a Stanford Computer Science Ph. D. student advised by Andrew Ng and Michael Bernstein working on generative models. Popularly known for her Coursera course on building GANs, she talks more about the use of AI in medicine, what product management is about, some philosophical fun chat, and interpretability, and the future of AI in healthcare. About the Host: Jay is a Ph. D. student at Ariz...

Sara is a research scholar at the Google-Brain team working on building interpretable machine learning models for reliability and robustness. We talk about how she transitioned from economics to now pure research at the Brain team. We also talk in detail about what interpretability means, what are the state-of-art techniques, and what are some of the most important things any machine learning rese...

Siddha is a self-driving architect at NVIDIA and she also guides teams at NASA as an AI domain expert . She was featured on the Forbes 30 under 30 list in 2019.  Previously, she developed deep learning models for resource-constrained edge devices at DeepVision. She earned her Master's degree from Carnegie Mellon University, and her work ranges from visual question answering to generative adve...

Full podcast with Shreya available here: https://www.youtube.com/watch?v=LojomxFnjBY&t=439s Shreya is currently a graduate student  @Stanford  and also working as an ML engineer @Viaduct.ai. She has previously interned at  @Google -Brain and  @Facebook . She talks about her experience as an applied ML engineer and making ML models work in the real-world. Also check-out these talks on all avail...

Barkha shares her experience and useful tips for landing good jobs and internships in the CS domain in the states, starting from being a Deputy Convener of Student Placement Cell in DAIICT, India to being an intern at Intuit and an SDE at LinkedIn. Learn more about her: https://www.linkedin.com/in/barkhabhojak/ Our aim of these webinars is to connect you with the brightest minds in the field of CS...

Siddha is a self-driving architect at NVIDIA and she also guides teams at NASA as an AI domain expert. She was featured on the Forbes 30 under 30 list in 2019. Previously, she developed deep learning models for resource-constrained edge devices at DeepVision. She earned her Master's degree from Carnegie Mellon University, and her work ranges from visual question answering to generative advers...

Vidhan shares what intrigued him about Machine Learning as a student at CMU and how he built up his profile learning from experiences and exploring landing him a job in research at Microsoft. 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! Hosted by:...

Full episode with Deedy available here: https://youtu.be/Vn79br3mKZM Debarghya (Deedy) currently a Founding Engineer at a Stealth Startup is a computer science graduate from Cornell University. He has previously worked and interned at Google, Facebook and Coursera. In this podcast we talk about various computer science roles in industry: research, software engineering, product management, and doin...

Full episode with Shashank available here: https://youtu.be/jysvEYGggFE About the Speaker: Shashank works with several other Machine Learning Engineers at @Google on Computer Vision and Perception projects. He graduated from@Arizona State University in 2018 and has a great experience working in various domains of Machine Learning and Data Science. Our aim of these webinars is to connect you with t...

Ganesh works at MGH and BWH Center for Clinical Data Science, revolutionizing healthcare using Artificial Intelligence. He has experience working with Deep Learning algorithms, Data Visualizations and scalable distributed systems. 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...

As a Machine Learning Instructor, Ajinkya talks about how building applications and complementing your engineering skills with creativity and interest is more important than merely focusing on the mathematics of algorithms. And that is what the new every day changing ML industry might demand! Our aim of these webinars is to connect you with the brightest minds in the field of Machine Learning/Data...

Jineet, a Data Scientist at Intuit and a graduate from Carnegie Mellon University shares some amazing insights about data science and machine learning probing his experiences. LinkedIn: https://www.linkedin.com/in/jineetdoshi/ 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 buil...

Why being a Tech-God is not enough. Thoughts from Shraddha Patel, CMU Grad, and a Business Analytics Consultant at Servian, Australia. 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! About the Speaker: Shraddha is a recent graduate of CMU with a focus...

Shashank works with several other Machine Learning Engineers at Google on Computer Vision and Perception projects. He graduated from Arizona State University in 2018 and has great experience working in various domains of Machine Learning and Data Science. Hosted by: Jay Shah: https://www.linkedin.com/in/shahjay22/ You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries. Stay tune...

Vaibhavi Desai, Community Manager, Developer Relations Southeast Asia at Google. She designs programs on Machine Learning and Data Science at Google, working with several Machine Learning Engineers and nurturing communities around various other developer programs. Hosted by: Jay Shah: https://www.linkedin.com/in/shahjay22/ You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries....

Interview with Devanshu Jain, Software Engineer at YouTube, on our first episode of Machine Learning for Beginners! Our aim of these webinars is to connect you with the brightest minds in the field of ML/DS so that you can learn how to break into the field and build an incredible career! Speaker: Devanshu works on Home Page recommendations at YouTube and has held experience working in Uber and Ama...