Watch the full podcast with Linda here: https://youtu.be/0Yrt2lBzsNk 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 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! ***Disclaimer: The information containe...
Mar 19, 2021•6 min
Watch the full podcast here: https://youtu.be/8XpCnmvq49s 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, that can improve generalization, coordination between agents, and collaboration between human and AI agents. She received her PhD from the @Massachusetts Institute of Technology (MIT) where she focused on Affective C...
Mar 12, 2021•9 min
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, that can improve generalization, coordination between agents, and collaboration between human and AI agents. She received her Ph.D. from MIT where she focused on Affective Computing and other techniques for deep/reinforcement learning. She has also received multiple awards fo...
Mar 06, 2021•53 min
Learn more about what product management really is and the skills required for the role with Renee Yao, who leads global healthcare AI startups at @NVIDIA, managing 1000+ healthcare startups. Prior to that, she worked as a senior PM and product marketing manager for AI Systems at NVIDIA. She graduated from Haas School of Business at @UC Berkeley with a focus in Economics and IT. About the Host: Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models...
Mar 03, 2021•6 min
Cade Metz is a reporter at The New York Times where he frequently covers emerging areas of artificial intelligence, from self-driving cars to virtual reality and much more. Prior to that, he was also a senior staff writer at the WIRED magazine covering stories about big tech companies, bitcoins, and AI. He has a strong background in reporting and is also coming out with his own book called “Genius Makers” on March 16th. Slate Star Codex, NYT: https://www.nytimes.com/2021/02/13/technology/slate-s...
Feb 28, 2021•1 hr 14 min
Check out the full podcast here: https://youtu.be/t8YCzcWSUrg Akshay is an Assistant Professor at @Stanford University in the Radiology department. He has a strong background in bioengineering with a bachelor's from @UC San Diego and Ph.D. from Stanford followed by a Postdoctoral experience in radiology at Stanford. We discuss more how machine learning is leveraged for faster medical image acquisition and post-processing methods. About the Host: Jay is a Ph.D. student at Arizona State University...
Feb 22, 2021•5 min
Akshay is an Assistant Professor at Stanford University in the Radiology department. He has a strong background in bioengineering with a bachelor's from UC San Diego and Ph.D. from Stanford followed by a Postdoctoral experience in radiology at Stanford. We discuss more how machine learning is leveraged for faster medical image acquisition and post-processing methods. About the Host: Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical...
Feb 09, 2021•1 hr 1 min
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. Also check-out these talks on all available podcast platforms: https://jayshah.buzzsprout.com About the Host: Jay is a Ph.D. student at Arizona State...
Feb 06, 2021•12 min
Learn more about what product management really is and the skills required for the role with Renee Yao, who leads global healthcare AI startups at @NIVIDIA, managing 1000+ healthcare startups. Prior to that, she worked as a senior PM and product marketing manager for AI Systems at NVIDIA. She graduated from Haas School of Business at @UCBerkley with a focus in Economics and IT. About the Host: Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models ...
Feb 06, 2021•1 hr 2 min
Azalia is a Research scientist at the Google Brain team, where she leads machine learning for systems moonshot projects. Her research interests include and not limited to exploring deep reinforcement learning for optimizing computer systems. She has a Ph.D. in Electrical and Computer Engineering from Rice University and has received many awards for her contributions including the MIT Technology Review 35 under 35. About the Host: Jay is a Ph.D. student at Arizona State University, doing research...
Feb 01, 2021•46 min
Sara Hooker on getting started with learning machine learning, best resources and learning to implement models from scratch. Watch the full episode with Sara here: https://youtu.be/MHtbZls2uts 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 sta...
Jan 27, 2021•5 min
Things that I learned apart from research, non-technical traits I did not know you would but I am glad now I did. Full podcast with Geneviève here: https://youtu.be/AA1Co0XBcKg About the Host: Jay is a PhD 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! ***Disclaimer: The inform...
Jan 22, 2021•12 min
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 building Interpretable AI models for Medical Diagnosis. Jay Shah: https://www.linkedin.com/in/shahjay22/ Y...
Jan 17, 2021•6 min
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 building Interpretable AI models for Medical Diagnosis. Jay Shah: https://www.linkedin.com/in/shahjay22/...
Jan 15, 2021•1 hr
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 doing a PhD or not. Also check-out these talks on all available podcast platforms: https://jayshah.b...
Jan 07, 2021•8 min
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 State University, doing research on building Interpretable AI models for Medical Diagnosis. Jay Shah: ht...
Jan 03, 2021•1 hr 8 min
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 what are some of the most important things any machine learning researcher must know. Also check-out th...
Dec 28, 2020•5 min
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 Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis. Jay Sha...
Dec 17, 2020•4 min
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 Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis. Jay Sh...
Dec 12, 2020•1 hr 2 min
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 researcher must know. About the Host: Jay is a Ph.D. student at Arizona State University, doing research...
Dec 04, 2020•58 min
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 adversarial networks to gathering insights from CERN’s petabyte-scale data and has been published at top-tier ...
Nov 23, 2020•34 min
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 available podcast platforms: https://jayshah.buzzsprout.com About the Host: Jay is a PhD student at Arizona S...
Nov 18, 2020•3 min
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/Machine Learning/Data Science so that you can learn how to break into the field and build an incred...
Nov 17, 2020•46 min
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 adversarial networks to gathering insights from CERN’s petabyte-scale data and has been published at top-tier c...
Nov 05, 2020•3 min
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: Jay Shah: https://www.linkedin.com/in/shahjay22/ You can reach out to https://www.public.asu.edu/~jg...
Oct 31, 2020•42 min
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 doing a PhD or not. Also check-out these talks on all available podcast platforms: https://jayshah.buzzs...
Oct 29, 2020•7 min
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 the brightest minds in the field of Machine Learning/Data Science so that you can learn how to break ...
Oct 26, 2020•3 min
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 Science so that you can learn how to break into the field and build an incredible career! Hosted by...
Oct 02, 2020•42 min
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 build an incredible career! Hosted by: Jay Shah: https://www.linkedin.com/in/shahjay22/ You can reac...
Oct 02, 2020•38 min
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 build an incredible career! Hosted by: Jay Shah: https://www.linkedin.com/in/shahjay22/ You can reach ou...
Oct 02, 2020•44 min
