Jay Shah Podcast

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

Jay Shah Podcast is a science podcast hosted by Jay Shah, with 97 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Jay Shah hosts Jay Shah Podcast, a science show with 97 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

• 

  Jay Shah Podcast

  Why Today's LLMs Still Don't Understand Culture | Simran Khanuja

  Jul 27, 20262h 3m

  Simran Khanuja is a Ph.D. candidate at Carnegie Mellon University. Her research focuses on making AI systems more useful for people across different languages and cultures, with an emphasis on multilingual and multimodal foundation models.Prior to CMU, Simran spent over two years as a Pre-Doctoral Researcher at Google Research, contributing to multilingual language technologies and also did some interesting research at Microsoft Research India. Her recent work includes the Pangea multilingual multimodal foundation model, image transcreation for cultural localization, and new approaches to evaluating culturally relevant AI systems.00:00:00 Highlight & Introduction00:01:20 Journey into AI00:06:27 Industry Experience before Ph.D.00:12:38 Why Pursue a Ph.D. in AI?00:17:54 From Multilingual to Multicultural AI00:24:11 Are Foundation Models really general purpose?00:29:51 Should every Culture have tts own AI model?00:32:38 The biggest bottleneck in cultural alignment00:38:49 Can Prompting solve cultural alignment?00:44:41 Why Images need Translation too00:51:14 Beyond Text: Translating culture across modalities00:55:01 How do you evaluate Image Transcreation?01:00:48 Preventing catastrophic forgetting in Multilingual LLMs01:04:50 Can LLMs learn undocumented cultures?01:11:05 Are LLMs reliable as AI Judges?01:19:32 Can creativity ever be benchmarked?01:28:20 How AI Has changed research workflows01:41:12 Choosing an AI research topic in 202601:52:12 The most overlooked problem in AI today02:01:28 Closing thoughtsMore about Simran's ongoing research: https://simran-khanuja.github.io/About the Host:Jay is a Machine Learning Engineer III at PathAI working on improving AI for medical diagnosis and prognosis. Linkedin: https://www.linkedin.com/in/shahjay22/Twitter: https://twitter.com/jaygshah22Homepage: https://jaygshah.github.io/ for any queries.Stay tuned for upcoming webinars!***Disclaimer: The information 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.***

  ListenShow Notes
• 

  Jay Shah Podcast

  The Hidden Flaws in AI Safety & Evaluation Benchmarks | Prof. Jackie Chi Kit Cheung

  Feb 18, 20261h 26mS0

  <p>Dr. Jackie Cheung is an Associate Professor at McGill University where he co-directs the Reasoning and Learning Lab. He is also an Associate Scientific Director at Mila-Quebec Artificial Intelligence Institute. He and his team are developing computational models to improve the reliability, pragmatics, and evaluation of large language models to ensure they are contextually appropriate and factually grounded.Jackie was worked as a consultant researcher with Microsoft Research and before his current appointments, he earned his PhD and MSc in Computer Science from the University of Toronto, focusing on computational linguistics, and his BSc from the University of British...

  ListenShow Notes
• 

  Jay Shah Podcast

  The Future of AI in Pathology: Transforming Diagnosis & Drug Development | Andrew Beck, PathAI

  Feb 1, 20261h 20mS0

  <p>Andrew Beck, MD, PhD is the Co-founder and CEO of PathAI, where he and his team are developing AI tools to improve the precision of pathology and the efficacy of drug development for diagnosis of cancer and also many other complex diseases.Before founding PathAI, Andrew was an Associate Professor at Harvard Medical School, where his research focused on the application of machine learning to cancer pathology. He earned his MD from Brown University and his PhD in Biomedical Informatics from Stanford University, where he pioneered some of the first computational models used to predict patient outcomes in oncology...

  ListenShow Notes
• 

  Jay Shah Podcast

  Beyond Accuracy: Evaluating the learned representations of Generative AI models | Aida Nematzadeh

  Oct 23, 202553 minS0

  <p>Dr. Aida Nematzadeh is a Senior Staff Research Scientist at Google DeepMind where her research focused on multimodal AI models. She works on developing evaluation methods and analyze model’s learning abilities to detect failure modes and guide improvements. Before joining DeepMind, she was a postdoctoral researcher at UC Berkeley and completed her PhD and Masters in Computer Science from the University of Toronto. During her graduate studies she studied how children learn semantic information through computational (cognitive) modeling. Time stamps of the conversation00:00 Highlights01:20 Introduction02:08 Entry point in AI03:04 Background in Cognitive Science & Computer Science 04:55 Research at Google Dee...

  ListenShow Notes
• 

  Jay Shah Podcast

  Why Open-Source AI Is the Future and needs its 'Linux Moment'? | Manos Koukoumidis

  Apr 15, 20251h 20mS0

  <p>Manos is the CEO of Oumi, a platform focused on open sourcing the entire lifecycle of foundation and large models. Prior to that he was at Google leading efforts on developing large language models within Cloud services. He also has experience working at Facebook on AR/VR projects and at Microsoft’s cloud division developing machine learning based services. Manos received his PhD in computer engineering from Princeton University and has extensive hands-on experience building and deploying models at large scale. Time stamps of the conversation00:00:00 Highlights00:01:20 Introduction00:02:08 From Google to Oumi00:08:58 Why big tech models cannot beat ChatGPT00:12:00 Fu...

  ListenShow Notes

Recent guests on Jay Shah Podcast. Study who booked and why before you pitch.

Based on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:

Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.