Jay Shah

Jay Shah Podcast

Science EN ↓ 97 episodes

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

Author

Jay Shah

Category

Science

Podcast website

jayshah.buzzsprout.com

Latest episode

Feb 18, 2026

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Episodes

The Hidden Flaws in AI Safety & Evaluation Benchmarks | Prof. Jackie Chi Kit Cheung 18.02.2026

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...

The Future of AI in Pathology: Transforming Diagnosis & Drug Development | Andrew Beck, PathAI 02.02.2026

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 cance...

Beyond Accuracy: Evaluating the learned representations of Generative AI models | Aida Nematzadeh 23.10.2025

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 Unive...

Why Open-Source AI Is the Future and needs its 'Linux Moment'? | Manos Koukoumidis 15.04.2025

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 engin...

Differential Privacy, Creativity & future of AI research in the LLM era | Niloofar Mireshghallah 04.02.2025

Niloofar is a Postdoctoral researcher at University of Washington with research interests in building privacy preserving AI systems and studying the societal implications of machine learning models. She received her PhD in Computer Science from UC San Diego in 2023 and has received multiple awards and honors for research contributions. Time stamps of the conversation 00:00:00 Highlights 00:01:35 I...

Reasoning in LLMs, role of academia and keeping up with AI research | Dr. Vivek Gupta 24.12.2024

Vivek is an Assistant Professor at Arizona State university. Prior to that, he was at the University of Pennsylvania as a postdoctoral researcher and completed his PhD in CS from the University of Utah. His PhD research focused on inference and reasoning for semi structured data and his current research spans reasoning in large language models (LLMs), multimodal learning, and instilling models wit...

Time series Forecasting using GPT models | Max Mergenthaler Canseco 19.09.2024

Max is the CEO and co-founder of Nixtla, where he is developing highly accurate forecasting models using time series data and deep learning techniques, which developers can use to build their own pipelines. Max is a self-taught programmer and researcher with a lot of prior experience building things from scratch. 00:00:50 Introduction 00:01:26 Entry point in AI 00:04:25 Origins of Nixtla 00:07:30...

Generative AI and the Art of Product Engineering | Golnaz Abdollahian 05.09.2024

Golnaz Abdollahian is currently the senior director of big idea innovation at Dolby Laboratories. She has a lot of experience developing and shaping technological products around augmented and virtual reality, smart homes, and generative AI. Before joining Dolby, she had experience working at Microsoft, Apple, and Sony. She also holds PhD in electrical engineering from Purdue University. Time stam...

Future of Software Development with LLMs, Advice on Building Tech startups & more | Pritika Mehta 14.08.2024

Pritika is the co-founder of Butternut AI, a platform that allows the creation of professional websites without hiring web developers. Before butternut, Pritika had entrepreneurship experience building some other products, which later got acquired. Time stamps of the conversation 00:00 Highlights 01:15 Introduction 01:50 Entry point in AI 03:04 Motivation behind Butternut AI 05:00 Can software eng...

Instruction Tuning, Prompt Engineering and Self Improving Large Language Models | Dr. Swaroop Mishra 09.07.2024

Swaroop is a research scientist at Google-Deepmind, working on improving Gemini. His research expertise includes instruction tuning and different prompt engineering techniques to improve reasoning and generalization performance in large language models (LLMs) and tackle induced biases in training. Before joining DeepMind, Swaroop graduated from Arizona State University, where his research focused...

Role of Large Language Models in AI-driven medical research | Dr. Imon Banerjee 23.04.2024

Dr. Imon Banerjee is an Associate Professor at Mayo Clinic in Arizona, working at the intersection of AI and healthcare research. Her research focuses on multi-modality fusion, mitigating bias in AI models specifically in the context of medical applications & more broadly building predictive models using different data sources. Before joining the Mayo Clinic, she was at Emory University as an...

Algorithmic Reasoning, Graph Neural Nets, AGI and Tips to researchers | Petar Veličković 27.10.2023

Dr. Petar Veličković is a Staff Research Scientist at Googe DeepMind and an Affiliated lecturer at the University of Cambridge. He is known for his research contributions in graph representation learning; particularly graph neural networks and graph attention networks. At DeepMind, he has been working on Neural Algorithmic Reasoning which we talk about more in this podcast. Petar’s research has be...

Combining Vision & Language in AI perception and the era of LLMs & LMMs | Dr. Yezhou Yang 10.10.2023

Dr. Yezhou Yang is an Associate Professor at Arizona State University and director of the Active Perception Group at ASU. He has research interests in Cognitive Robotics and Computer Vision, and understanding human actions from visual input and grounding them by natural language. Prior to joining ASU, he completed his Ph. D. from the University of Maryland and his postdoctoral at the Computer Visi...

Risks of AI in real-world and towards Building Robust Security measures | Hyrum Anderson 12.07.2023

Dr Hyrum Anderson is a Distinguished Machine Learning Engineer at Robust Intelligence. Prior to that, he was Principal Architect of Trustworthy Machine Learning at Microsoft where he also founded Microsoft’s AI Red Team; he also led security research at MIT Lincoln Laboratory, Sandia National Laboratories, and Mendiant, and was Chief Scientist at Endgame (later acquired by Elastic). He’s also the...

Being aware of Systematic Biases and Over-trust in AI | Meredith Broussard 10.07.2023

Meredith is an associate professor at New York University and research director at the NYU Alliance for Public Interest Technology. Her research interests include using data analysis for good and ethical AI. She is also the author of the book “More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech” and we will discuss more about this with her in this podcast. Time stamps of the con...

P2 Working at DeepMind, Interview Tips & doing a PhD for a career in AI | Dr. David Stutz 10.07.2023

Part-2 of my podcast with David Stutz. (Part-1: https://youtu.be/J7hzMYUcfto) David is a research scientist at DeepMind working on building robust and safe deep learning models. Prior to joining DeepMind, he was a PhD student at the Max Plank Institute of Informatics. He also maintains a fantastic blog on various topics related to machine learning and graduate life which is insightful to young res...

Negotiating Higher Salary for AI & Tech roles after Job Offer | Jordan Sale 09.07.2023

Rora helps top AI researchers and professionals negotiate their pay -- often as they transition from academia into industry. Moving into tech is a huge transition for many PhDs and post-docs -- the pay is much more significant and the terms of employment are often quite different. In the past 5 years, the Rora team has helped over 1000 STEM professionals negotiate more than $10M in additional earn...

P1 Adversarial robustness in Neural Networks, Quantization and working at DeepMind | David Stutz 09.07.2023

Part-1 of my podcast with David Stutz. (Part-2: https://youtu.be/IumJcB7bE20) David is a research scientist at DeepMind working on building robust and safe deep learning models. Prior to joining DeepMind, he was a Ph. D. student at the Max Plank Institute of Informatics. He also maintains a fantastic blog on various topics related to machine learning and graduate life which is insightful to young...

Promises and Lies of ChatGPT - understanding how it works | Subbarao Kambhampati 07.06.2023

Dr. Subbarao Kambhampati is a Professor of Computer Science at Arizona State University and the director of the Yochan lab where his research focuses on decision-making and planning, specifically in the context of human-aware AI systems. He has been named a fellow of AAAI, AAAS, and ACM in recognition of his research contributions and also received a distinguished alumnus award from the University...

Building a company in middle of War, Pandemic and Economic Crisis | Karyna Naminas 04.06.2023

Karyna Naminas is the CEO of Label Your Data which provides data annotation services to different organizations interested in developing AI-based solutions. Check out Rora: https://teamrora.com/jayshah Guide to STEM Ph. D. AI Researcher + Research Scientist pay: https://www.teamrora.com/post/ai-researchers-salary-negotiation-report-2023 Rora's negotiation philosophy: https://www.teamrora.com/...

Video recommendations using Machine Learning at Facebook, News feed & Ads ranking | Amey Dharwadker 04.06.2023

Amey Dharwadker works as a Machine Learning Tech Lead Manager at Meta, supporting Facebook's Video Recommendations Ranking team and working on building and deploying personalization models for billions of users. He has also been instrumental in driving a significant increase in user engagement and revenue for the company through his work on News Feed and Ads ranking ML models. As an experienc...

Using AI to improve maternal & child health in underserved communities of India | Aparna Taneja 11.05.2023

Dr. Aparna Taneja works at Google Research in India on innovative projects driving real-world social impact. Her team collaborates with an NGO called ARMMAN with the mission to improve maternal and child health outcomes in underserved communities of India. Prior to Google she was a Post-Doc at Disney Research, Zurich, and has a PhD from the Computer Vision and Geometry Group in ETH Zurich and a Ba...

Fixing fake news and misinformation online using Robust AI models | Prof. Srijan Kumar 03.05.2023

Dr. Srijan Kumar is an Assistant professor at Georgia Tech with research interests in combating misinformation and harmful content on online platforms, building robust AI models prone to adversarial attacks, and behavior modeling for more accurate recommender systems. Before joining Georgia Tech, he was a postdoctoral fellow at Stanford University and completed his Ph. D. in computer science from...

Combining knowledge of clinical medicine and Artificial Intelligence | Emma Rocheteau 31.03.2023

Emma is a final-year medical student at the University of Cambridge and also pursuing her Ph. D. in Machine Learning. With her knowledge of clinical decision-making, she is working on research projects that leverage machine-learning techniques to improve clinical workflow. She will be taking her role as an academic doctor post her graduation.  Time stamps of the conversation 00:00:00 Introduction...

Why are Transformer so effective in Large Language Models like ChatGPT 29.03.2023

Understanding why and how transformers are so efficient in large language models nowadays such as #chatgpt and more. Watch the full podcast with Dr. Surbhi Goel here: https://youtu.be/stB0cY_fffo Find Dr. Goel on social media  Website: https://www.surbhigoel.com/ Linkedin: https://www.linkedin.com/in/surbhi-goel-5455b25a Twitter: https://twitter.com/surbhigoel_?lang=en Learning Theory Alliance: ht...

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