PODCAST · science
Jay Shah Podcast
by Jay Shah
Interviews with scientists and engineers working in Machine Learning and AI, about their journey, insights, and discussion on latest research topics.
Episodes
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Rethinking LLMs: Why Diffusion Could Change How We Build AI | Dr. Subham Sahoo
Subham Sahoo is a Research Scientist and Team Lead at the Institute of Foundation Models at MBZUAI, where he leads the Diffusion LLM team. His research focuses on discrete diffusion language models and the question of whether diffusion can offer a fundamentally different, and potentially more...
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Why Today's LLMs Still Don't Understand Culture | Simran Khanuja
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…
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The Hidden Flaws in AI Safety & Evaluation Benchmarks | Prof. Jackie Chi Kit Cheung
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,...
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The Future of AI in Pathology: Transforming Diagnosis & Drug Development | Andrew Beck, PathAI
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...
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Beyond Accuracy: Evaluating the learned representations of Generative AI models | Aida Nematzadeh
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...
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Why Open-Source AI Is the Future and needs its 'Linux Moment'? | Manos Koukoumidis
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...
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Differential Privacy, Creativity & future of AI research in the LLM era | Niloofar Mireshghallah
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…
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Reasoning in LLMs, role of academia and keeping up with AI research | Dr. Vivek Gupta
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...
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Time series Forecasting using GPT models | Max Mergenthaler Canseco
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...
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Generative AI and the Art of Product Engineering | Golnaz Abdollahian
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...
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Future of Software Development with LLMs, Advice on Building Tech startups & more | Pritika Mehta
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...
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Instruction Tuning, Prompt Engineering and Self Improving Large Language Models | Dr. Swaroop Mishra
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…
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Role of Large Language Models in AI-driven medical research | Dr. Imon Banerjee
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…
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Algorithmic Reasoning, Graph Neural Nets, AGI and Tips to researchers | Petar Veličković
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...
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Combining Vision & Language in AI perception and the era of LLMs & LMMs | Dr. Yezhou Yang
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...
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Risks of AI in real-world and towards Building Robust Security measures | Hyrum Anderson
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...
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Being aware of Systematic Biases and Over-trust in AI | Meredith Broussard
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...
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P2 Working at DeepMind, Interview Tips & doing a PhD for a career in AI | Dr. David Stutz
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…
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Negotiating Higher Salary for AI & Tech roles after Job Offer | Jordan Sale
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...
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P1 Adversarial robustness in Neural Networks, Quantization and working at DeepMind | David Stutz
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...
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Promises and Lies of ChatGPT - understanding how it works | Subbarao Kambhampati
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...
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Building a company in middle of War, Pandemic and Economic Crisis | Karyna Naminas
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:...
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Video recommendations using Machine Learning at Facebook, News feed & Ads ranking | Amey Dharwadker
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…
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Using AI to improve maternal & child health in underserved communities of India | Aparna Taneja
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...
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Fixing fake news and misinformation online using Robust AI models | Prof. Srijan Kumar
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,...
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Combining knowledge of clinical medicine and Artificial Intelligence | Emma Rocheteau
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...
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Why are Transformer so effective in Large Language Models like ChatGPT
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:...
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History of Large Language Models, Trustworthy AI, ChatGPT & more | Dr. Anupam Datta
Anupam is the co-founder and President of TruEra and prior to that, he was a Professor at Carnegie Mellon University for 15 years. TruEra provides AI solutions that help enterprises use machine learning, improve and monitor model quality, and build trust. His research and other efforts are…
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Theory of Machine Learning, Transformer models, ChatGPT & tips for research career | Dr. Surbhi Goel
Surbhi is an Assistant Professor at the University of Pennsylvania. She got her Ph.D. in Computer Science from UT Austin and prior to joining UPenn as an Assistant Professor, she was a postdoctoral researcher at Microsoft Research NYC in the Machine Learning group. She has research expertise in...
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Making Machine Learning more accessible | Sebastian Raschka
Sebastian Raschka is the lead AI educator at GridAI. He is the author of the book "Machine Learning with PyTorch and Scikit Learn" and also a few other books that cover the fundamentals of #machinelearning and #deeplearning techniques and implementing them with Python. He is also an Assistant...
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Current and future state of Artificial Intelligence in Healthcare | Dr. Matthew Lungren
Dr. Matthew Lungren is currently the Chief Medical Information Officer at Nuance Communications - Microsoft company, and also holds part-time appointments with the University of California San Francisco as an Associate Clinical Professor and also as adjunct faculty at Stanford and Duke…
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AI for improving clinical trials & drug development, entrepreneurship & AI safety | Charles Fisher
Dr. Charles Fisher is the CEO and Founder of Unlearn(dot)AI which helps in faster drug development and efficient clinical trials. This year they also raised a series B funding of 50 million dollars. Charles holds a Ph.D. in biophysics from Harvard University and prior to founding Unlearn, he did...
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Recommendation systems, being an Applied Scientist & Building a good research career | Mina Ghashami
Mina Ghashami is an Applied Scientist in the Alexa Video team at Amazon Science alongside being a lecturer at Stanford University. Prior to joining Amazon, she was a Research Scientist at Visa Research working on recommendation systems built on transactions from users and a few other projects.…
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Role of a Principal Scientist do & AI in medicine | Alberto Santamaria-Pang, Microsoft
Alberto Santamaria-Pang is a Principal Applied Data Scientist at Microsoft. He did his Ph.D. in computer science from the University of Houston and has a long experience in research and development on various AI projects including but not limited to medical imaging and deep learning. Prior to...
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Explainability, Human Aware AI & sentience in large language models | Dr. Subbarao Kambhampati
Are large language models really sentient or conscious? What is explainability (XAI) and how can we create human-aware AI systems for collaborative tasks? Dr. Subbarao Kambhampati sheds some light on these topics, generating explanations for human-in-loop AI systems and understanding…
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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...
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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....
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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...
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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...
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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...
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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...
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How to find a Research Topic that interests you?
How to decide and choose a research/thesis to work on that interests you and is also relevant to current research directions. Full episodes with Maithra, Google: https://youtu.be/htnJxcwJqeA Natasha Google: https://youtu.be/8XpCnmvq49s Milind Google: https://youtu.be/eqwF3NpZFb4 Hima Harvard...
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Learning the internals of Machine Learning systems and tips for PhD | Maithra Raghu, Google Brain
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 PhD in CS and previously graduated from Cambridge...
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How can students contribute to Impactful AI projects? | Dr. Milind Tambe, Google Research
How can you students and researchers work on projects using AI that creates a real impact and difference in society? Watch the full podcast with Dr. Tambe here: https://youtu.be/eqwF3NpZFb4 Dr. Milind Tambe is a Professor of Computer Science at Harvard University and Director of the Center for...
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Challenges and beauties of building a Tech Startup | Nasrin Mostafazadeh
Watch the full conversation with Nasrin here: https://youtu.be/59kRUmhA5yI Nasrin is the co-founder of a deep-tech startup Verneek and has been in the space of AI startups for the past 5 years now. Before that, she was a senior research scientist at Elemental Cognition & BenevolentAI, and prior…
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Intuition for research in Social Reinforcement Learning | Natasha Jacques
How can we build intuition for interdisciplinary fields in order to tackle challenges in social reinforcement learning? 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...
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Challenges of productionizing Machine Learning Research in Industry | Aarti Bagul
Why and where do companies fail at productionizing ML models? Watch the full podcast with Aarti here: https://youtu.be/VWJXiszQpTU Aarti is a machine learning engineer at Snorkel AI. Prior to that, she worked closely with Andrew Ng in various capacities. She graduated with a master’s in CS from...
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Doing a PhD & Excelling at Research | Dr. Hima Lakkaraju
Deciding whether to do a Ph.D. or not and things to focus on while writing your research thesis. Watch the full podcast here: https://youtu.be/8Ym4oYTd8Fo Dr. Himabindu Lakkaraju is an Assistant Professor at Harvard University and her major research interests are along the lines of…
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Founding a Startup, doing a PhD, Interpretability | Dr. Geneviève Patterson
Dr. Geneviève Patterson is the head of applied research at VSCO. Prior to that, she was the CTO of a video editing company she co-founded called TRASH - later acquired by VSCO. She holds a Ph.D. in CS from Brown University with a focus on research in video understanding. She was also a…
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Using AI for Social Good | Dr. Milind Tambe
Dr. Milind Tambe is a Professor of Computer Science at Harvard University and Director of the Center for Research in Computation and Society. He is also the Director of AI for Social Good at Google Research in India. He has been leading and working on projects that are creating an impact, ranging...
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ABOUT THIS SHOW
Interviews with scientists and engineers working in Machine Learning and AI, about their journey, insights, and discussion on latest research topics.
HOSTED BY
Jay Shah
CATEGORIES
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Jay Shah Podcast currently has 97 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
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Interviews with scientists and engineers working in Machine Learning and AI, about their journey, insights, and discussion on latest research topics.
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Jay Shah Podcast has 97 episodes. Check the episode list to see recent publication dates and frequency.
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Jay Shah Podcast is created and hosted by Jay Shah.
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