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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Future of Software Development with LLMs, Advice on Building Tech startups & more | Pritika Mehta
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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 conversation00:00 Highlights01:15 Introduction01:50 Entry point in AI03:04 Motivat…
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Instruction Tuning, Prompt Engineering and Self Improving Large Language Models | Dr. Swaroop Mishra
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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 Ari…
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Role of Large Language Models in AI-driven medical research | Dr. Imon Banerjee
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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 M…
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Algorithmic Reasoning, Graph Neural Nets, AGI and Tips to researchers | Petar Veličković
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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 a…
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Combining Vision & Language in AI perception and the era of LLMs & LMMs | Dr. Yezhou Yang
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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 M…
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Risks of AI in real-world and towards Building Robust Security measures | Hyrum Anderson
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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 E…
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Being aware of Systematic Biases and Over-trust in AI | Meredith Broussard
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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 thi…
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P2 Working at DeepMind, Interview Tips & doing a PhD for a career in AI | Dr. David Stutz
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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 a…
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Negotiating Higher Salary for AI & Tech roles after Job Offer | Jordan Sale
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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 profess…
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P1 Adversarial robustness in Neural Networks, Quantization and working at DeepMind | David Stutz
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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…
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Promises and Lies of ChatGPT - understanding how it works | Subbarao Kambhampati
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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…
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Building a company in middle of War, Pandemic and Economic Crisis | Karyna Naminas
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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 negot…
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Video recommendations using Machine Learning at Facebook, News feed & Ads ranking | Amey Dharwadker
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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 Fe…
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Using AI to improve maternal & child health in underserved communities of India | Aparna Taneja
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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 Compute…
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Fixing fake news and misinformation online using Robust AI models | Prof. Srijan Kumar
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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 …
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Combining knowledge of clinical medicine and Artificial Intelligence | Emma Rocheteau
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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 s…
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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…
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History of Large Language Models, Trustworthy AI, ChatGPT & more | Dr. Anupam Datta
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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 focused on privacy, fairness, and building trustworthy mach…
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Theory of Machine Learning, Transformer models, ChatGPT & tips for research career | Dr. Surbhi Goel
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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 theoretical computer science & machine learning, with …
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Making Machine Learning more accessible | Sebastian Raschka
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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 Professor of Statistics at the University of Wisconsin-…
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Current and future state of Artificial Intelligence in Healthcare | Dr. Matthew Lungren
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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 University. He is a radiologist by training and has led and con…
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AI for improving clinical trials & drug development, entrepreneurship & AI safety | Charles Fisher
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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 his Postdoctorate at Boston University, followed by b…
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Recommendation systems, being an Applied Scientist & Building a good research career | Mina Ghashami
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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. She completed her Ph.D. in Computer Science from the Un…
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Role of a Principal Scientist do & AI in medicine | Alberto Santamaria-Pang, Microsoft
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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 Microsoft, he was a principal scientist at GE research. …
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Explainability, Human Aware AI & sentience in large language models | Dr. Subbarao Kambhampati
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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 'intelligence' in context to AI systems. He is a Prof of Computer…
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Tips & Insights into Program Manager Role | Divy Thakkar, PM at Google Research
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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 particular focus on building computer science foundati…
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How do you decide which research problems to work on? Manish Gupta, Director of Google Research, India
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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. Before that, he was also at IBM research in India lead…
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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 they work efficiently in real-world applications. Pri…
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Building a research lab from scratch & using AI for Social Good, Manish Gupta Google Research India
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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 focused on high-performance computing and business anal…
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Benefits of understanding Theory of Deep Learning | Dr. Hanie Sedghi, Google Brain
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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 research scientist at Allen Institute for AI, and before…
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CNNs & ViTs (Vision Transfomers) - Comparing the internal structures, Maithra Raghu, Google
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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 scientist at Google working on analyzing the internal w…
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How to find a Research Topic that interests you?
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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 University: https://youtu.be/8Ym4oYTd8Fo Ishan Facebook A…
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Learning the internals of Machine Learning systems and tips for PhD | Maithra Raghu, Google Brain
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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 University with BA and Masters in Mathematics. She has rec…
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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 Research in Computation and Society. He is also the Dir…
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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 to which she graduated with a Ph.D. from the Universit…
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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 while focusing on social reinforcement learning. She re…
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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 Stanford, and bachelor's in CS and Computer Engineerin…
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Doing a PhD & Excelling at Research | Dr. Hima Lakkaraju
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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 explainability, fairness, and robustness in AI systems. Prior to th…
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Founding a Startup, doing a PhD, Interpretability | Dr. Geneviève Patterson
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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 postdoctoral researcher at Microsoft Research where she worked …
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Using AI for Social Good | Dr. Milind Tambe
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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 from wildlife conservation, public health, and safet…
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Full episode available here: https://youtu.be/V1mDR4x_JY0 Jineet, a Data Scientist at Intuit and a graduate of Carnegie Mellon University shares some amazing insights about data science and machine learning probing his experiences. Our aim of these webinars is to connect you with the brightest minds in the field of Machine Learning/Data Science so …
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Shreya Shankar, ML Engineer @Viaduct on Applied ML research & more
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Shreya is currently a graduate student at Stanford and also working as an ML engineer at Viaduct.ai. She has previously interned at Google-Brain and at Facebook. She talks about her experience as an applied ML engineer and making ML models work in the real world. Shreya's homepage: https://www.shreya-shankar.com About the Host: Jay is a Ph.D. stude…
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How did I get into Machine Learning research? | Sara Hooker, Azalia Mirhoseini & Natasha Jacques - Google
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Three research scientists from Google share their journey about interest in Machine Learning research and how they got started with it. Watch full podcasts with each of these speakers: Azalia Mirhoseini: https://youtu.be/5LCfH8YiOv4 Sara Hooker: https://youtu.be/MHtbZls2uts Natasha Jacques: https://youtu.be/8XpCnmvq49s About the Host: Jay is a Ph.D…
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Read more about this here in her Twitter thread: https://twitter.com/nasrinmmm/status/1374372131207806976 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 to which she graduated …
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"What got you into AI?" - Answers from 30 different researchers & engineers
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“What got you into AI? And what part of it really interests you about it?” — a simple question that I have asked more than 30 researchers from different backgrounds and applications on my podcasts to learn more about their motivation. Thought of compiling them into one; to whosoever, it proves to be insightful with the aim to learn more what drives…
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What really drives the innovation in research projects? Is it a pure pursuit of theory or application-oriented? Ishan is a Research Scientist at @Facebook AI. Much of his recent research work revolves around self-supervised learning is known for this works like including SwAV and PIRL and, Michal Drozdzal is also a Research Scientist at @Facebook A…
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Game & Network Theory to stop coronavirus spread, Math in AI & more | Po-Shen Loh
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Po-Shen Loh is a Professor of Mathematics at Carnegie Mellon University with research interests in combinatorics, probability theory, and computer science. He is also the coach of the United States International Math Olympiad team and it was under his guidance he led his teams to secure first place in 2015, 16, 18, and 19. He is also the founder of…
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Applications & Challenges of AI in Healthcare | Michal Drozdzal
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Michal Drozdzal is a Research Scientist at Facebook AI with major research interests in computer vision. Machine Learning and medical image analysis. He received a Ph.D. in Computer Science from the University of Barcelona. We talk about his journey into research, some open research questions, how research projects look at the intersection of AI an…
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Transitioning from Academia to Startups, Natural Language Understanding & more | Nasrin Mostafazadeh
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1:22:47
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 to which she graduated with a Ph.D. from the University of Rochester and her major research interests are in building intelligent…
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Failures & developing Gut feeling in Research | Ishan Mishra, Research Scientist @Facebook AI
6:19
How to deal and Interpret failures in research? Developing guts for which research will work out and which will not over course of time, from being a researcher in academia as a Ph.D. student to now being a research scientist at Facebook. Check out the whole podcast here: https://youtu.be/Pb5RQAEtznk Ishan is a Research Scientist at @Facebook AI. M…
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