In this episode of ACM ByteCast, Rashmi Mohan hosts 2022 ACM Fellow Ranveer Chandra, Managing Director for Research for Industry and CTO of Agri-Food at Microsoft. He also leads Microsoft’s Networking Research Group and has shipped multiple products over the years. He has authored more than 100 papers and patents and won numerous awards, including the Microsoft Gold Star award. He has been recognized by MIT Technoloy Review’s Top Innovators Under 35 and was most recently included in Newsweek magazine’s list of America’s 50 most Disruptive Innovators.

Ranveer shares his journey, from growing up in India, where he began to appreciate the agricultural industry during the summers he spent with his grandparents, to his PhD thesis on VirtualWifi, which uses TV white spaces to bring internet connectivity to homes without WiFi. He explains how his experience interviewing farmers inspired him to work on technology that takes some of the guesswork out of their work using data and AI, and to come up with solutions that help the agriculture industry become more productive, profitable, and climate friendly. Ranveer talks about the phases of product development for his team at Microsoft. He also offers some insights on how recent breakthroughs in AI, such as generative models, can help farmers in countries like India, and shares what he’s most excited about in the application of AI to agriculture and the food ecosystem.

In this episode of ACM ByteCast, Bruke Kifle hosts 2022 ACM Prize in Computing recipient Yael Tauman Kalai, Senior Principal Researcher at Microsoft Research and an Adjunct Professor at the Massachusetts Institute of Technology. Her main research interests are cryptography, the Theory of Computation, and security and privacy. She is especially known for her work in verifiable delegation of computation, where she has developed succinct proofs that certify the correctness of any computation. In addition to making breakthroughs in the mathematical foundations of cryptography, her proofs have been practically useful in areas such as blockchain and cryptocurrency.

Yael shares her career journey in computer science, which is rooted in a love of mathematics, and how the field of cryptography provided philosophically interesting questions with applicable research outcomes. She describes her work on ring signatures, a key component of numerous blockchain-based systems that added privacy to the chain, which she co-invented with Ron Rivest and Adi Shamir. Yael also touches on AI and large language models (LLMs), different methods of verification, how she values her own work, and how she balances her roles between academia and industry. She also reveals some concerns around quantum computing and what she sees as the most exciting emerging areas of cryptography.

In this episode of ACM ByteCast, our special guest host Scott Hanselman (of The Hanselminutes Podcast) welcomes Noriko Arai, a professor in the Information and Society Research Division of the National Institute of Informatics in Tokyo, Japan. She is a researcher in mathematical logic and artificial intelligence and is known for her work on a project to develop robots that can pass the entrance examinations for the University of Tokyo. She is also the founder of Researchmap, the largest social network for researchers in Japan. Her research interests span various disciplines, including mathematical logic, artificial intelligence, cognitive science, math education, computer-supported collaborative learning, and the science of science policy (SoSP). She earned a law degree from Hitotsubashi University, a mathematics degree from the University of Illinois at Urbana-Champaign, and her doctorate from the Tokyo Institute of Technology.

In the interview, Noriko and Scott discuss the challenge of being a creative in the modern academic environment, where publishing is paramount, and how her multidisciplinary background, which spans law, economics, and mathematics, has been an asset in her scientific research. She also mentions her 2010 book, How Computers Can Take Over Our Jobs, and how that led to her work on the Todai Robot Project. Noriko offers her thoughts on the pros and cons of ChatGPT and similar technologies for society. She also mentions her mentors and heroes who have inspired her and shares some of the challenges faced by female researchers in Japan.

In this episode of ACM ByteCast, Rashmi Mohan hosts Eugenio Zuccarelli, Data Science Manager at CVS Health, where he leads innovation efforts for complex chronic care. He’s a business-focused data science leader who has worked for other Fortune 500 companies across several industries, including healthcare analytics, automotive, financial, and fintech. He has also worked in the COVID-19 Policy Alliance task force using analytics to fight COVID-19 and develop policy recommendations for The White House and finding solutions to fight the pandemic. In addition to scientific journals, his work has been featured in Forbes, The Washington Post, Bloomberg, and Financial Times and his recognitions include Forbes 30 Under 30, Fortune 40 Under 40, and being a TEDx Speaker.

In this episode, part of a special collaboration between ACM ByteCast and the American Medical Informatics Association (AMIA)’s For Your Informatics podcast, hosts Sabrina Hsueh and Adela Grando welcome Regina Barzilay, a School of Engineering Distinguished Professor of AI & Health in the Department of Computer Science at the Massachusetts Institute of Technology and the AI Faculty Lead at MIT Jameel Clinic. She develops machine learning methods for drug discovery and clinical AI. In the past, she worked on natural language processing. Her research has been recognized with the MacArthur Fellowship, an NSF Career Award, and the AAAI Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity. Regina is a member of the National Academy of Engineering and American Academy of Arts and Sciences.

Regina describes her career journey, and how a personal experience with the healthcare system led her to work on an AI-based system for the early detection—and prediction of—breast cancer. She explains why entering the interdisciplinary field of clinical AI is so challenging and offers valuable advice on how to overcome some of these challenges. Regina also opines on new models for using AI, including the promise of ChatGPT in healthcare. Finally, she talks about inequity in medicine, and offers actionable insights on how to mitigate these shortfalls while moving the field of clinical AI forward.

In this episode of ACM ByteCast, Bruke Kifle hosts Kush Varshney, a distinguished research scientist and manager at IBM Research in New York. He leads the machine learning group in the Foundations of Trustworthy AI Department, where he applies data science and predictive analytics to the fields of healthcare, public affairs, algorithmic fairness, and international development. He is also the founding co-director of the IBM Science for Social Good initiative. He has contributed to the development of several open-source toolkits such as AI Fairness 360 and AI Explainability 360. In 2022, he independently published the book Trustworthy Machine Learning. Kush has been recognized with the Extraordinary IBM Research Technical Accomplishment Award for contributions to workforce innovation and enterprise transformation, and IBM Corporate Technical Awards for Trustworthy AI and for AI-Powered Employee Journey.

Kush shares a few key moments which have helped to shape the course of his career thus far, including his graduate days at MIT and joining IBM Research. He defines responsible AI and talks about operationalizing RAI principles, as well as the importance of finding a balance between the technical and social aspects of AI. He also discusses some of the risks—both short- and long-term—inherent in emerging technologies such as generative AI, and how various stakeholders can play a role in coordinating AI safety. Kush also mentions his book, his work with IBM’s Science for Social Good, and some of the things that excite him about the future of AI.

In this episode of ACM ByteCast, Rashmi Mohan hosts Anima Anandkumar, a Bren Professor of Computing at California Institute of Technology (the youngest named chair professor at Caltech) and the Senior Director of AI Research at NVIDIA, where she leads a group developing the next generation of AI algorithms. Her work has spanned healthcare, robotics, and climate change modeling. She is the recipient of a Guggenheim Fellowship and an NSF Career Award, and was most recently named an ACM Fellow, among many other prestigious honors and recognitions. Her work has been extensively covered on PBS, in Wired magazine, MIT Tech Review, YourStory, and Forbes, with a focus on using AI for good.

Anima talks about her journey, growing up in a house where computer science was a way of life and family members who served as strong role models. She shares her path in education and research at the highly selective IIT-Madras, the importance of a strong background in math in her computing work, and some of the breakthrough moments in her career, including work on using tensor algorithms to process large datasets. Anima spends some time discussing topic modeling and reinforcement learning, what drives her interests, the possibilities of interdisciplinary collaboration, and the promise and challenges brought about by the age of generative AI.

In this episode, part of a special collaboration between ACM ByteCast and the American Medical Informatics Association (AMIA)’s For Your Informatics podcast, hosts Sabrina Hsueh and Adela Grando welcome Mor Peleg, Professor of Information Systems at the University of Haifa and Founding Director and Head of its Data Science Research Center. She is Editor in Chief of the Journal of Biomedical Informatics and an international fellow of the American College of Medical Informatics (ACMI). She received AMIA's New Investigator Award for work on the GLIF3 guideline modeling language. Mor is a renowned researcher in clinical guideline-based decision support.

Initially fascinated by biomedical engineering, Mor shares how she arrived at the intersection of information systems and medicine, after working in IT and completing her postdoctoral research at Stanford. She mentions her recent project, MobiGuide, which aims to narrow the gap between clinical guidance and patient needs by providing 24/7 decision support to patients and providers. Its current focus is on improving the mental wellbeing of cancer patients through evidence-based practices such as exercise, yoga, and positive psychology. Mor also shares advice for people (especially women) looking to work in interdisciplinary fields. She emphasizes the importance of health equity and how AI can be employed in the service of detecting unfairness.

In this episode of ACM ByteCast, our special guest host Scott Hanselman (of The Hanselminutes Podcast) welcomes 2022 ACM A.M. Turing Award Laureate Robert Metcalfe, Emeritus Professor of Electrical and Computer Engineering at The University of Texas at Austin and Research Affiliate in Computational Engineering at the Massachusetts Institute of Technology (MIT) Computer Science & Artificial Intelligence Laboratory (CSAIL). Metcalfe received his Turing Award for the invention, standardization, and commercialization of Ethernet, the foundational technology of the Internet, which supports more than 5 billion users and enables much of modern life. His other honors include the National Medal of Technology, IEEE Medal of Honor, Marconi Prize, Japan Computer & Communications Prize, ACM Grace Murray Hopper Award, and IEEE Alexander Graham Bell Medal. He is a Fellow of the US National Academy of Engineering, the American Academy of Arts and Sciences, and the National Inventors, Consumer Electronics, and Internet Halls of Fame.

In a wide-ranging interview, Bob reflects on his “Ethernet paper” with David Boggs from 1976, and how the interoperability and backward compatibility baked into the Ethernet allows the technology to hold up today, in the age of Netflix and Zoom. Bob also describes his most recent project, modeling geothermal wells as a computational engineer at MIT, with the aim of harnessing geothermal energy as an alternative to fossil fuels. Along the way, they touch on “stretch goals,” GPUs, and how far down “the stack” one needs to go to fully appreciate and understand a piece of technology. 

In this episode of ACMByteCast, Bruke Kifle hosts H.-S. Philip Wong, the Willard R. and Inez Kerr Bell Professor of Electrical Engineering in the School of Engineering at Stanford University. He is also Chief Scientist of the Taiwan Semiconductor Manufacturing Company (TSMC), where he was previously Vice President of Corporate Research. His works have contributed to advancements in nanoscale science and technology, semiconductor technology, solid-state devices, and electronic imaging. Philip’s current research covers a broad range of topics including carbon electronics, 2D layered materials, wireless implantable biosensors, directed self-assembly, device modeling, brain-inspired computing, non-volatile memory, and 3D system integration. He is an IEEE Fellow and has received numerous awards, including the J.J. Ebers Award, the IEEE Electron Devices Society’s highest honor recognizing outstanding technical contributions to the field of electron devices that have made a lasting impact.

Philip starts by sharing how he entered the field of electrical engineering, fueled by an interest in science and physics. He talks about the key challenges of scaling down technologies and what he believes will be the next major technological breakthrough, which will create exciting opportunities for those just joining the industry. He discusses the potential of drawing inspiration from biological systems in designing better computing systems and developments in non-volatile memory. Philip also talks about exploring the practical applications of technology in his roles as Faculty Director for Stanford’s NanoFab Lab and Stanford SystemX Alliance, as well as at TSMC. Finally, he offers advice for aspiring engineers and touches on the ethical and environmental implications of some of the biggest emerging trends.