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  • In this episode of ACM ByteCast, Rashmi Mohan hosts 2021 ACM Fellow Edward Y. Chang, an Adjunct Professor in the Department of Computer Science at Stanford University. Prior to this role, he was a Director of Google Research and President of HTC Healthcare, among other roles. He is the Founder and CTO of Ally.ai, an organization making groundbreaking moves in the field using Generative AI technologies in various applications, most notably healthcare, sales planning, and corporate finance. He’s an accomplished author of multiple books and highly cited papers whose many awards and recognitions include the Google Innovation Award, IEEE Fellow, Tricorder XPRIZE, and the Presidential Award of Taiwan. Edward also also credited as the inventor of the digital video recorder (DVR), which replaced the traditional tape-based VCR in 1999 and introduced interactive features for streaming videos.

    Edward, who was born in Taipei, discusses his career, from studying Operations Research at UC Berkeley to graduate work at Stanford University, where his classmates included the co-founders of Google and where his PhD dissertation focused on on a video streaming network that became DVR. Later, at Google, he worked on developing the data-centric approach to machine learning, and led development of parallel versions of commonly used ML algorithms that could handle large datasets, with the goal of improving the ML infrastructure accuracy to power Google’s multiple functions. He also shares his work at HTC in Taipei, which focused on healthcare projects, such as using VR technology to scan a patient’s brain; as well as his current interest, studying AI and consciousness. He talks about the challenges he’s currently facing in developing bleeding edge technologies at Ally.ai and addresses a fundamental question about the role of human in a future AI landscape.

  • In this episode of ACM ByteCast, Bruke Kifle hosts Jacki O'Neill, Director of the Microsoft Africa Research Institute (MARI) in Nairobi, Kenya, where she is building a multi-disciplinary team combining research, engineering, and design to solve local problems globally. Her research interests span AI, HCI, social science, and technology for emerging markets. An ethnographer by trade, Jacki has focused on technologies for work—with the aim of making work better; and technologies for societal impact, with the aim of supporting underserved communities. She has led major research projects in the future of work from new labor platforms to workplace AI and chat; digital currencies and financial inclusion; and Global Healthcare. She has received two innovation awards and 16 patents (from new interaction mechanisms to crowdsourcing), and has served on the program and organizing committees of major conferences such as CHI, CSCW, ICTD, and ECSCW for many years.

    In the interview, Jacki traces her path from her early days growing up in Plymouth, UK to discovering an interest in computing at the University of Manchester after initially studying psychology. She describes how her background has influenced her approach in the design of technology and some primary methodologies she has used. Jacki reflects on the establishment and mission of MARI, and the benefits and challenges of collaborating across different multidisciplinary teams. She also shares what she sees as the biggest opportunities for technology in Africa and what local problems can be solved, touching on her approach to cross-cultural differences such as AI and equitable language systems. Finally, Jacki offers some exciting future directions and visions for computing in Africa and advice for making a social impact in the field.

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  • 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.Eugenio discusses how early passions in engineering, technology, and robotics led him to work in AI and data science, and a lack of the human component in these fields has driven his work. He describes his work on MIT Media Lab’s Project US, which uses AI and advanced biosignal processing to help people become more effective and empathetic leaders and organizations make tangible progress towards their HR goals, and how that research shifted when COVID hit and people worked from home. Eugenio and Rashmi also touch on the common challenges and concerns across different industries, such as data sharing and privacy, and his views on synthetic data. He also shares some of the most important lessons learned in his career and offers advice for students looking to build solutions with machine learning.

  • 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. Link: "Ethernet: Distributed Packet Switching for Local Computer Networks" (Metcalfe and Boggs' classic 1976 article in Communications of the ACM)

  • 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.

  • In this episode of ACM ByteCast, Rashmi Mohan hosts Pattie Maes, a professor at MIT's Program in Media Arts and Sciences. Pattie runs MIT Media Lab's Fluid Interfaces research group, which does research at the intersection of Human Computer Interaction and Artificial Intelligence with a focus on applications in health, wellbeing, and learning. She is also a faculty member in MIT's center for Neuro-Biological Engineering. She has been a researcher, a serial entrepreneur and mentor, a book and journal editor, and a recipient of numerous awards, including recognitions from Newsweek, TIME, AAAI, Fast Company, the World Economic Forum, and Ars Electronica. In addition to her academic endeavors, Pattie co-founded several venture-backed companies, including Firefly Networks, Open Ratings, and Tulip. She is also an advisor to several early-stage companies, including Earable and Spatial.

    Pattie recounts her path to computing as one of the first people to major in computer science in Belgium and, later, as the only woman in the AI lab at MIT. She provides historical perspective on the cyclical nature of the field of AI and explains her passion for building systems that make people, rather than machines, more intelligent. She also recalls some of the designs and applied technologies she has worked on throughout her celebrated career, including recommender systems (before web browsers) and wearable devices (before cell phones). Finally, Pattie offers her thoughts on building diverse teams and what she’s most excited about in the field of AI.

  • In this episode of ACM ByteCast, Rashmi Mohan hosts 2015 ACM A.M. Turing Award laureates Whitfield Diffie and Martin Hellman. As joint creators of the Diffie-Hellman key exchange, they introduced the world to the transformative idea of public key cryptography, the underpinning of every secure transaction on the internet today. Whitfield has spent a large portion of his career as a security practitioner, including roles at Northern Telecom and Sun Microsystems. He is an elected Foreign Member of the Royal Society and a recipient of numerous other awards and accolades in computing. He's currently a consulting scholar at the Center for International Security and Cooperation at Stanford University. Martin is a Professor Emeritus of Electrical Engineering at Stanford University. He's also a recipient of the RSA Lifetime Achievement Award, among many other recognitions. Both have received the Marconi Prize and have been inducted into the National Cybersecurity Hall of Fame and the National Inventors Hall of Fame.

    Whitfield and Martin share their individual journeys to computer science and cryptography, which were shaped both by personal interests and the geopolitical realities of the time. They also describe how they met and developed a rapport with each other as researchers. They share their “aha moment” in public key cryptography and how the internet catapulted commercial cryptography in the 1990s. They also share their thoughts on computing privacy, national security, and quantum computing and its implications for both Diffie-Hellman and RSA (Rivest-Shamir-Adleman) cryptosystems. They touch on end-to-end encryption and the field of technology in the next five years. Along the way, they share colorful details from their early years and share advice for young people aspiring to get into computing

  • 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 Sullafa Kadura welcome Holly Urban, a pediatrician and clinical informaticist. After working for several years as a practicing pediatrician, Holly transitioned to working in product management roles for Healthcare IT vendors, including product leadership roles at McKesson and Hearst Health. Most recently, Holly was Chief Medical Informatics Officer (CMIO) at Oracle Cerner before recently starting a new role as VP of Clinical Product Design at CliniComp.

    Holly describes how she became interested in medical informatics, product design, and management and how that inspired her to serve in an ambassador role between clinical and technical teams. She talks about transitioning from her role as CMIO at Oracle Cerner where she focused on software implementation and deployment to designing a new electronic health record (EHR) system at CliniComp. She stresses the importance of data literacy to analyze the reams of data generated by EHR and the promise of AI and ML in measuring effectiveness of interventions such as medical procedures and medications—as well as the issue of bias with these tools. Lastly, Holly shares valuable advice for professionals who are thinking about switching job roles.

  • In this episode of ACM ByteCast, Bruke Kifle hosts Pat Pataranutaporn, technologist and researcher at the Massachusetts Institute of Technology (MIT). There, he explores the intersection of synthetic virtual humans and synthetic biology, specifically at the interface between biological and digital systems. He is currently a PhD candidate at the Fluid Interfaces Group at the MIT Media Lab and a KBTG Fellow. Pat's research has been published in Nature Machine Intelligence, Nature Biotechnology, IEEE, ACM SIGCHI, ACM SIGGRAPH, ACM ISWC, ACM Augmented Humans, Royal Society of Chemistry, among others. He also serves as a reviewer and editor for IEEE and ACM publications. Pat’s published research is recognized worldwide and has been featured in the United Nations AI for Good forum, Time magazine, Forbes, National Geographic, FastCompany, The Guardian, Disruptive Innovation Festival, and more.

    In the interview, Pat describes how his early fascination with dinosaurs led him into the scientific realm, and later to the MIT Media Lab, where people are encouraged to think about future challenges rather than just focusing on solving current problems. He explains the research area of fluid interfaces and describes some of the innovative work his group has been doing on human-AI co-reasoning. Pat and Bruke also about the future potential of AI in education and wearable devices, as well as MIT’s recent space exploration initiative. Pat also offers his perspectives on art and innovation, identifies the exciting new directions currently holding his attention, and offers advice for young people interested in the field of computing.

  • In this episode of ACM ByteCast, Rashmi Mohan hosts members of team V Bionic, who won the Imagine Cup 2022 grand prize for ExoHeal, a modular exoskeletal hand rehabilitation device that utilizes neuroplasticity and Azure technology to provide adaptive and gamified rehabilitation exercises to people with hand paralysis. The team includes Zain A. Samdani, Founder and CEO, who initially came up with the idea for ExoHeal; Faria Zubair, Head of Design, who improved the design and transformed the prototype to make it feel like a second skin; Asfia Jabeen Zubair, Operations Manager, who provided her ability to deal with people and patients and secured the input and advice of a scientific society comprised of neuroscientists; and Ramin Udash, CTO and application developer, who contributed his expertise in building robotics and applications.

    The guests describe their backgrounds and how they got involved in computing and robotics. They explain how ExoHeal works, the biggest challenges the team faced while building it, how it is powered, and, importantly, how they’ve been able to make it portable and affordable. They also discuss what the future holds for their company, including the product launch. Along the way, the discuss how each member was able to contribute their individual talents and experiences to the project and some of the highs and lows of creating ExoHeal.

  • In this episode of ACM ByteCast, Rashmi Mohan hosts Neil Trevett, Vice President of Developer Ecosystems at NVIDIA and the President of the Khronos Group, a nonprofit consortium publishing open standards in a variety of areas related to computer graphics. He has worked to bring about standardization in the graphics world, giving developers the ability to extend and expand the capabilities of their visual systems. His accomplishments include bringing interactive 3D graphics to the web, creation of the glTF format for 3D assets, and recently founding the Metaverse Standards Forum.Neil talks about what drew him to computer science and how he became interested in the visual impact of 3D graphics, a field in which he has spent most of his career. He unpacks the evolution of computer graphics and discusses his role at NVIDIA, where his work focuses on helping developers make good use of GPUs. He also explains the benefits of standardization in industry and how open standards can enable innovation and interoperability. Neil also explains how 3D is changing the landscape of e-commerce and online shopping and gives his perspective on the Metaverse and how it can leverage other disruptive technologies.

  • In this episode of ACM ByteCast, Bruke Kifle hosts Matei Zaharia, computer scientist, educator, and creator of Apache Spark. Matei is the Chief Technologist and Co-Founder of Databricks and an Assistant Professor of Computer Science at Stanford. He started the Apache Spark project during his PhD at UC Berkeley in 2009 and has worked broadly on other widely used data and machine learning software, including MLflow, Delta Lake, and Apache Mesos. Matei's research was recognized through the 2014 ACM Doctoral Dissertation Award, an NSF Career Award, and the US Presidential Early Career Award for Scientists and Engineers.

    Matei, who was born in Romania and grew up mostly in Canada, describes how he developed Spark, a framework for writing programs that run on a large cluster of nodes and process data in parallel, and how this led him to co-found Databricks around this technology. Matei and Bruke also discuss the new paradigm shift from traditional data warehouses to data lakes, as well as his work on MLflow, an open-source platform for managing the end-to-end machine learning lifecycle. He highlights some recent announcements in the field of AI and machine learning and shares observations from teaching and conducting research at Stanford, including an important current gap in computing education.

  • In this episode of ACM ByteCast, our special guest host Scott Hanselman (of The Hanselminutes Podcast) welcomes research scientist, software engineer, and entrepreneur Yaw Anokwa. Yaw is the founder and CEO of ODK (Open Data Kit), the offline data collection platform that helps fight disease, poverty, and inequity. He holds a PhD in computer science from the University of Washington and likes to keep his bio short and sweet.

    Yaw describes how he felt the urge to pivot his career into a direction of positive social impact as a graduate student at the University of Washington. A volunteer experience with Partners in Health in Rwanda and a software engineering internship at Google showed him the potential for technology to empower people and change lives—specifically through ODK—which became his chief project and passion. Yaw and Scott discuss ODK’s main differentiator, “powerful offline forms,” as well as user interface affordances made to customize ODK for its users, such as rural farmers in Uganda. He also shares the joy of working on a product that focuses on public good and some principles that have helped him to succeed.

    Link: https://getodk.org/