ACM ByteCast

In this episode of ACM ByteCast, Rashmi Mohan hosts 2017 ACM Grace Murray Hopper Award recipient Amanda Randles, the Alfred Winborne and Victoria Stover Mordecai Assistant Professor of Biomedical Sciences at Duke University’s Department of Biomedical Engineering. She is also Assistant Professor of Computer Science and Biomedical Engineering and a member of the Duke Cancer Institute. She has received the National Science Foundation Career Award and was selected as one of the 10 researchers to work on the Aurora Exascale Supercomputer. Her visionary work in simulating blood flow through the human body in a system called HARVEY, led her to be featured in the MIT Tech Review Innovators Under 35 list. Amanda talks about growing up in Michigan and being inspired early on by her high school computer science teacher. She talks about her passion, which lies in using the largest supercomputers in the world to answer questions otherwise left unanswered, and her Duke research group’s focus on building large scale personalized blood flow simulations. She also discusses her 3-year involvement with IBM’s Blue Gene Team, where she learned how to debug programs and identify and work through problems collaboratively, and her time at Harvard University, where she learned about fluid dynamics and started writing HARVEY from scratch. She also describes the fascinating contributions her team made to address ventilator shortages during the early days of the COVID-19 pandemic.

In this episode of ACM ByteCast, our special guest host Scott Hanselman (of The Hanselminutes Podcast) welcomes Jelani Nelson, Professor of Electrical Engineering and Computer Science and a member of the Theory Group at the University of California, Berkeley and a Research Scientist at Google. His areas of interest include the theory of computation, as well as the design and analysis of algorithms, especially for massive datasets. Jelani is a member of ACM's Special Interest Group on Algorithms and Computation Theory (SIGACT)’s Committee for the Advancement of Theoretical Computer Science (CATCS). Among his honors, he won the 2014 Presidential Early Career Award for Scientists and Engineers. He is the creator of AddisCoder, a computer science summer program for Ethiopian high school students in Addis Ababa. Jelani and Scott discuss his journey from learning HTML when he was 12 to becoming a theoretical computer scientist. They talk about the spectrum between software engineering and theory and how even theoretical CS research can have an impact on industry practice; teaching his introduction to algorithms course of more than 700 students; running a highly successful algorithmic boot camp for students in Ethiopia to learn coding; and the times he feels most accomplished in his work. Links: AddisCoder People of ACM interview with Jelani Nelson CATCS SIGACT

In this episode, Luiz André Barroso, Google Fellow and ACM-IEEE CS Eckert-Mauchly Award recipient, talks about his background in computing, strategies for building efficiencies and hardware acceleration, passion for building Google Maps and Google Earth, opportunities for industry-wide collaborations and energy efficiency in data centers, and excitement for machine learning and online safety.

In this episode of ACM ByteCast, Rashmi Mohan hosts 2021-2022 ACM Athena Lecturer Ayanna Howard, Dean of the College of Engineering at The Ohio State University and founder and President of the Board of Directors of Zyrobotics. Previously she was chair of the Georgia Institute of Technology School of Interactive Computing in the College of Computing, where she founded and led the Human-Automation Systems Lab (HumAnS). Before that, she worked at NASA’s Jet Propulsion Laboratory (JPL). She is a Fellow of AAAI and IEEE. Among her many honors, Howard received the Computer Research Association’s A. Nico Habermann Award and the Richard A. Tapia Achievement Award. Forbes named her to its America's Top 50 Women in Tech list. In the interview Ayanna looks back on her early love of robotics, inspired by science fiction, teaching herself how to program, and working a high school job at the California Institute of Technology. She shares some of her favorite research projects at JPL, where she designed expert systems, and describes the transition from government/industrial work to academia. She also talks about AI challenges relating to training models and large-scale deployment of lab-tested algorithms—offering warnings for technologists—as well as some potential solutions from her research. Rashmi and Ayanna also touch on her company, Zyrobotics, which develops mobile therapy and educational products for children with special needs, and her book, Sex, Race, and Robots: How to Be Human in the Age of AI.

In this episode of ACM ByteCast, Rashmi Mohan hosts Mounia Lalmas, Director of Research and Head of Tech Research in Personalization at Spotify, leading a team of researchers in content personalization and discovery. Prior to that, she was Director of Research at Yahoo London. She also holds an Honorary Professorship at University College London. Mounia’s work focuses on studying user engagement in areas such as native advertising, digital media, social media, and search, and now audio (music and talk). She is a frequent conference speaker, author, and organizer whose research has appeared at many ACM (and other) conferences, including CIKM, RecSys, SIGIR, SIGKDD, UMAP, WSDM, WWW, and more. Mounia relates her beginnings in computing as a young student growing up in Algeria, her love for mathematical abstraction, and passion for evaluation and user engagement. She also traces her interest in the field of information retrieval and highlights some of the challenges in building robust recommender systems for music lovers. Mounia and Rashmi also discuss the differences between academic and industrial research, the important role conferences and networking play in computing research, and what excites her most in the fields of personalization research and information retrieval.

In this episode of ACM ByteCast, Rashmi Mohan hosts Bryan Cantrill, Co-founder and Chief Technology Officer at Oxide Computer Company and a past member of the ACM Queue Editorial Board. Previously, he was Vice President of Engineering and CTO at Joyent. He is known for his work on the award-winning DTrace software, a comprehensive dynamic tracing framework for which he was included in MIT Technology Review’s TR35 (35 Top Young Innovators) list. Bryan describes discovering computing as a kid growing up in the 80s and falling in love with the challenge of solving difficult problems and getting hard programs to work. He talks about DTrace, which he first conceived as an undergraduate at Brown University and co-designed at Sun Microsystems (later acquired by Oracle). He also explains why he thinks open source will conquer every domain, his current challenge of designing a rack-scale computer for the enterprise, and much more.

In this episode of ACM ByteCast, our special guest host Scott Hanselman (of The Hanselminutes Podcast) welcomes 2013 ACM A.M. Turing Award laureate Leslie Lamport of Microsoft Research, best known for his seminal work in distributed and concurrent systems, and as the initial developer of the document preparation system LaTeX and the author of its first manual. Among his many honors and recognitions, Lamport is a Fellow of ACM and has received the IEEE Emanuel R. Piore Award, the Dijkstra Prize, and the IEEE John von Neumann Medal. Leslie shares his journey into computing, which started out as something he only did in his spare time as a mathematician. Scott and Leslie discuss the differences and similarities between computer science and software engineering, the math involved in Leslie’s high-level temporal logic of actions (TLA), which can help solve the famous Byzantine Generals Problem, and the algorithms Leslie himself has created. He also reflects on how the building of distributed systems has changes since the 60s and 70s. Subscribe to the Hanselminutes Podcast: https://www.hanselminutes.com/. Links: Time-Clocks Paper Bakery Algorithm Mutual Exclusion Algorithm

In this episode of ACM ByteCast, Rashmi Mohan hosts Suchi Saria, the John C. Malone Associate Professor of Machine Learning and Healthcare at Johns Hopkins University, where she uses big data to improve patient outcomes. She directs the Machine Learning and Healthcare Lab and is the founding research director of the Malone Center for Engineering in Healthcare. Saria has worked on projects with the NSF, NIH, DARPA, and the FDA and is the founder of Bayesian Health. Her many recognitions include Popular Science magazine’s “Brilliant 10”, the MIT Technology Review’s 35 Innovators Under 35, and World Economic Forum Young Global Leader. Suchi describes tinkering with LEGO Mindstorm and reading about AI and the future as a child in India and how, years later, she ended up at the forefront of applying machine learning techniques to computational biology. She explains how ML can help healthcare go from a reactive to a predictive and preventive model, and the challenge of making sure that the medical data collected is actionable, interpretable, safe, and free of bias. She also talks about the transition from research to practice and offers her best advice for students interested in pursuing computing.

In this episode of ACM ByteCast, Rashmi Mohan hosts past ACM Grace Murray Hopper Award recipient Luis von Ahn, co-founder and CEO of Duolingo, the world's most popular language-learning platform. He is also a Consulting Professor in the Computer Science Department at Carnegie Mellon University. Known as one of the pioneers of crowdsourcing, his many recognitions include the MacArthur Fellowship, MIT Technology Review's TR35, and the Lemelson-MIT Prize. They discuss how he, Manuel Blum, and others at Carnegie Mellon conceived the now famous technology behind reCAPTCHA, the company he founded before Duolingo, and sold to Google in 2009. Von Ahn gives insight into his journey toward harnessing the power of crowdsourcing to provide free, globally distributed language learning. They discuss the dominance of the English language in computing, the benefits and challenges of starting a company in Pittsburgh, some Duolingo user stories Luis has found particularly gratifying, and more.

In this episode of ACM ByteCast, Rashmi Mohan hosts Ramesh Raskar, Associate Professor at MIT Media Lab where he directs the Camera Culture research group. He holds more than 90 patents in computer vision, computational health, sensors, and imaging, and has co-authored books on Spatial Augmented Reality, Computational Photography, and 3D Imaging. His many awards and recognitions include the prestigious 2004 TR100 (MIT Technology Review), 2016 Lemelson–MIT Prize, and 2017 ACM SIGGRAPH Award. Raskar discusses the fascinating research field dedicated to capturing and recording the world in new ways. He explains how computer vision provides a new eye and brain to help us both in seeing and processing the world and shares his recent work with extremely high-speed imaging. He also mentions his COVID-19 project: developing privacy-first contact-tracing tools to stem the spread of the outbreak. Raskar also discusses balancing entrepreneurship and research, and his REDX project to bring peer-to-peer invention to his students and advance AI for Impact. Follow Ramesh and PathCheck Foundation on Twitter. Camera Culture research group at MIT Media Lab. PathCheck Foundation (COVID-19 research & technology)