human genome
Understanding the Science of Disease Through Human Genome Research with Manolis Kellis
Manolis Kellis
Professor, MIT CSAIL

MIT CSAIL Professor Manolis Kellis discusses how the symbiotic relationship between computer science and biology helps us to better understand the complex programming language that is our DNA. Through DNA, we can find the molecular basis of the pathophysiology of a disease and take a more holistic approach to disease treatment, and one day may even predict disease. He explains the impact of human genome and epigenome research on the pharmaceutical industry in developing medicine that is both precise and personalized, dramatically transforming the therapeutic landscape.

algorithms
Machine Learning and Algorithmic Challenges with Aleksander Madry
Aleksander Mądry
Professor, MIT EECS

Aleksander Madry, Associate Professor at CSAIL, tackles key algorithmic challenges in today’s computing as part of his work in the Theory of Computation Group at CSAIL. His work is described as re-thinking machine learning from the perspective of security and robustness. Madry discusses the evolution of the human and machine interaction and provides insight on adoption of M/L systems over the next few years.

David Clark podcast
Designing the Internet of the Future with David Clark
David Clark
Senior Research Scientist, MIT CSAIL

Are we even sure what the internet is today? One of the original architects of the internet, David Clark, Senior Research Scientist at CSAIL, talks about shaping the future of the internet, the potential challenges and what it could become.

Julie Shah
Humans and Intelligent Machine Support through Robotics and Automation with Julie Shah
Julie Shah
Professor, MIT Department of Aeronautics and Astronautics, Director, Interactive Robotics Group

Julie Shah discusses the challenges and successes of designing and employing intelligent design teammates that aim to enhance human productivity in descion-making and physical tasks through using reverse engineering methods and computational models. She shares how research is exposing robots to building skills that allow them to infer and anticipate their human counterpart's next move and motives within a given situation and the flexibility to adapt and adjust outside of predetermined plans.

Andrew Lo
The Intersection of Finance, Cryptography and AI with Professor Andrew W. Lo
Andrew Lo
Faculty Director, FinTechAI@CSAIL, Charles E. and Susan T. Harris Professor, MIT Sloan School of Management, Director, MIT Laboratory for Financial Engineering

Professor Andrew W. Lo shares insight into the collaborative research efforts of MIT CSAIL and MIT Sloan School of Management within the three distinct areas of cryptography, machine learning and AI, as well as discusses the progress of blockchain technology and cryptocurrency. He also offers a glimpse into the future of banking and finance and reveals the emerging technology of secured multi-party computation.