Principal Investigator Una-May O'Reilly
Co-investigator Erik Hemberg
Project Website http://alfagroup.csail.mit.edu/12.x/tiki-index.php
The vision at the Anyscale Learning for All Group is a data-driven machine learning systems that advance the quality of healthcare, the understanding of cyber arms races and the delivery of online education. The goal is to invent applied system technologies that exploit state of art AI and machine learning. Research Themes include Artificial Adversarial Intelligence, Understanding Programs & Programming nS Data Analytics.
Applications: Adversarial dynamics modeling of networks, adversarial examples in malware and software, adversarial hardening, malware detection and classification, automatic program analysis for vulnerabilities, security by deception, security by segmentation, and peer to peer network defenses against DDOS, lateral stage and scanning attacks; MOOCs on computational thinking and programming, MOOC clickstream and activity data analysis with deep learning; medical experimental analytics, COVID-19 agent-based modeling.
At the Anyscale Learning For All (ALFA) Group, we mean Anyscale Learning for ALL. ALFA is dedicated to cultivating an inclusive culture that supports, promotes, and empowers diverse voices in Computer Science & AI. Our focus is to improve and build machine learning, AI, and data analytics technology that works for everyone.
We want research to be representative of everyone who benefits and learns from it. We value people with different experiences, perspectives, and backgrounds - it’s the cornerstone of our approach to learning and research. We celebrate diversity along many axes: race, religion, ethnicity, age, sex, national origin, sexual orientation, gender identity, gender expression, genetic disposition, neurodiversity, disability, veteran status and any other aspect which makes you unique.