Anyscale Learning For All

Scalable machine learning technology, evolutionary algorithms, and data science frameworks for large-scale knowledge mining, prediction, analytics, and optimization with projects in cyber security, MOOC technology, software analysis, and clinical medicine


Research Themes

Artificial Adversarial Intelligence MOOC Data Analytics

Applications: Adversarial dynamics modeling, adversarial examples, adversarial hardening, malware detection and classification, automatic program analysis for vulnerabilities, deception, segmentation and peer to peer network defenses against DDOS, lateral stage and scanning attacks; artificial intelligence; MOOCs on computational thinking and programming, MOOC clickstream and activity data analysis with deep learning; Large scale physiological time series, EEG and other vital signals, leveraging deep learning and similarity-based retrieval.


Featured ALFA News!

The Status of Artificial Intelligence
ZDNet, April 2020
Tanya Hall at ZDNet speaks with Dr. Una-May O'Reilly to discuss her work on adversarial artificial intelligence.



Diversity Drives Innovation and Learning

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.

Representation matters.

We want our 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.



ALFA's research would not be possible without the past and ongoing support of our industry sponsors
The views, opinions and positions expressed by ALFA Group and on this site are theirs alone, and do not necessarily reflect the views, opinions or positions of their sponsors
ALFA Group is formerly the Evolutionary Design and Optimization Group

Recent News



Artificial Intelligence and Malware Detection
Una-May O'Reilly
MIT Horizon - Expert Sessions

The Dynamics of Intelligent Cyber Adversaries
Una-May O'Reilly
Plenary Speaker, New England Complex Systems Institute International Conference on Complex Systems (NECSI-ICCS) 2020

Women in AI - Interview Series
Una-May O'Reilly
MIT Women in Machine Learning Group

Darktrace In Conversations With
Una-May O'Reilly
Dartrace Digital Event Series

The Neural Basis of Comprehending Programs
Shashank Srikant
Brown University Reading Group

We bid farewell to Dirk Schweim, visiting PhD student from the Computer Science Department on Information Systems, Johannes Gutenberg University, Mainz Germany



We welcome summer UROPs: Tamara Mitrovska, Rene Reyes, Kate Xu and Boom Tiankanon. Michal Shlapentokh-Rothman returns as a post-graduate researcher for a partial summer term. We welcome visitors: Shasha Shashkov Williams College undergrad, Jake Springer Swarthmore College undergrad. We welcome back Hannah Burd, as a visiting undergrad student from Dartmouth College and Robert Gold as a research intern.



The Promise of AI: Cyber, Healthcare, and the New World
Una-May O'Reilly
Wired-Dartrace Panel Discussion, Cybersecurity Livestream
Related article "AI Will Be A Crucial Tool in the Fight Against Next-Generation Security Threats"


Chathika Gunaratne joins ALFA on a Quest for Intelligence project entitled Reopening COVID Risk Forecasting System


Jamal Toutouh "Algorithms Inspired by Nature & Deep Learning" Communidad ECUSA, 2019

#Evisibility-TV goes to MIT! Dr. Jamal Toutouh welcome us to chat about Artifical Intelligence and neuronal networks. Jamal explained how mathematical methods inspired by nature can help us solving day-to-day problems. Jamal dared to dream and believe in himself and now is working on what passionate him the most.




Check out the new Summer UROP and Fall SuperUROP projects!

Una-May O'Reilly "The Status of Artificial Intelligence" ZDNet, April 2020

Tonya Hall speaks with Dr. Una-May O'Reilly to learn more about the current status of artificial adversarial intelligence and the strengths of adversarial dynamics over model-based malware detectors.




We welcome Chathika Gunaratne, visiting postdoc from Complex Adaptive Systems Lab, University of Florida, Orlando Florida USA

ALFA welcomes back students for the Spring 2020 semester

We welcome Dirk Schweim, visiting PhD student from the Computer Science Department on Information Systems, Johannes Gutenberg University, Mainz Germany




ALFA welcomes a new group member, Bryn Reinstadler - PhD Candidate in Machine Learning.





Una-May is reconized for oustanding contributions in 2018 peer review by Nature Research journals!

Artificial Adversarial Intelligence
Una-May O'Reilly
MIT Horizon live event webinar, Cambridge MA USA

Jitesh Maiyuran, Ayesha Bajwa, Ana Bell, Erik Hemberg, Una-May O'Reilly awarded Best Student Paper Award for How Student Background and Topic Impact the Doer Effect in Computational Thinking MOOCs, presented by Erik Hemberg during the conference IEEE LWMOOCS 2019 Milwaukee, 25th of October, 2019.




Artificial Adversarial Intelligence: What Star Wars Teaches Us About Adversarial Dynamics
Una-May O'Reilly
Symposium and Inaugural Speech for Prof. Dr. Peter A.N. Bosman: Back to the Future and Beyond; Traversing the Ever-evolving Landscape of Evolutionary Algorithms
Delft University of Technology, Delft Netherlands

ALFA welcomes new M.Eng and SuperUROP students to the group

Representation Learning for Code Malware
Sanja Simonovikj, ALFA UROP
IBM AI Research Week, AI Horizons Colloquium Poster Social
MIT Samberg Conference Center, Cambridge MA