Anyscale Learning For All

Machine learning technology, evolutionary algorithms, and data science for knowledge mining, prediction, analytics, and optimization with projects in cyber security, software analysis, MOOC technology, and medical technology.


Research Themes

Artificial Adversarial Intelligence

Understanding Programs & Programming

Data Analytics

Artificial Adversarial Intelligence Understanding Programs and Programming 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.



Featured ALFA News!

ALFA welcomes new PhD Candidates

Aruna Sankaranarayanan
MIchael Wang
AI + Decision Making 




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
ALFA sponsors past and present
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 (Evo-DesignOpt) Group


Recent News



Adversarial Intelligence
Una-May O'Reilly
Artificial Intelligence in the Liberal Arts Series, Amhurst College, 2021



ALFA welcomes new PhD Candidates Aruna Sankaranarayanan Michael Wang


Artificial Adversarial Intelligence
Una-May O'Reilly
Keynote, UK Workshop on Computation Intelligence, UKCI, 2021. 



ALFA PhD Candidate, Shashank Srikant's research in collaboration with the MIT-IBM Watson AI Lab is featured in The Economist and WIRED!

 AI is transforming the coding of computer programs (full article)

 Now for AI’s Latest Trick: Writing Computer Code (full article)



ALFA welcomes summer UROPs: Ness Vera, Muhua Xu, Eileen Li. We bid farewell to research intern, Sasha Shashkov.

Congratulations to Diana Flores for the completion of her M.Eng degree. 


Artificial Adversarial Intelligence: Code Model Attacks and Robustness
Una-May O'Reilly
Workshop on Adversarial Machine Learning in Real-World Computer Vision Systems and Online Challenges (AML-CV), Workshop at CVPR, 2021



ALFA PhD Candidate, Shashank Srikant's research in collaboration with the MIT-IBM Watson AI Lab is featured in MIT News! Full Article: Toward deep-learning models that can reason about code more like humans




Cognitive Neuroscience Helping AI Understand Computer Programs
Shashank Srikant

MIT Inside Track, Meet the Researcher
MIT Technology Review, EmTech Digital, Cambridge MA



Generating Adversarial Computer Programs using Optimized Obfuscations
Shashank Srikant

MIT-IBM Watson AI lab, Cambridge MA


Enabling Autonomous Cyber Security
Spotlight on Cyber Research: From Lab-to-Market

Una-May O'Reilly
MIT Technology Review in Association with Dartrace

CSAIL Alliances Student Spotlight: Shashank Srikant, PhD Candidate, discusses his research in understanding programs and programming. 



Artificial Adversarial Intelligence
Una-May O'Reilly
Mongomery Blair High School Computer Science Club, Silver Spring MD, 2021

Artificial Adversarial Intelligence
Una-May O'Reilly
Weekeng, IEEE Student Branch, Istanbul Turkey, 2021

ALFA welcomes new students to students this semester: Avital Baral, MEng, Helen Landwehr, TPP Lincoln Laboratory Military Fellow, and UROPs: Haimoshri Das, Xinhe Zhou, Ray Dedhia, Evan Rubel. Sasha Shashkov returns as a reserach intern. 



Getting Adversarial AI to Secure Us From Hackers
Una-May O'Reilly
India Science Festival, 2021

We bid farewell to Postdoc Associate, Chathika Gunaratne. Chathika is off on a new adventure and has taken a positon at Oakridge National Lab. 

ALFA says goodbye to PhD Candidate, Bryn Reinstadler. Bryn will be taking up a position at Novartis.

ALFA welcomes new member Andrew Grant, Game & AI Developer. 





ALFA bids farewell to Postdoc Associate, Jamal Toutouh. We wish him the  best of luck on his new adventure. 

Natural and Artificial Intelligence
Una-May O'Reilly
IEEE SSCI 2020: Virtual Symposium Series on Computational Intelligence



Scalable Machine Learning, Evolutionary Algorithms, and Frameworks
Erik Hemberg for Una-May O'Reilly
AAAI Fall Symposium Series: The 2nd Workshop on Deep Models and Artificial Intelligence for Defense Applications: Potentials, Theories, Practices, Tools and Risks 



Adversarial Artificial Intelligence
Una-May O'Reilly
Keynote Speaker, 8th National Seminar of Applied Computational Intelligence in Mexico



The Importance of Diversity in AI and Healthcare Panel
Una-May O'Reilly
STEMM MIT CSAIL AI in Healthcare Summit

Introduction to Applied Machine Learning Community of Research
Protecting Malware Detectors from Attack
Una-May O'Reilly
CSAIL Alliances Annual Meeting


MITx Harvard Women in AI Interview Series
Una-May O'Reilly

Interviewed by Jackie Valeri, MIT Ph.D. Candidate

ALFA welcomes new MEng students Sanja Simonovikj, Diana Flores, Urmi Mustafi, all of which were previously UROPs with ALFA; new SDM student Byeong Jo Kong, and returning SDM student Afra Ansaria; new SuperUROPs Alexandra Dima, Sabrina Tseng, and Tamara Mitrovska; returning UROPs Rene Silva, Kate Xu, and Ashwin Srinivasan. Robert Gold returns as a research intern.

ALFA welcomes a new Postdoc Associate, Chathika Gunaratne. Previously, we hosted Chathika as a visitor, he was also a collaborator on one of our projects over the summer.

We bid farewell to visiting students: Jaeyoon Kim, University of Korea, Seoul Korea; Hannah Burd,  Dartmough College; Jake Springer, Swarthmore College, and Shasha Shahkov, Williams College.



Artificial Adversarial Intelligence
Una-May O'Reilly
Keynote Speaker, Machine Learning Workshop ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2020


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