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 PhD Candidate, Shashank Srikant's research in collaboration with the MIT-IBM Watson AI Lab is featured in MIT News!

 

 Toward deep-learning models that can reason about code more like humans
Researchers propose a method for finding and fixing weaknesses in automated programming tools

A framework built by MIT and IBM researchers finds and fixes weaknesses in automated programming tools that leave them open to attack. One tool reads along as programmers write and suggests code. It picks a function among thousands of options in Python’s NumPy library that best suits the task at hand.

 

 

 

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

2021

June

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. 

 

April

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

 

March

 

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 Associatio with Dartrace
 

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

 

February 

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. 

 

January

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. 

 

 

2020

December

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

 

November

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 

 

October

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

 

September

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.

 

August

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

July

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