Scalable machine learning technology, evolutionary algorithms, and data science frameworks for
large-scale knowledge mining, prediction, analytics and optimization with projects in
clinical medicine knowledge discovery, cyber security, and MOOC technology
ALFA Group Members
ALFA Management Team
Research Associates & Affiliates
Masters and M.Eng Students
Marcos Pertierra - Alex Huang - Alice Zhan
Raoul Khouri - Daniel Prado Sanchez - Jitesh Maiyuran - Jose Zuniga
UROP & *Super UROP Students
Alyssa Weiss - Srilaya Bhavaraju - Liang Zhou - Akshat Bubna - Jack Kelly
Visitors 2017 - 2018
Yuanzhe Chen, Hong Kong University of Technology, Hong Kong
Alessandro DePalma Eldgenossische Technische Hochsule (ETH), Zurich Switzerland
Ruggiero Dargenio Eldgenossische Technische Hochsule (ETH), Zurich Switzerland
M. John Ding Hong Kong University of Science and Technology (HKUST), Hong Kong
Pasquale Salza University of Salerno, Italy
ALFA Group welcomes graduate and undergraduate students, visitors, and guests
regardless of race, religion, gender identification, sexual orientation, age, nationality, or disability status
ALFA bids farewell to Mucong "John" Ding from HKUST.
ALFA welcomes Shashank Srikant, MIT PhD candidate andnew member of ALFA Group.
ALFA celebrates their teamwork and summer efforts with a Group Retreat to Sunapee, NH
ALFA welcomes Dr. Edilberto Amorim as Research Affiliate. Dr Filho is a clinical fellow from MGH Boston and recipient of an MIT-Philips research award. He will be mentored by Una-May in his project: Dynamic EEG signatures underlying coma recovery after cardiac arrest: a machine learning approach.
ALFA bids farewell to Mahek Maheshwari and Robert Gold, high school summer interns
ALFA welcomes Dennis G Wilson, ALFA UROP alum and PhD canidate from the Institut de Recherche en Informatique de Toulouse as a guest speaker at CSAIL.
ALFA welcomes summer UROPS Carina Quiroz and Alyssa Weiss for Hacker'sHeaven.
ALFA welcomes Steven Rivera and Dennis Garcia as summer Research Assistants!
ALFA welcomes visitors Alessandro DePalma and Ruggiero Dargenio from Eldgenossische Technische Hochsule (ETH), Zurich Switzerland for a 6 month stay to work on their theses.
ALFA welcomes M. John Ding, undergrad from Hong Kong University of Science and Technology (HKUST), Hong Kong, who will work with ALFA in collaboration with the "Understanding and improving student enagagement in MOOCS and designing Technology enablers for scaling MOOC data research" project sponsored by HKUST under the MISTI China Award.
ALFA welcomes Mahek Maheshwari from Harmony School of Advancement in Houston, TX for a sumer internship!
Congratulations to Bryce Kim on his promotion to Research Associate with ALFA!
Congratulations to MIT undergrads with the completion of their undergrad degrees: Abigail Choe, Hugo Zul, Marcos Pertierra, Alex Huang, Tiange "Alice" Zhan.
Congratulations to ALFA MEng Seniors, Steven Rivera, Austin Liew, Anthony Erb Luogo and Dennis Garcia on completing their theses!
Congratulations to Bryce Kim on his successful PhD thesis defense and completion of his PhD thesis!
ALFA welcomes Clara Li and Alex Chang from Weston High School for a 3 week internship.
New UROP, MEng and UAP projects are up! Visit our Student Project Page for details!
New UAP projects to be added soon. In the meantime, please visit the EECS website for more info.
We welcome Stjepan Picek from KU Leuven, Belgium to his new position as post-doctoral associate with ALFA.
Congratulations to Dr. Erik Hemberg for his promotion to Research Scientist!
ALFA bids farewell to visitors Pasquale Salza of University of Salerno and Dr. Sarah al Hamoud of Saudi Arabia. We wish them the best of luck!
ALFA Research Projects
APPLICATIONS: Clinical Medicine Knowledge Discovery: large scale physiological time series forecasting and similarity-based retrieval, leveraging data in observational studies; MOOC Technology: data standards, data privacy, machine learning blocks, feature solicitation, transfer learning; Cyber-Security/Tax Evasion Detection: formalism of law, co-evolutionary dynamics; Scheduling: hyper-parameter optimization, machine learning and evolutionary algorithms for batch selection and job sequencing; Wind Energy: resource prediction, turbine layout optimization, cable layout.