Team and Collaborators

Alexy Skoutnev

Alexy Skoutnev

PhD Candidate

Yeshiva University

Kirill Acharya

Kirill Acharya

PhD Candidate

Stanford University

Gaston Longhitano

Gaston Longhitano

Graduate Student

Boston University

Ben Segev

Ben Segev

Graduate

Columbia University (now at Barclays)

Past

Thesis Students

  • Seunghwan Hyun, Masters in Computer Science, Boston University, 2025
    Thesis: Solving the abstraction and reasoning corpus (ARC) at a human level
    (now at Expedia)
  • Yuke Zhang, Ph.D. in Data Science (rotation), Boston University, 2023-2024
  • Sunny Tran, Masters of Engineering, MIT, 2021
    Thesis: Solving machine learning problems
    (now at Microsoft)
  • Allan Costa, Masters of Media Arts and Sciences, MIT, 2021
    with Debora Marks and Joseph Jacobson
    Thesis: Predicting protein-protein interactions using equivariant networks with self-attention
    (now at Biohub)
  • Oscar Chang, PhD in Computer Science, Columbia University, 2020
    with Hod Lipson, Itsik Pe'er, Ansaf Salleb-Aouissi, Erin L. Barnhart
    Thesis: Autogenerative networks
  • Weiyi Lu, Masters of Arts and Sciences, Columbia University, 2019
    with Michael Collins and Kathleen McKeown
    Thesis: Inductive representation learning for knowledge base completion
    (now at Amazon)

Directed Study, Boston University

  • Aditya Bhandari, Spring 2025
  • Seunghwan Hyun, Fall 2024
  • Shivacharan Oruganti, Fall 2024
  • Ayush Sharma, Spring 2024
  • Uday Garg, Spring 2024
  • Mao Mao, Spring 2024
  • Jason Lee, Fall 2023
  • Owen Chen, Summer 2023
  • Harsh Sharma, Spring 2023
  • Keith Tyser, Fall 2022

Undergraduate Research Opportunities Program (UROP)

  • Jason Lee, Spring 2024, BU
  • Annie Wang, Spring 2023, Summer 2023, MIT
  • Iris Yang, Summer 2023, MIT
  • Calvin Macatantan, Summer 2023, MIT
  • Ashley Zhang, Summer 2023, MIT
  • Samuel Florin, Spring 2023, MIT
  • Sarah J. Zhang, Spring 2023, MIT
  • Eugenia Feng, Spring 2023, MIT
  • Alice Zhang, Spring 2023, MIT
  • Andrei Marginean, Spring 2023, MIT
  • Reece Shuttleworth, Spring 2022, Summer 2022, MIT
  • Sarah Zhang, Summer 2022, MIT
  • Pedro Lantigua, Summer 2022, MIT
  • Muhender Rajvee, Spring 2022, MIT
  • Albert Lu, Spring 2022, MIT
  • Michelle He, Spring 2022, MIT
  • Linda Chen, Spring 2022, MIT
  • Elizabeth Ke, Fall 2021, MIT
  • Kevin Liu, Fall 2021, MIT
  • Prabhakar Kafle, Spring 2021, MIT
  • Pranav Krishna, Spring 2021, MIT
  • Ishan Pakuwal, Spring 2021, MIT
  • Alexander Gu, Fall 2020, MIT
  • Sunny Tran, Fall 2020, MIT