People

Director

  • Andrew McCallum Professor

    The main goal of my research is to dramatically increase our ability to mine actionable knowledge from unstructured text. I am especially interested in information extraction from the Web, understanding the connections between people and between organizations, expert finding, social network analysis, and mining the scientific literature & community. Toward this end my group develops and employs various methods in statistical machine learning, natural language processing, information retrieval and data mining---tending toward probabilistic approaches and graphical models.

Postdocs

  • Michael Boratko Postdoc, started 2018

    My current research focuses on box embeddings and structured prediction. Broadly speaking, I am interested in information extraction, program synthesis, deep learning and optimization.

  • Jay Yoon Lee Postdoc, started 2020

    My research focuses on Injecting human knowledge/constraints into neural models, primarily for natural language processing tasks. I am broadly interested in structured prediction, multi-task learning, logical reasoning, and better representation learning for the aforementioned topics.

PhD Students

  • Javier Burroni PhD, started 2015

    My current research is on Probabilistic Programming Languages. In particular, the relation between programming languages and gradient-based inference.

  • Haw-Shiuan Chang PhD, started 2015

    My current interests include multi-facet embedding, knowledge representation, textual entailment, relation extraction, and active learning.

  • Dung Thai PhD, started 2016

    My research focus on structured predictions which involve deep learning and probabilistic graphical models. I am also interested in generative models and tasks concern both language model and vision model.

  • Dongxu Zhang PhD, started 2017

    My main research interests lie in information extraction, knowledge representation and reasoning, question answering and machine learning.

  • Nishant Yadav PhD, started 2017

    I am broadly interested in machine learning  and natural language processing. A bit more specifically, I am interested in methods for learning representation of entities, structured prediction models and clustering.

  • Sheshera Mysore PhD, started 2018

    My current interests involve the development of resources and methods in interactive machine learning and natural language processing to facilitate greater user control and transparency in search and recommendation.

  • Neha Kennard PhD, started 2018

    My research interests are in Natural Language Processing. At the moment, I am working on understanding document-level discourse structure, and applications of this research to the peer review domain.

  • Andrew Drozdov PhD, started 2018

    My current research interests are in automatic structure discovery, instance-based learning, and text generation.

  • Shib Sankar Dasgupta PhD, started 2019

    I am interested in time-aware representation learning for both text and KBs. Currently, I working with box embeddings to model relational data.

  • Rico Angell PhD, started 2019

    I am interested in machine learning, natural language processing, learning with limited data, and information extraction.

  • Dhruvesh Patel PhD, started 2021

    I am broadly interested in machine learning for NLP with special focus on interpretable and instructable methods that can learn from raw data while being guided/instructed by structured external knowledge/constraints.

  • Wenlong Zhao PhD, started 2021

    My current research involves structured prediction and representation learning for natural language. I also work on efficient deep learning, computer vision, and interdisciplinary applications of algorithms, such as, AI for sustainability.

  • Benjamin Rozonoyer PhD, started 2022

    I am interested in theoretical machine learning and natural language processing, including semantic parsing and information extraction.

  • Dhruv Agarwal PhD, started 2022

    My broad research interest is in machine learning for natural language processing and its application in tasks that require complex, multi-step reasoning. My current focus is on interactive machine learning to probabilistically incorporate human-provided constraints and feedback.

Masters Students

Undergraduates

Staff

Alumni: PhD

Alumni: Postdoc

  • Andres Corrada-Emmanuel
    Former Senior Research Fellow, now teaching Physics at UMass

  • Fuchun Peng
    Postdoc 2004 after Ph.D. with Dale Schuurmans, went to BBN, now at Yahoo Research

  • Gideon Mann
    Postdoc 2007, now Head of Data Science at Bloomberg LP

  • Chris Pal
    Research Scientist, now Assistant Professor at University of Rochester

  • Khashayar Rohanimanesh
    Former postdoc, now Research Scientist at EBay

  • Hanna Wallach
    Postdoc 2009-2010, now Senior Researcher at Microsoft Research New York City and an Adjunct Associate Professor, Computer Science, UMass Amherst

  • Sebastian Riedel
    Postdoc 2009-2012, now Reader (= US Associate Professor) at Computer Science Department, University College London

  • Laura Dietz
    Postdoc 2010-2012, now Assistant Professor at the Department of Computer Science, University of New Hampshire

  • Jinho Choi
    Postdoc 2012-2014, now Assistant Professor, Computer Science, Emory University

  • Benjamin Roth Postdoc 2014, now Researcher at the The Center for Information and Language Processing, Munich University (LMU)

  • Ajay Nagesh
    Postdoc 2016, now Research Associate at the Computational Language Understanding Lab at the University of Arizona

  • Mrinal Kanti Das
    Postdoc 2017, now Assistant Professor in the Department of Computer Science and Engineering, Indian Institute of Technology Palakkad

  • Xun Wang
    Postdoc 2019

  • Jeffrey Flanigan
    Postdoc 2019, now Assistant Professor in CSE at UC, Santa Cruz.

  • Pedram Rooshenas
    Postdoc 2020, now Assistant Professor in the CS Department at the UNC, Charlotte.

  • Tim O'Gorman
    Postdoc 2021, now Senior Research Scientist at Thorn.

Alumni: Staff

Alumni: Masters & Undergraduates