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Current Advisees

Connor Baumler

3rd year Ph.D.
NLP, fairness, interpretability, trustworthiness

Yang (Trista) Cao

6th year Ph.D. Candidate
Human-centered NLP, Fairness, VQA for Accessibility, Causality, Content Moderation

Navita Goyal

3rd year Ph.D.
Causal NLP, Interpretability, Fairness

Yu (Hope) Hou

1st year Ph.D.
Fairness, trustworthy and socially aware NLP

Huy Nghiem

1st year Ph.D.
Fairness and Interpretability in AI, Computational Sociology

Tin Nguyen

2nd year Ph.D.
Law-informed Fairness, Trustworthiness, Legal NLP, ML

Sandra C. Sandoval

3rd year Ph.D.
Computational social science, fairness and bias in machine learning/AI, human computer interaction

Anna Sotnikova

7th year Ph.D.
Fairness and social biases in large pre-trained language models

Jieyu Zhao

2nd year Postdoc
Trustworthy NLP, Fairness

Lingjun Zhao

3rd year Ph.D.
Multimodal grounding, human AI communication, trustworthiness

Ruijie Zheng

2nd year Ph.D.
Reinforcement learning and Imitation Learning

Past Advisees

(reverse chronologically)

Kianté Brantley

Ph.D. 2022
Dissertation: Expert-In-The-Loop for Sequential Decisions and Predictions
Now: Postdoc at Cornell

Khanh Nguyen

Ph.D. 2022
Dissertation: Enriching Communication between Humans and AI Agents
Now: Postdoc at Princeton

Chen Zhao

Ph.D. 2022
Dissertation: Towards practical complex question answering
Now: Postdoc at NYU

Amr Sharaf

Ph.D. 2020
Dissertation: Learning with Minimal Supervision: New meta-learning and reinforcement learning algorithms
Now: Researcher at Microsoft Research

Sudha Rao

Ph.D. 2018
Dissertation: Teaching Machines to Ask Clarification Questions
Now: Researcher at Microsoft Research

Mohit Iyyer

Ph.D. 2017
Dissertation: Beyond Sentential Language Understanding with
Now: Asst Prof @ UMass

Hadi Amiri

Postdoc 2017
Now: Asst Prof at UMass Lowell

Amittai Axelrod

Postdoc 2017
Now: Amazon Research

Snigdha Chaturvedi

Ph.D. 2016
Dissertation: Structured approaches to exploring inter-personal relationships in natural language text
Now: Asst Prof at UNC Chapel Hill

He He

Ph.D. 2016
Dissertation: Sequential Decisions and Predictions in Natural Language Processing
Now: Asst Prof at NYU

Cynthia Gan

B.S. 2015
Now: YouTube

Jiarong Jiang

Ph.D. 2014
Dissertation: Efficient Non-Deterministic Search in Structural Prediction
Now: Two Sigma

Dan Goldwasser

Postdoc 2014
Dialog and belief state, education analytics
Now: Asst Prof at Purdue

Abhiskek Kumar

Ph.D. 2012
Dissertation: Learning with Multiple Similarities
Now: Google Brain

Taesun Moon

Postdoc 2013
Computational analysis of scientific literature
Now: IBM Research

Jagadeesh Jagarlamudi

Ph.D. 2012
Dissertation: Discriminative Interlingual Representations
Now: Google

Amit Goyal

Ph.D. 2012
Dissertation: Streaming and Sketch Algorithms for Large Data NLP
Now: Criteo

Arvind Agarwal

Ph.D. 2012
Dissertation: Geometric Methods in Machine Learning and Data Mining
Now: IBM Research

Piyush Rai

Ph.D. 2012
Dissertation: Learning Latent Structures via Bayesian Nonparametrics: New Models and Efficient Inference
Now: Asst Prof at IIT Kanpur

Seth Juarez

M.S. 2009
Large margin methods
Now: Microsoft Channel 9

Adam Teichert

M.S. 2009
Linguistically informed syntax
Now: Asst Prof @ Snow College

Scott Alfeld

B.S. 2008
Dissertation: Kernel machines
Now: Asst Prof at Amherst College

credits: design and font inspired by Seth Able's LoRD, some images converted to ANSI using ManyTools, original drawing of me by anonymous.
last updated on four november, two thousand twenty three.