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 three july, two thousand twenty three.