people

Dr. Murray directs the MAIEUTIC Lab and is broadly interested in multilingual natural language processing and AI. He received his PhD in 2020 from the University of Notre Dame advised by David Chiang. He has worked in NLP and AI labs around the world including Princeton, Carnegie Mellon, AI2, QCRI, as well as in engineering roles at Microsoft and a few start-ups.

He is often involved in organizing various conferences and workshops including: AMTA, WMT, IWSLT, MAGMaR, and WMDQS. He also serves as the faculty advisor for the Mid-Atlantic Student Colloquium on AI, Language, and Learning (MASC-ALL).

Neha is a fourth-year Computer Science Ph.D. Student at the Center for Language and Speech Processing at Johns Hopkins University, supervised by Kevin Duh and Kenton Murray.

Previously, I was at Yale University studying math and computer science, and working with Dragomir Radev at the Yale LILY Lab. During Summer 2023, she interned with Maha Elbayad at Meta AI Research in Menlo Park, CA.

Her dissertation is focused on Merging for Compression and Efficiency in Sequence Models.

Nate Robinson is a third-year PhD student at Johns Hopkins University’s Center for Language and Speech Processing. He is advised by Kenton Murray and Sanjeev Khudanpur. He completed his Masters in Language Technologies at Carnegie Mellon University under David Mortensen’s advisement, and worked as a researcher at Brigham Young University’s DRAGN Labs prior to that. Nate’s research focuses on building language technologies for low-resource and related languages. Most of his publications to date have focused on expanding machine translation, speech recognition, and LLM capabilities to underserved language communities. He speaks proficient Levantine and Egyptian Arabic, Spanish, French, and Haitian Creole, and limited Mandarin, and he enjoys research projects involving these language groups. Nate enjoys dancing, music, books, and engaging in his church community, and he is a nerd about linguistics and math. Follow his work on Twitter.

Dengjia is a Master’s student who works on multimodal retrieval and Retrieval Augemented Generation.

Jason is a Master’s student working on Retrieval Augmented Generation with a particular focus on multimodal content and how images are impacted by language and culture in AI systems. He also works heavily on robotics and sports analytics. He did his undergrad at UC Berkeley.

Aidan is a Master’s student currently working in the lab on making large language model pre-training data more multilingual.

Dr. Kriz is a research scientist at the Johns Hopkins University Human Language Technology Center of Excellence (HLTCOE). His primary research interests involve leverage large pre-trained models for a variety of natural language understanding tasks, including those crossing into other modalities, e.g., vision and speech understanding. These multimodal interests have recently involved the 2024 Summer Camp for Language Exploration (SCALE) on event-centric video retrieval and understanding. He received his PhD from the University of Pennsylvania where he worked with Chris Callison-Burch and Marianna Apidianaki on text simplification and natural language generation. Prior to that, he received BA degrees in Computer Science, Mathematics, and Economics from Vassar College.

Niyati is a third year PhD student at the Center for Language and Speech Processing at Johns Hopkins University, advised by David Yarowsky. She works on multilinguality, machine translation, and dialectal robustness in LLMs. In the past, she worked at ALMAnaCH, INRIA in Paris with Benoît Sagot and Rachel Bawden, and graduated from the EMLCT Masters’ program as an Erasmus scholar with a dual MSc. in Computational Linguistics. She’s interested in building NLP tools for text and speech that are available for all the world’s languages in their dialectal, colloquial, and code-switched variants.

Nikhil is a second year CS PhD student at CLSP at Johns Hopkins University. He is advised by Ziang Xiao. His primary research focus on understanding and shaping information flows with Conversational Agents to enable affordances for engaging in equitable, informed and constructive information seeking consumption and dissemination. Key areas include: Natural Language Processing, Human-Computer Interaction, Multi-Cultural Alignment, Multilingual NLP, Democratized AI Governance. Find out about more of his work here

Alex is a second year PhD student at Johns Hopkins University advised by Ben Van Durme. The core of his research focuses on generation and reasoning that is grounded in multimodal content, primarily documents and videos.

Dr. Xu received his PhD in 2024 and was advised by Kenton Murray and Philipp Koehn. His dissertation focused on various ways to solve the curse-of-multilinguality. While at JHU, he published numerous papers on large language models, machine translation, and multilinguality. His Contrastive Preference Optimization work continues to be an influential paper in post training (Xu et al., 2024). He joined Microsoft GenAI as a Senior Research Scientist.

Stella was a bachelor’s and master’s student in the lab who worked on code-switching. After graduating, she joined UW to pursue a PhD working with Yulia Tsvetkov. You can find out more about her work here.

Tianjian did his Master’s working with Dr. Murray working on algorithms to account for dataset imbalances and distribution shifts for training foundational models. He did his undergrad at NYU and has continued at JHU working on a PhD with Daniel Khasabi.

Ujvala worked on bias in machine translation systems for Indic languages. She joined Google as a software engineer.