Lucas H. McCabe

Data Science Fellow @ LMI. PhD Candidate @ GW.

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Present:

I am Data Science Fellow at LMI. There, I have served as machine learning lead for the LIGER platform, modeled the climatic and operational impacts of synthetic jet fuel, developed software for maritime logistics, and more.

I am also a computer science PhD candidate at GW, advised by Howie Huang. My work primarily pertains to natural language processing and computational social science; see my research page for more.

I am grateful to have been recognized as a DARPA Riser, Luminary Awardee (LMI), and Bernstein Scholar (Institute for Quantitative Biomedicine).

Past:

I completed my master’s at Johns Hopkins under Tom Woolf. Before that, I studied math and computer science at Rutgers and worked in the Moghe Lab.

selected publications

  1. Appl. Netw. Sci.
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    Network analysis of U.S. non-fatal opioid-involved overdose journeys, 2018–2023
    L. H. McCabe, N. Masuda, S. Casillas, N. Danneman, A. Alic, and R. Law
    Applied Network Science, Nov 2024
  2. EMNLP
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    Prompts have evil twins
    R. Melamed, L. H. McCabe, T. Wakhare, Y. Kim, H. H. Huang, and E. Boix-Adsera
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , Nov 2024