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In-person attendance will be permitted for USC/ISI faculty, staff, students only. Open to the public virtually via the zoom link and online.
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Waleed Ammar currently leads the Semantic Scholar APIs effort at the Allen Institute for Artificial intelligence (AI2), which enables researchers, practitioners and decision makers to do various computations on the scientific literature in a wide variety of research fields. Before rejoining AI2 this year, Waleed was a senior research scientist at Google, where he helped develop transformer-based models for generating DNA sequences based on PacBio long-reads which significantly reduced variant-calling errors [Nature Biotech'22]. He also helped develop task-oriented dialog systems which are more robust to disfluencies, code-switching and user revisions [arXiv'23]. Prior to joining Google, Waleed led the Semantic Scholar research team's efforts to develop ML-based methods to facilitate access to the literature [e.g., NAACL 19], build a knowledge graph of the scientific literature [NAACL'18], and use this wealth of information to identify systemic social problems in science [JAMA'19]. He also occasionally teaches courses at UW linguistics as an affiliate faculty member. In 2016, Waleed received a Ph.D. degree in artificial intelligence from Carnegie Mellon University. Before pursuing the Ph.D., Waleed was a research engineer at Microsoft Research and a web developer at eSpace Technologies. Outside work, Waleed spends most of his time on the water or in dancing studios.
If speaker approves to be recorded for this NL Seminar talk, it will be posted on our USC/ISI YouTube page within 1-2 business days: https://www.youtube.com/user/USCISI.
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