We often read about the many new advancements being made in the field of Natural Language Processing (NLP). Each month, leading organizations release new models that seem like magic to us, such as models that can write it’s own code based on user prompts [1] or are able to help answer our queries when we use Google Search [2]. Large AI research groups like OpenAI and Google spend many years and pour millions of...
Ilya is a JSD candidate at UC Berkeley School of Law. His research focuses on natural language processing and machine learning applications that are motivated by both theoretical and practical questions in the legal domain.
Brooks received his Ph.D. in History from UC Berkeley and was trained in Data Science at General Assembly. His work applies digital tools and methods to the study of modern cities and urban issues. At D-Lab, he teaches and consults on data analytics, machine learning, geospatial analysis, and natural language processing with Python and SQL.
I’m an interdisciplinary data scientist, with a background in Middle Eastern languages (Hebrew, Arabic, and historical languages like Sumerian, Akkadian, Assyrian and Babylonian). I’ve worked in Syria, Lebanon, Israel, and Turkey with archaeological sites and museums. My technical skills include: translation and data storytelling, data forensics (3D imaging, mapping, modeling), computational linguistics (CTA, NLP, OCR), and network analysis (SNA). My roles on campus include: Research Training Manager of the Computational Social Science Training Program; Postdoc Lecturer...
