Vlad Eidelman

Vlad Eidelman is the CTO and Chief Scientist at FiscalNote, where he leads the global R&D teams. He is an advisor to SaaS and consumer startups such as Trustible, Enquire, TealBook, BuyNothing, and an angel investor. At FiscalNote his focus is on using machine learning and natural language processing (NLP) to create practical applications for analyzing, modeling, and extracting knowledge from the unstructured data related to government, policy and law. As the 10th employee, he developed the first version of the company’s patented technology to help organizations understand and act on policy changes, led major technical partnerships and data augmentation and integration initiatives, and as part of the executive team helped secure over $250 million in funding from Series A on, grow the business from pre-revenue to over 5,000 customers and an IPO on NYSE. Previously, he worked as a researcher in a number of academic and industry settings, completing his Ph.D. in CS, as an NSF and NDSEG Fellow, at the University of Maryland and his B.S. in CS and Philosophy at Columbia University. He has more than a decade of experience developing machine learning algorithms for a broad range of natural language processing applications, including entity extraction, machine translation, text classification and information retrieval, especially applied to computational social science. His work has led to over 10 patents, he has published more than 20 peer-reviewed articles in and serves on the program committees for top-tier conferences, such as ACL, NAACL, and EMNLP, and has been covered by media such as Wired, Vice News, and Washington Post.