Amir Imani
Visiting Assistant Professor
Biography
Amir Imani is a data scientist specializing in natural language processing (NLP). Holding a Master’s degree in Data Science from Columbia University, his work delves into innovative algorithms that enhance human-machine language interaction.
Amir is a strong advocate of open source, actively contributes on Stack Overflow, writes Medium blog posts, and consistently makes his code available on GitHub.
Education
- M.S. Data Science, Columbia University, New York (2015 – 2017)
- M.S. Environment and Development, University of Edinburgh, Edinburgh (2011-2012)
- B.Sc. Mechanical Engineering, Sharif University of Technology, Tehran (2005-2009)
Publications and Projects
- “Topic Analysis to Enable Applying the Norms of the Practice of Chemistry to Support the Chemical Weapons Convention” paper in proceedings of Western Political Science Association 2019 Conference, San Diego (20/04/2019)
- “Data Interrupted” (09/2017–), Collaboration with Francesco Fiondella and Catherine Vaughan, with the International Research Institute for Climate and Society.
- “Prototype Solutions for Social Impact with NBCUniversal” (11/07/2017) Collaborated with Gary Sztajman to build a Facebook Messenger chatbot for Per Scholas alumni.
- “Analysis of 141 hours of cable news reveals how mass killers are really portrayed” (14/10/2017) Natural Language Processing (NLP) and Cognitive Journalism – Quartz
- Columbia Student Brings Data-Driven Focus to Policy Negotiations, Journalism (11/05/2017) Columbia University
- “A Guide for Newsrooms in the Age of Smart Machines” contributor to the Associated Press essential guide to AI in newsrooms (05/04/2017)
- “A robot’s analysis of Trump’s inauguration speech reveals what he was feeling while taking the oath of office” (21/10/2016) AI and Cognitive Journalism – Quartz
- “A computer watched the debates. It thought Clinton was happy and Trump was angry and quite sad” (28/01/2017) AI and Cognitive Journalism – Quartz
- “Topic Modeling to Identify Shared Political Ground” (13/09/2016) – Columbia Data Science Institute
- “LocalR” A local news aggregator prototype for Press Association with Woojin Kim, Xavier Gonzalez (05/03/2016)
- [“Debate in Emotion”] (https://devpost.com/software/debate-in-emotion) Winner of Microsoft Prize at Columbia DevFest 2016 in collaboration with Xavier Gonzalez, Carlos Espinos & Diego Llarrull
- “Bringing Affordable, Renewable Lighting to Sierra Leone” (22/02/2016) Columbia Data Science Institute