Adam Poliak is a Roman Family Teaching & Research Fellow in Computer Science at Barnard. Adam's research focuses on natural language understanding, exploring the limits and reasoning capabilities of Natural Language Processing systems, and analyzing large amounts of text in domains like public health and social sciences. Adam received his Ph.D. from Johns Hopkins University in Computer Science where he was affiliated with the Center for Language and Speech Processing. His work has been recognized with Best Paper Awards in 2018 and 2019 at The Joint Conference on Lexical and Computational Semantics.
Introduction to Computational Thinking and Data Science
This course will introduce students to the methods and tools used in data science to obtain insights from data. Students will learn how to analyze data arising from real-world phenomena while mastering critical concepts and skills in computer programming and statistical inference. The course will involve hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. This class is ideal for students looking to increase their digital literacy and expand their use and understanding of computation and data analysis across disciplines. No prior programming or math background is required.
Course webpage: https://coms1016.barnard.edu
New Directions in Computing - Applied Natural Language Processing for Semantic Evaluations
This course will introduce students to the methods and tools used for developing Natural Language Processing and Machine Learning software. Students will work as a team to develop a machine learning system that can compete in a range range of increasingly challenging problems in natural language semantics. Teams will choose which challenge to tackle from a collection of tasks for computational semantic analysis. Students will have an opportunity to compare their systems against teams from other institutions and present their results. Participation requires permission of the instructor.
Launched in 2014, the ever-growing annual program is a testament to Barnard’s commitment to the sciences.
In Computational Text Analysis, students gain the computer science knowledge necessary to answer their biggest research questions.
A roundup of the latest research achievements by the College’s faculty members.