Dr. Goldwasser is an assistant professor at the department of computer science at Purdue university. Before that he was a postdoctoral researcher at the University of Maryland in College Park. He completed his Ph.D. studies at the University of Illinois at Urbana-Champaign in the department of Computer Science.
He is currently working on applying machine learning approaches to natural language processing problems. He is broadly interested in connecting natural language with real world scenarios, and using them to guide natural language understanding.
Kristen is a second year member of PurdueNLP. Her research focuses on the application of NLP methods and graphical models to the analysis of political discourse on Twitter. She is the CS representative for the Women in Science Program (WISP) and a founding member of the Purdue Women in CS group. In her free time she enjoys yoga, photography, gardening, watercolor painting, and baking.
Cosmo is a 4th year Ph.D. student in CS at Purdue University. His research interests are connectionism inspired machine learning methods for natural language processing, including deep learning and reinforcement learning. He is also very interested in structural models that try to understand language as a structural cognitive representation.
Before joining the CS department, he obtained his master in psychology in Psychological Sciences at Purdue University. During that period, He received intensive quantitative and computational training, and also developped his interest in machine learning.
Chang is a third year Ph.D. student in Computer Science at Purdue University. He is broadly interested in Natural Language Processing and Machine Learning. His current research focuses on incorporating information from multiple sources to form a better node embedding and deep relational learning for structural prediction.
Before joining Purdue, he received his bachelor degree in CS from Nanjing University in China.
Maria is a second year PhD student in the Department of Computer Science at Purdue University.
Her research interests are in the areas of Natural Language Processing and Machine Learning, particularly in modeling and learning semantic representations for language understanding and structured prediction. She is currently working with Professor Dan Goldwasser as part of the Purdue NLP Group.
Mahak is a First Year Ph.D. Student working under Dr. Dan Goldwasser in the Department of Computer Science at Purdue University. Before that she pursued an integrated Bachelor & Master of Technology in Computer Science & Engineering at Indian Institute of Technology Madras. Her research interests are in the fields of Machine Learning, Natural Language Processing and Data Mining.
I am a third-year Ph.D. student in the Department of Computer Science at Purdue University, working under Dr. Dan Goldwassser. My research applies (Deep) Machine Learning techniques to solve Natural Language Processing (NLP) problems. I hope to share my expertise through innovative works with engineers and information scientists all over the globe.
My current research focuses on Statistical Script Learning. In this work, I aim to build statistical models that capture "Common Sense" through text event distributions and are capable of predicting "what happens next." In other words, given some events that happened in the past, can machines infer future events with common sense? Imagine that your Siri can guess what you want while assisting you! I am enthusiastically interested in connecting NLP with such real world applications!