H. Andrew Schwartz Large and scalable language analyses for psychological and health discovery; computational social science; natural language processing; lexical semantics; social media big data; human demography, personality, and mental well-being
PhD Students
MZ Zamani Computational social science and natural language processing; Social media language analyses for psychological health and well-being; Integrating language and extra-linguistic data; social networks and graph mining
Youngseo Son Natural Language Processing (NLP) for social media analysis. I especially focus on discourse relation parsing to extract key information for targeted tasks such as opinions and reasons for a political stance or sentiment, and finding the correlations of discourse styles with human variables such as personality. I collaborate with psychologists and computational linguists for Human-centered language modeling to obtain higher accuracies of various NLP tasks from traditional tasks (e.g., sentiment analysis) to novel tasks such as discourse style analysis for psychological assessment and well-being measurement.
Matthew Matero Natural language processing with particular care for areas involving time-series analysis, social media, mental well-being, and computational social science. Additionally, I have a broader interest in applied machine learning as a whole for tasks related to vision and computer networking.
Huy Vu The intersection of computer science and psychology: I love applying data science and natural language processing methods to analyze human thoughts, their characteristics and behaviors. Isn’t it cool to transform a person’s thought, something very abstract, into a concrete numeric vector space and then manipulate, analyze these vectors. Finally, map them back to the human’s thoughts space to predict their next behavior, or to predict their mental health state? My project now involves analyzing social media posts to understand the general public’s major beliefs on specific pre-defined topics.
Nikita Soni
Linh Pham My research interests include natural language processing, data science, and their applications in discovering behavioral and psychological factors, time-series analysis, and human-centered NLP.
Nicolas M. Legewie Nicolas M. Legewie received his MA and PhD in social science from Humboldt University of Berlin. Currently, he is a postdoctoral visiting fellow at the Sociology Department, University of Pennsylvania. His research focuses on the role of social environments, such as personal and neighborhood networks, on educational and occupational attainment, and on upward mobility. He also writes and teaches about migration, the life course, research ethics, and research methodology such as video data analysis, mixed methods, and digital social science research. In a current project with H. Andrew Schwartz (Stony Brook) and Salvatore Giorgi (UPenn), he uses quantitative text analysis of large-scale geo-coded Twitter data, in combination with county-level census data, to study the impact of heterogeneity in cultural models of education and occupation in counties on individuals’ college enrollment and completion.
Oscar Kjell Developing ways to measure, describe and differentiate psychological constructs using Natural Language Processing and Machine Learning. I'm particularly interested in measuring psychological well-being including harmony in life and satisfaction with life.
MS Students
Sumit Agarwal
Adithya V. Ganesan
PhD and Postdoc Alumni
Veronica Lynn (PhD, 2019) Now at Facebook Research, Seattle. My interest is primarily in natural language processing, with some overlap into data mining and artificial intelligence. In addition to computer science, I am interested in the humanities and social sciences, particularly psychology, linguistics, and classics, and am drawn to projects that are interdisciplinary in nature. My long-term goal is to pursue a career doing NLP research, hopefully both in industry and academia.
Vivek Kulkarni (PhD, 2017) Now a Postdoc at Stanford University. My research interests are at the intersection of natural language processing and computational social science. In particular, I am focused on making NLP models human-centric, socially aware, and cognizant of linguistic variation. I am also interested in applying NLP methods to uncover social biases through the lens of natural language.
MS Alumni
Kanishta Agarwal Research Project: Mood Forecasting: Using ARIMA to Predict Future Affect
Pooja Aravinder
Nipun Bayas Research Project: Optimism in Social Media
Austin Borger
Mallikarjuna Budida Research Project: BERT Feature Extraction on TPU
Swatilekha Chaudhury Research Project: NCDS Longitudinal Essays
Pooja Dalaya Research Project: Age and Income Weights for Sample Bias Correction
Pulkit Dongle Research Project: DLATK: DeMySQLfying
Neelaabh Gupta Research Project: Predicting Physical Activity using DLA
Keshav Gupta Research Project: Sample Bias Correction
Deepak Gupta Research Project: LexHub Development
Emil Joswin Research Project: Permutation Language Modeling and Data Collator for XLNet
Akash Idnani Research Project: Latent Traits Exploration Extended Multi-Domain Single Factor
Kiranmayi Kasarapu (MS, 2018; Now at Amazon) Research Project: Social Mobility Prediction
Adarsh Kashyap Research Project: Health Care Utilization
Parth Limbachiya Research Project: Implementation of CoxPh Model
Rowan Menezes Research Project: Brands Across Years
Sourav Mishra
Anvesh Myla Research Project: Quantitative Evaluation of Interpretability of Latent Factors
Mihir Parulekar Research Project: Privacy Analysis of BERT Embeddings
Sania Parveen Research Project: BERT Feature Extraction
Adarsh Prabhakara
Aman Raj (MS, 2017; Now at Google) Research Project: Large-scale Social Media Assessment.
Aravind Reddy Research Project: Adolescent Depression - Longitudinal Representations
Damayanti Sengupta Research Project: Social Media and Mental Health
Deven Shah (MS, 2018; Now at Yahoo Research) Research Project: Human Bias in Predictive Models
Swetambari Verma (MS, 2018; Now at Facebook) Research Project: Assessing Income and Education from Social Media Language