{"id":850,"date":"2024-03-01T23:45:42","date_gmt":"2024-03-02T07:45:42","guid":{"rendered":"https:\/\/dornsife.usc.edu\/everydayrespect\/?page_id=850"},"modified":"2026-03-12T10:37:27","modified_gmt":"2026-03-12T17:37:27","slug":"people","status":"publish","type":"page","link":"https:\/\/dornsife.usc.edu\/everydayrespect\/people\/","title":{"rendered":"Researchers"},"content":{"rendered":" \n\n \n \n \n\n\n\n\n\n\n\n
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\n Jos\u00e9 J. Alcocer\n <\/h3>\n\n\n<\/div>\n \n \n
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Dr. Jos\u00e9 J. Alcocer is a Research Scientist at Harvard Law School. On the Everyday Respect project, Dr. Alcocer serves as both an ontological and methodological bridge between social scientists and computer scientists, aligning conceptual definitions, units of analysis, and data structures so that the project’s data are usable for causal social science research. His work combines causal inference with computational social science to examine how political institutions structure representation, with particular attention to electoral systems, legislative behavior, race and ethnicity, redistricting,\u00a0 and voting rights.<\/p>\n\n\n\n<\/div>\n \n <\/div>\n\n\n \n \n \n

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\n Yiorgos Chochlakis\n <\/h3>\n\n\n<\/div>\n \n \n
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Yiorgos Chochlakis is a PhD candidate and fellow at the University of Southern California, supervised by Shri Narayanan. His research is on complex subjective language tasks (i.e., problems where we can agree to disagree about the interpretation) and analyzing how the latest AI models perform on them.<\/p>\n\n\n\n<\/div>\n \n <\/div>\n\n\n \n \n \n

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\n Aarya Devnani\n <\/h3>\n\n\n<\/div>\n \n \n
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Aarya Devnani is currently pursuing a Master\u2019s degree in Computer Science at the University of Southern California. He is a Research Assistant at the Morality and Language Lab at USC. His academic interests primarily revolve around web development, game development, and distributed systems. As a platform developer for the CVAT-BWV on the ER project, he works on enhancing the platform for annotating and transcribing LAPD Body Cam footage. Outside of academia, Aarya has a strong interest in sports and technology.<\/p>\n\n\n\n<\/div>\n \n <\/div>\n\n\n \n \n \n

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\n Ameya Godbole\n <\/h3>\n\n\n<\/div>\n \n \n
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Ameya Godbole is a fourth year PhD student in Computer Science at the University of Southern California advised by Prof. Robin Jia. He works on hallucination-free and faithful generation with retrieval augmentation. He’s worked on leveraging the planning capabilities of LLMs to guide retrieval. He also study the behavior of factuality detection systems and their reliability in model selection. In the past, he has worked on retrieval for open-domain question answering (ODQA), knowledge base completion (KBC), and semantic parsing for knowledge base QA (KBQA).<\/p>\n\n\n\n<\/div>\n \n <\/div>\n\n\n \n \n \n

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\n Preni Golazizina\n <\/h3>\n\n\n<\/div>\n \n \n
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Preni Golazizina is a Ph.D. student in the Computer Science Department. She graduated from Sharif University of Technology with B.Sc. in Computer Engineering. Her research interests are in natural language processing and its intersection with the social sciences. She aims to investigate different social, cultural, and psychological phenomena by processing online texts and discourse. She also intends to analyze social networks to identify societal behavior patterns and study the drivers behind them.<\/span><\/p>\n\n\n\n<\/div>\n \n <\/div>\n\n\n \n \n \n

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\n Parsa Hejabi \n <\/h3>\n\n\n<\/div>\n \n \n
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Parsa Hejabi is a graduate NLP research assistant at the Morality and Language Lab. He is the technical lead and product manager of CVAT-BWV, the video annotation platform for the ER project. In addition to this role, he also works on ML pipeline development for the project.<\/p>\n\n\n\n<\/div>\n \n <\/div>\n\n\n \n \n \n

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\n Robin Jia\n <\/h3>\n\n\n<\/div>\n \n \n
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Robin Jia is an assistant professor in the Thomas Lord Department of Computer Science at the University of Southern California, where he leads the AI, Language, Learning, Generalization, and Robustness (Allegro) Lab. His research seeks to understand modern deep learning systems for NLP and ensure their reliability.<\/p>\n\n\n\n<\/div>\n \n <\/div>\n\n\n \n \n \n

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\n Aditya Kommenini\n <\/h3>\n\n\n<\/div>\n \n \n
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Aditya Kommenini’s interests in the Everyday Respect project include the ability to build robust speech processing systems to automate analysis of traffic stops, that would enable reduce burden of manual annotation and help increase transparency. Beside the project, his other research interests include human-centered computing applications in domains of bio signals and healthcare.<\/p>\n\n\n\n<\/div>\n \n <\/div>\n\n\n \n \n \n

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\n Harry Muttram\n <\/h3>\n\n\n<\/div>\n \n \n
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Harry is a Ph.D. candidate in Political Science at the University of California, Riverside, specializing in policing, police reform, and public policy. His research uses observational causal inference, experimental designs, computational methods, and qualitative interviews to study how police behave and when reform works. He focuses on evaluating the efficacy of democratic efforts to oversee and control law enforcement agencies.<\/p>\n\n\n\n<\/div>\n \n <\/div>\n\n\n \n \n \n

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\n Hong Nguyen\n <\/h3>\n\n\n<\/div>\n \n \n
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Hong Nguyen is a PhD student in Electrical Engineering at the University of Southern California, where he conducts research at the Signal Analysis and Interpretation Laboratory. His work focuses on advancing computer vision models, human-centered explainable AI and generative models for visual data.\u00a0On the Everyday Respect project, his main focus is\u00a0police-civilian behavior analysis based on speech & visual data, reasoning and causal inference.<\/p>\n\n\n\n<\/div>\n \n <\/div>\n\n\n \n \n \n

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\n Sajjad Shahbi\n <\/h3>\n\n\n<\/div>\n \n \n
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Sajjad Shahbi is a PhD student in the Computer Science Department at the University of Southern California, advised by Prof. Shrikanth (Shri) Narayanan in the Signal Analysis and Interpretation Laboratory (SAIL). His research interests lie in computer vision and machine learning, with a focus on healthcare applications and long-form video understanding. In this project, his research centers on visual modality processing for long-video understanding and human interaction analysis.<\/p>\n\n\n\n<\/div>\n \n <\/div>\n\n\n \n \n \n

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\n Jackson Phillip Trager\n <\/h3>\n\n\n<\/div>\n \n \n
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Jackson Phillip Trager is the lead PhD researcher overseeing the human aspects of human-centered AI. His responsibilities include the UX\/UI design of the custom annotation platform (<\/span>CVAT-BWC<\/span><\/a>). He is developing the annotation manual that guides humans on how to measure objective and subjective psychological constructs of police-civilian interactions, training diverse annotators to capture the subjectivity of such stops, continuously evaluating data, and assessing annotator well-being concerning traumatic content exposure. His contributions to enhancing police accountability and integrating social science earned him the <\/span>Dean\u2019s Emblem Award for Outstanding Scholarship.<\/span><\/a><\/p>\n\n\n\n<\/div>\n \n <\/div>\n\n\n \n \n \n

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