OASIS Lab | Homa Hosseinmardi

Lab News

Mar 21, 2026	Congrats Pavel! Poster accepted at CHI: “What Stays and What Goes: Auditing the Impact of LLM Summarization on News Partisanship.”
Mar 21, 2026	Our first OASIS Lab paper accepted at ICWSM! “Seeking Help, Facing Harm: Auditing TikTok’s Mental Health Recommendations.” Congrats Pooriya!
Feb 15, 2026	“Trapped by Personalization: LLM-Assisted Recommendations and Their Hidden Impact on Human-AI Ecosystems” accepted for a Contributed Talk at NetSci 2026 in Boston (June 1-5, 2026). Homa will share our work.
Feb 1, 2026	Awarded Huo Family Foundation (HFF) Grant, 2026-2029, for “Beyond Screen Time: Investigating the Influence of Social Media Content and Algorithms on Adolescent Mood Using Multimodal Longitudinal Data and Counterfactual Bots.”
Feb 1, 2026	Awarded DataX Pilot Projects Grant, 2026, for “Using Therapeutic Interactions to Improve General-Purpose LLM Safety.”
Feb 1, 2026	Awarded UCLA Initiative to Study Hate Grant for “The Discourse of Summaries: Ideological Drift and Identity Framing in AI-mediated News.” Congrats to Pavel!

Co-founders

Homa Hosseinmardi

Amir Ghasemian

Team Members

I'm Pooriya Jamie, a first-year Ph.D. student in Computational Communication and Data Science at UCLA. I focus on using data science and machine learning to improve cyber safety, social computing, and address algorithmic bias.

Guang Yang

Doctoral Student

I am an incoming Ph.D. student in Computational Communication at UCLA. I am passionate about building trustworthy AI systems. My work centers on deepfake detection and leveraging AI agent-based simulations to study the impact of generative media on society.

Pavel Savgira

Doctoral Student

I am a third-year Ph.D. student in Film and Media studies at UCLA. I'm interested in combining humanistic inquiry and computational analysis to develop validation methods that explain how large language models mediate contemporary media environments, identify their biases, and help address them.

Josie Arbuckle

Undergraduate Student

I'm a student-athlete at UCLA pursuing a self-designed major in Critical Data Studies and Legal Systems. My academic work bridges statistical analysis, legal theory, and the ethical implications of emerging technologies, especially artificial intelligence. Through this interdisciplinary lens, I explore how data, law, and power interact to shape social outcomes and civil liberties.

Hamed Loghmani (Collaborator)

Applied Scientist

I am currently an applied scientist at Thomson Reuters Labs, providing AI-based solutions for tax and legal experts. The majority of my research background is dedicated to responsible AI; more specifically, fairness-aware neural recommender systems.

Sanchit Kabra (Collaborator)

Doctoral Student

I am Sanchit Kabra, a PhD student in Computer Science working on self-evolving agents for reasoning, scientific discovery, and responsible AI. My work is motivated by the goal of moving LLMs beyond static repositories of knowledge toward adaptive systems that can reason, learn, and improve over time as the core cognitive component of self-evolving agents. In my free time you would catch me learning sports science (aka Kinesiology).

Kaveh Eskandari Miandoab (Collaborator)

PhD Candidate, Tufts University

I am a PhD candidate at Tufts University. My general research interests are LLM safety, interpretability, argumentation, and model steering. Aside from research, I like video games, literature, and taking walks in nature. I am always looking for additional research collaboration opportunities.

Joyston Menezes (Collaborator)

Research Assistant, UCLA Communication

I am a Research Assistant at the UCLA Communication Department. I graduated with a Master of Science in Computer Science from the University of Southern California (USC). My work focuses on the intersection of machine learning, natural language processing, and computational social science.

Research Assistants

Sean Rosskopf

Olivia Nguyen

Xiaotong (Riley) Xi

Vidusha Adira

Anita Taha

Former Lab Members

Ovin Huang, University of California Davis

Valérie Ding, B.S. in Statistics and Data Science

Collaborators

CSSLab
UPenn MSR
NYU Social NLP Lab
Drexel ETHOS Lab
Drexel