Xiaohan Ding

Xiaohan Ding

Ph.D. Candidate in Computer Science, Virginia Tech

HCI · NLP · Computational Social Science

I am a fifth year Ph.D. student in Computer Science at Virginia Tech. I work with my advisor Eugenia Rho. My research focus includes Computational Social Science (CSS), Human Computer Interaction (HCI), AI Mediated Communication (AIMC), and use of Natural Language Processing (NLP). I explore decades of closed caption data from major news outlets, online community interactions, and public health or mental health issues.

I received an MS in Computer Science from George Mason University under instruction from Gheorghe Tecuci.

Research Interests

Computational Social ScienceHuman-Computer InteractionAI-Mediated CommunicationNatural Language ProcessingPublic Health & Mental Health

Education

Ph.D. in Computer Science

Virginia Tech · Dr. Eugenia Rho

2021 – 2026

M.S. in Computer Science

George Mason University · Dr. Gheorghe Tecuci

2019 – 2021

B.E. in Software Engineering

Jinan University · Dr. Kun Liu & Dr. Lin Wang

2014 – 2018

Talks

TBD

Postdoc Research Talk, University of Washington

Mar 2026

When Language Shapes Behavior: That Understands, Predicts, and Intervenes

Faculty Job Talk, Texas State University

Mar 2026

Bridging Understanding and Intervention: AI-Mediated Interactions for Online Communication

Postdoc Research Talk, Georgia Institute of Technology

Mar 2026

Designing Human-AI Collaboration to Support Learning in Counterspeech Writing

IEEE VL/HCC 2025, North Carolina

Oct 2025

Future of GenAI: Designing Human-AI Collaboration

OpenAtom Foundation & Alibaba

Oct 2025

Experiences, Barriers, and Challenges for Engaging International Students in STEM

Universal Design for Learning Day, Virginia Tech

Aug 2024

Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language

ACM CHI 2024, Honolulu, Hawaii

May 2024