Hi! My name is Tina. Currently, I'm a third-year PhD student in Computer Science at Stony Brook University, advised by Dr.
Klaus Mueller
. My research focuses on human-in-the-loop bias mitigation techniques and methods for auditing AI systems to ensure they do not cause unintended harm.
In addition to my PhD, I hold a graduate degree in Human-Centered Data Science and have taken advanced courses in Sociology and Psychology. I am also involved with the
AI and Philosophy lab
, where we explore the Model Multiplicity problem.
News
- Our paper, FairPlay: A Collaborative Approach to Mitigate Bias in Datasets , was accepted to NeurIPS Workshop on Pluralistic Alignment Workshop and will be published in CSCW.
- Our paper, Reconciling Predictive Multiplicity in Practice , was accepted in ICML Workshop on Humans, Algorithmic Decision-Making and Society 2024 . You can find it here.
- I will be joining Dr. Ning Wang 's lab at the Institute for Creative Technologies at USC for the summer. We will be working on Explainable Self-Sware AI.
- Our Paper, FRMDN: Flow-based Recurrent Mixture Density Network, got accepted in Expert Systems with Applications, Volume 237. You can access it here.