Hi! I’m Irena, a CS Ph.D. student at Stanford University. My research interests center on trustworthy and reliable machine learning, especially in the context of large models.
Previously, I also did my undergraduate at Stanford, where I studied Computer Science (B.S. with honors), Statistics (M.S.), and a bit of art history. Here’s a randomly sampled favorite artwork.
Many kind researchers have had an outsized impact on my career! If I can be helpful in your journey (e.g. by suggesting classes or chatting about grad school), feel free to email me at my first name [at] cs.stanford.edu.
OpenFlamingo: An open-source framework for training large autoregressive vision-language models2023.
Adaptive Testing of Computer Vision ModelsIn International Conference on Computer Vision 2023. (Oral Presentation)
Out-of-Domain Robustness via Targeted AugmentationsIn International Conference on Machine Learning 2023.
Extending the WILDS benchmark for unsupervised adaptationIn International Conference on Learning Representations 2022. (Oral Presentation)
* denotes equal contribution.