756 West Peachtree St. North West
Atlanta, GA 30308
I am a third-year Machine Learning PhD Student in the School of Interactive Computing at Georgia Institute of Technology advised by Professor Judy Hoffman. I am very fortunate to be supported by the National Science Foundation Graduate Research Fellowship.
I am broadly interested in multi-task learning and continual learning with a focus in efficiency and architecture development. Ultimately, I hope to create general methods capable of solving diverse problems by combining knowledge of existing methods with minimal training.
Previously, I was a Research Assistant in the Machine Learning Department at Carnegie Mellon University advised by Professor Barnabás Póczos. I hold a Bachelors degree in Statistics and Machine Learning from Carnegie Mellon University with School of Computer Science and University Honors.
|May 4, 2023||ZipIt! Merging Models from Different Tasks without Training released on arXiv|
|March 30, 2023||I was very fortunate to be awarded the NSF Graduate Research Fellowship|
|December 9, 2022||Bi-Directional Self-Attention for Vision Transformers won the best paper award at the NeurIPS 2022 VTTA Workshop|
|Dec 2, 2020||Our new relation extraction dataset Re-TACRED was accepted to AAAI 2021|
|Oct 30, 2020||Our new relation extraction dataset Re-TACRED was accepted at the NeurIPS 2020 KR2ML Worshop|
|Oct 30, 2020||Our work on cyclically combining Knowledge Graphs and Relation Extraction was accepted at the NeurIPS 2020 KR2ML Workshop.|
|Dec 10, 2019||Our work on Knowledge Graph Link Prediction was accepted to AAAI 2020|