| Oct 24, 2024 | Gave a talk on our work SmoothHess to Prof. Doshi-Velez’s DtAK lab at Harvard. |
| Apr 22, 2024 | I’ll be joining Apple as an ML Research Intern this Summer! |
| Jan 19, 2024 | Our work Boundary-Aware Uncertainty for Feature Attribution Explainers was accepted to AISTATS 2024! |
| Sep 22, 2023 | Our work SmoothHess: ReLU Network Feature Interactions via Stein’s Lemma was accepted to NeurIPS 2023! |
| May 13, 2022 | Our work using contrastive learning for spirometry accepted to ATS 2022 as an oral presentation. |
| Jan 27, 2022 | Started working as the Teaching Assistant for Professor Dy’s Advanced Machine Learning course. |
| Jan 22, 2022 | Gave a pre-recorded talk on our work using unsupervised OOD detection for dermsocopy at SPIE BiOS 2022 |
| Oct 23, 2021 | Our work on unsupervised OOD detection has been accepted to the NeurIPS 2021 Workshop Medical Imaging Meets NeurIPS. |
| Sep 1, 2020 | Began PhD in Professor Dy’s ML Lab at Northeastern. |
| May 11, 2020 | Our work “Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact‐free and denoised images” has been accepted to Magnetic Resonance in Medicine. |
| May 20, 2019 | Joined Professor Kamilov’s Comptuational Imaging Group at WUSTL as a Masters Student. |