news

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.