I’m a PhD student under the aegis of Dr. Anna Choromanska at the Machine Learning Lab, Department of Electrical Engineering, New York University.
I started my journey with deep interest in medical image processing specifically high frequency ultrasound imageing. Over the past few months I’ve been working at the intersection of sample complexity, generalization and loss landscape of deep neural networks.
Jan 2022: Our paper titled “Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape” was accepted to AISTATS 20222.
May 2021: Excited to join Microsoft, Seattle as Data and Applied Scientist Intern.
Jan 2021: Our paper “A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs” was accepted to CVPR workshop track.
Feb 2020: Excited to join NVIDIA, New Jersey as Deep learning software spring intern.
May 2020: Excited to join NVIDIA, New Jersey as Deep learning software summer intern.