Current Position
I'm currently working as an Algorithms Engineer at Apple, Inc. in the Hardware Tech division. I primarily work on iPads and whereabouts...
Background
Previously, I was a data scientist at a small medical startup called AstraDx, based in Chestnut Hill, MA. I developed imaging-based rapid antimicrobial susceptibility testing (AST) that uses machine learning for automated image analysis and interpretation.
Prior to that, I was a postdoc in the Functional and Metabolic Imaging Group in the Department of Radiology at the University of Pennsylvania. My research focused on developing imaging modalities —particularly hyperpolarized (HP) magnetic resonance imaging (MRI) and computed tomography (CT)— for earlier detection and prediction of lung pathologies. Some of the pathologies I've investigated include post-transplant lung rejection, lung cancer, and radiation induced lung injury.
My PhD thesis was in the same field under the mentorship of Dr. Rahim Rizi in the Department of Radiology. Prior to joining FMIG, I rotated with Dr. Harish Poptani in the Department of Radiology (now at University of Liverpool). My work focused on implementing a registration protocol for analyzing DTI images of glioblastoma patients. I was also part of the HHMI Interfaces Program, which emphasizes medical training alongside the traditional engineering curriculum offered by the program.
Before starting my PhD, I worked in Dr. Xiaojuan Li's lab in the MQIR group at UCSF (now at Cleveland Clinic). My research focused on characterizing osteoarthritic cartilage from human knees using HR-MAS proton NMR spectroscopy.