I am a Postdoctoral Associate at the Cornell University's elite Runway program at the Cornell Tech campus in New York City. Cornell's prestigious Runway program is designed to make the best academic research available and accessible to the public.​ My research focuses on autonomous sensing, data interpretation and intelligent condition assessment of structures. I have been working in the field of computer vision and machine learning to develop robust systems for quantitative health monitoring of civil infrastructures. My work on GPU-accelerated robotic infrastructure condition assessment was named one of the five finalists for NVIDIA’s 2016 Global Impact Award, awarded for groundbreaking work that addresses social, humanitarian and environmental problems. Recently, I was selected and participated in the NSF national Innovation Corps (I-Corps™) program for exploring research commercialization and entrepreneurship. I am the author of 17 papers in international high-impact journals and conference proceedings and the co-inventor of a patent-pending method for generating 3D models of large civil infrastructure systems. I am also an active member of a variety of technical committees devoted to the monitoring and assessment of civil infrastructure, as well as computing in civil engineering.




2014 - 2018

George Mason University, Fairfax, VA

Ph.D. in Structural Engineering

Dissertation Title: "Automated Condition Assessment of Civil Infrastructure Systems via 3D Computer Vision"
Dissertation Advisor: Prof. David Lattanzi


2014 - 2018

Graduate Research Assistant

George Mason University

The Advanced Infrastructure Monitoring (AIM) Lab​

2011 - 2013

Graduate Researcher

Tufts University

Structural Health Monitoring (SHM) Lab

2012 - 2013

Graduate Teaching Assistant

Tufts University

CEE 129 Bridge Design and Rehabilitation, Spring 2013.

CEE 125 Advanced Concrete Design, Fall 2012.

2018 - present

Postdoctoral Associate

Cornell University

Cornell Tech Campus (NYC)