Biography

I am a Sr. Research Scientist with the Trustworthy AI group at NVIDIA. My research is primarily focused on the core challenges of this field, centering on the development of principles and practices to ensure AI technologies meet the highest standards of reliability, security, transparency, and ethics.

I joined NVIDIA in 2022, initially serving as an Applied Research Scientist and Engineering Manager for the TAO Toolkit team. In that role, I led a team of software developers and deep learning engineers, overseeing the end-to-end planning and execution of TAO releases. A key part of my focus was ensuring that the highest standards of Trustworthy AI were met in the development and deployment of our AI technologies.

I received my Ph.D. in Computer Science from the University of Missouri-Columbia in 2022, where I was part of the Scalable Data Science (SDS) Lab at the MU College of Engineering and the Center for Biomedical Informatics (CBMI) at the MU School of Medicine. During my Ph.D., I was also involved in many interdisciplinary research projects, leveraging my expertise in AI and cluster computing technologies to gather insights and solve challenging problems in the energy and healthcare domains, such as sustainable housing design, genomic analysis, and cancer cell detection in histopathology images.

In the summer of 2021, I was an intern at Arm Inc., where I automated and optimized complex 5G system workloads on multicore Arm processors. Prior to starting my Ph.D., I worked as a Technology Analyst at Infosys Technologies, a global leader in software development, consulting for Apple Inc.