Master's Student & Research Assistant · GRASP Lab, University of Pennsylvania
Hi! I'm Amy 👋 I'm a master's student in Robotics at the University of Pennsylvania, supported by the Thouron Award, a full merit-based scholarship for graduate study. I'm currently working as a Research Assistant in the GRASP Lab, and a member of the Lifelong Machine Learning Research Group led by Eric Eaton where my research centres on continual / lifelong learning and embodied AI - building agents that keep learning over time and can generalize across new tasks.
Previously I was a Machine Learning Engineer at Meta (WhatsApp) and a Research Engineer at Goldman Sachs. I hold a First-Class Honours BSc (4.0 GPA) in Artificial Intelligence and Computer Science from the University of Birmingham.
I work on machine learning for agents that act in the world and keep learning over time. My interests span continual / lifelong learning, reinforcement learning, and embodied AI - and I enjoy turning recent research into working systems on real and simulated robots.
Artifacts as Memory Beyond the Agent Boundary Accepted
Cognitive Computational Neuroscience (CCN) 2026 — poster · arXiv:2604.08756
Generative machine learning with retriever having reconfigurable sequence of rankers
US Patent 12,242,468
“Big Data is Watching You”: Using AI to Detect and Track Infectious Disease Outbreaks 1st Place
Poster — BCSWomen Lovelace Colloquium 2020, First Place (sponsored by J.P. Morgan)
For the full and most up-to-date list, see my Google Scholar profile.
RoboRacer Autonomous Racing In Progress
University of Pennsylvania · ESE 6150
Building a 1/10-scale autonomous race car and its ROS 2 autonomy stack, from low-level vehicle control through localization, planning, and high-speed autonomous racing on the RoboRacer platform. Implemented LiDAR-based perception and localization, autonomous wall following, SLAM, Pure Pursuit, motion planning, and model-predictive control, with algorithms tested first in simulation and then deployed to the physical car.
Currently developing racing algorithms for progressively more challenging head-to-head competitions, with a final project to follow.
ETH Robotics Summer School 2026 — Search & Rescue Challenge 1st Place
ETH Zürich · led by Prof. Marco Hutter and Dr. César Cadena
Selected participant in the ETH Robotics Summer School, focused on deploying autonomous robots in challenging real-world environments — with lectures in robot perception, state estimation, SLAM, navigation, planning, exploration, and autonomous decision-making, and extensive testing on rough-terrain robotic platforms.
For the final challenge, our team developed a fully autonomous mission for a Unitree A2 quadruped to explore an unknown disaster environment and return a report of key observations. Our system integrated mapping, localization, autonomous exploration, path planning, and perception, and placed 1st in the final Search & Rescue challenge.
Robotics research in the GRASP Laboratory for the DARPA Triage Challenge, advancing autonomous robotic search and triage in simulated mass-casualty incidents.
WhatsApp. Built ranking, search, and recommendations for the Updates tab (Status & Channels), used by 1.5B+ people daily.
Associate in the AI Research team within the Data Science and Machine Learning group.
Placement year as an L3 Engineer in cloud and cognitive software, primarily in C++. Achieved a 60× speed-up via asynchronous threading for batch message sending, shipped to production with gMock and component tests.
Full-stack developer at an AI start-up, building back-end data-analysis systems and front-end web apps in Python and JavaScript. Led "Hertzian Health", an NHS project analysing patient feedback across U.K. wards.
Aug 2025 – Present
Sep 2017 – Jul 2021
Scholar