Education
2023-Present
2021-2023
2015-2019
Research Experience
2021-Present
Ph.D. in Robotics
University of Michigan; Advisor: Katie Skinner
M.S. in Robotics
University of Michigan
B.S. in Mechanical Engineering
University of Rochester
Minor in Computer Science
Specialty in probabilistic and learning methods for 3D reconstruction, visual SLAM, and sensor fusion.
Research primarily focused on mobile robotic applications in the wild and in unstructured environments.
Demonstrated preliminary results on dynamic object tracking for Autonomous Surface Vehicles (ASVs) operating in near-shore environments
Developed novel uncertainty-aware localization and 3D mapping methods for underwater robots operating in highly unstructured and dynamic environments, enhancing navigation accuracy by 24%.
Advanced robust acoustic and inertial SLAM methodologies coupled with dense 3D mapping improve navigation accuracy by 62.5% compared to baseline methods for marine robots operating in low-textured environments.
Extensive hands-on experience in experiment and test design for validating system-level performance of robotic systems. Led the testing of marine robotic platforms for quantifying results from developed localization, mapping, and object detection methods.
2019-2021
Professional Experience
Test Engineer at iRobot Corporation
Led data-driven test development across the testing department, implementing supervised learning methods for hardware failure mode detection. The initiative resulted in decreasing test time by
75% on certain module-level tests, using models trained on historical system-level test data.
Designed test plans for defining validation metrics for the next-gen mobile floor care robots.
Promoted within a year for involvement in the completion of two major projects that prevented the halt of manufacturing, key contributions were the automation of data collection, visualization, and analysis.