Eric Warner, Phd Email & Phone Number

•Provide technical leadership and stakeholder guidance for team of ~5 data scientists and engineers by conducting weekly technical seminars, code reviews, and project check-ins for mentorship/instruction •Lead algorithm developer and stakeholder liaison on a computer vision application which achieves >99% accuracy (~97% minority class precision) on pixel-level classification across 14 unique part numbers. Product has inferred upon more than 700K images since its inception in 2020•Technical and business lead for projects in image classification via an ensemble combination of industry standard and proprietary methodologies, enabling ~$2M yearly savings opportunity •AI/ML lead on a DARPA project which utilized the combination of feature and image classification to enable 5% increase in performance, which led to multiple follow-on contracts

Woburn, Ma

• Project Lead for Machine Learning team which specializes in Time-Series Anomaly Detection• Technical Lead for Python tool development contract• Technical Lead for Discrete Optimization via Neural Networks project• Exceeded project scheduled time by >4 weeks for two separate Python tool development tasks

Ann Arbor, Mi

•Manipulate matrices via factorization, Schur Compliments, and Linear Matrix Inequalityproperties to create convex optimization problems from non-convex constraints•Analyze large data sets (18,000 iterations of 100+ variables) to interpret convergence utilizingexponential and linear regression•Implement stochastic methods including Itô calculus, stationarity, and power spectrumanalysis in order to reformulate a nonlinear expectation into a convex optimization constraint•Derive theoretical methods to implement a series of over-bounding convex problems to solvea non-convex optimization•Reduce optimization run time by 70 percent by implementing a dual method optimization inMatlab using both custom and built-in optimization software

Storrs, Ct

• Aided a Connecticut Department of Transportation and Federal Highway Administration bridge monitoring project• Successfully designed a mounting system for strain sensors attached to a bridge whichimproved sensor accuracy without compromising the integrity of the bridge structure• Cooperating on a semi-active damping project for the Network of Earthquake Engineering Simulation Research (NEESR)

Daejon, South Korea

• Prepared for a global marketplace by learning and appreciating a new culture • Fostered critical thinking skills and expanded core knowledge about Smart Structures, structural analysis, and system control•Led a student research group that conducted experiments on a hybrid system model andanalyzed results for structural system properties•Submitted a final paper to the Transportation Research Board (TRB) on the benefits of variousstructural control methods

Doctor Of Philosophy (Ph.D.), Intelligent Systems Engineering

Activities and Societies: Rackham Summer Institute

Bachelor Of Science (B.S.), Civil Engineering