Jared Cook Email & Phone Number

Texas, United States

Texas, United States

New York City, Ny, Us

New York, Ny, Us

- Guided adoption of generative AI from strategy and ideation through implementation and release for multiple business use cases.- Led team in implementing MetLife’s first automated use case employing ChatGPT to analyze and summarize complex medical records for claim adjudication.

New York, Ny, Us

- Technical lead for team developing and deploying to Azure cloud services an end-to-end auto-adjudication system for MetLife pet insurance. This solution integrates optical character recognition (OCR), predictive modeling, and business logic automation to read claim forms and automatically provide a decision and payment to the customer.- Analyzed COVID case, testing, and vaccination data (primarily from NY Times and Johns Hopkins open-source data) to provide data for dashboards used by business to make decisions on return to work. - Supported numerous R&D efforts through project scoping, advising the research, and assisting in investigations, when required.

Thousand Oaks, Ca, Us

- Investigated and implemented deep convolutional, recurrent, autoencoder, and Bayesian networks to identify and analyze neural network decision making processes. - Researched novel machine learning techniques for computer vision applications focused on understanding and improving neural network training and continuous learning.- Contributed to delivery of a recycling classification algorithm using conveyer belt imagery that was fully integrated into a recycling sorting system.- Interacted directly with DoD customers to present results and gather feedback.

Thousand Oaks, Ca, Us

Improved existing and trained new computer vision models aimed at identifying powerlines in drone imagery. Began with data curation, investigated improvements to existing VGG-based algorithm, implemented new deep convolutional networks, and showcased improved results to potential clients to highlight team capabilities.

- Investigated machine learning techniques for the application of nuclear nonproliferation safeguards.- Implemented numerical and stochastic surrogate modeling methods for non-smooth and large-scale nuclear transport models.- Employed surrogate models and Markov Chain Monte Carlo methods to solve source localization problems in urban environments. - Developed methods for estimating parameter influence using a Dirac-inspired impulse for time-dependent parameters.- Investigated estimators for small Sobol' indices and new global sensitivity measures using active subspaces and gradient-based approximations of variance. - Funded by the NNSA-Consortium for Nonproliferation Enabling Capabilities (CNEC).

Oak Ridge, Tn, Us

Research funded through the NNSA was focused on the convergence of particle filtering algorithms in the context of solving a source location problem employing a network of detectors.

Wilmore, Ky, Us

-Advised students in mathematics and physics homework and coached them through problem sets.-Facilitated multiple thought processes to help the student understand.

Wilmore, Ky, Us

-Tutored groups of students of mathematics and guided them through their homework.-Assisted students in all levels of mathematics from College Algebra to Applied Mathematics.

- Research Experience for Undergraduates (REU) funded by the National Science Foundation (NSF) and National Security Agency (NSA).- Project title: Parameter Selection and Model Reduction Techniques for Uncertainty Quantification in Large-Scale Models- Mentor: Dr. Ralph Smith- Presented findings to NSA representatives as well as at NCSU Undergraduate Research Conference and Joint Mathematics Meeting 2015

Doctor Of Philosophy (Ph.D.), Applied Mathematics

Master Of Science (M.S.), Computational And Applied Mathematics

Bachelor Of Arts (B.A.), Computational Mathematics

Graduate Certificate, Nuclear Nonproliferation Science And Policy