Timothy Murray Email & Phone Number

Bellevue, Wa, Us

Bellevue, Wa, Us

Lead scientist on the Middle Mile Operations team in charge of Inventory Planning, supervising other scientists on related projects. Key initiatives include: Apparel Attribution and Allocation -- Developed first method for estimating unconstrained product demand from realized demand and out of stock data (internal publication). Estimates net lost sales opportunities in the presence of cross-product demand transference. ---- Currently being prepared for external journal submission. -- Led the development of optimization logic for apparel inventory ordering, considering store demands, potential lost sales, and packaging constraints to optimize inventory distribution. ---- Optimization logic was presented at INFORMS 2023 Annual Meeting and is being prepared for journal submission. -- Supervised the development of attribute-based models to augment demand estimates. -- Developed internal web application to expose allocation logic to inventory analysts. -- Collectively estimated to capture $33.6 million additional gross margin on existing inventory. End of Season Allocation -- Developed provably optimal linear time algorithm for allocation of inventory in clearance by considering markdown schedules. -- Initial tests suggest a $30-60 million annual revenue increase will be provided by this algorithm.

Reinforce and explain lecture material, guiding students through example problems. IE 310 Operations Research: Linear and Integer Programs, Simplex Method, Game Theory, and related topics. IE 300 Data Analysis: Probability, Statistics, and related Data Analysis topics. IE 370: Stochastic Processes and Applications. IE 533: Big Graphs and Social Networks. Ranked in top 10% of TAs across the University, Spring 2017.

Focus on developing alternative equilibria conditions to Nash, as many real-world games show non-purely selfish behavior, then modeling shift away from Nash behavior in a social network setting. Also developed applications for UAV routing in communication-denied areas.

Internship with Inventory Planning and Control research team. Developed a Random Forest and feed-forward Neural Network to predict FBA sellers’ responses to Amazon-imposed limits on inventory capacity. Used as part of a larger optimization model to avoid excess inventory from FBA sellers. Back tests estimate economic impact at 20% accuracy increase.

Lexington, Massachusetts

Built models using machine learning to lower the false alarm rate of a sensor array used by Group 47.

Tyson'S Corner, Va

Cyber Security:- Develop predictive models to detect malicious data using the H2O and SparkML machine learning frameworks, deployed adjacent to Apache Metron. Setup AWS environment (S3 and EC2) for model development. - Model to detect DGA's (domain generating algorithms) employed by botnets - Model to detect phishing emails based on email features and NLP analysis of the text- Develop alerting engine to detect malicious events in streaming log data - Wrote multiple rules to generate alerts based on sources such as FireEye, Bluecoat, and McAfee logsWeb Application Development- Developed pinboard application for internal use at Capital One, to allow teams to post progress and issues in the Agile pattern of software development.

Worked with Professor Strichartz at Cornell to test a theory he has related to the Laplacian Eigenvalue problem in certain regions on R^2 and other 2-spaces of constant curvature. I have been writing code to generate the data to help prove or disprove the theory. As of now, most of the data has been computed, and we are working towards publishing a paper under the heading of experimental mathematics.-Update: Paper has been recommended for publication in Communications on Pure and Applied Analysis.Received the 2014 Summer Math Award to fund this research.

Ithaca, Ny

CS 4850: Math Foundations for the Information Age. Held weekly office hours to assist student in understanding the material, which consists largely of algorithms for handling big data using graph theory and high-dimensional objects, as well as being responsible for grading assignments and proctoring exams. Also provided extra tutoring for students having particular difficulty in the course.

Ithaca, Ny

Course assistant for two sections of Math 1120: Calculus II. I lead homework hours for students and grade problem sets and exams.

University Of Washington, Seattle

Taught a week long introductory course on Java programming to children age 13-17. Gained experience in explaining concepts and ideas in a clear and concise manner, as well as working closely with a partner during co-teaching portions. Additionally, supervised overnight campers.

Olympia/Tacoma Wa

Assisted all levels from Pre-Algebra to Calculus I. Prepared students for Statistics and Calculus I AP exams.

Sumner, Wa

Educated beginner and intermediate classes as an instructor as well as assisting in training advanced classes. Currently a Second Degree Black Belt.

Doctor Of Philosophy (Ph.D.), Industrial Engineering - Operations Research, 3.82/4.00

Activities and Societies: INFORMS - Treasurer Fall 2017-Spring 2018Fully funded Doctoral program in Industrial Engineering. My area.

Bachelor’S Degree, Mathematics, Minor In Computer Science, Overall/Mathematics: 3.32/3.70 Out Of 4.0

Activities and Societies: Kappa Sigma Fraternity, Math Researcher, CS 4850 TAcum Laude, Mathematics