Curriculum Vitae

Jacob Moorman
 Applied Math Ph.D. Student at UCLA
Education
Ph.D. Mathematics
M.A. Mathematics
University of California, Los Angeles (UCLA)2016 – Present
2016 – 2018
Los Angeles, CAB.S. Computational Mathematics
B.S. Computer Science
New Jersey Institute of Technology (NJIT)2012 – 2016
2012 – 2016
Newark, NJResearch
Publications
 Jacob D. Moorman, Thomas K. Tu, Denali Molitor, Deanna Needell, "Randomized Kaczmarz with Averaging." Proc. Information Theory and Applications Workshop, La Jolla, CA, Feb. 2019.
 Jacob D. Moorman, Qinyi Chen, Thomas K. Tu, Zachary M. Boyd, Andrea L. Bertozzi, "Filtering Methods for Subgraph Matching on Multiplex Networks." Proc. GTA³ 2.0: The 2nd workshop on Graph Techniques for Adversarial Activity Analytics, IEEE International Conference on Big Data, Seattle, WA, Dec. 2018.
Subgraph Matching for Multichannel Networks
UCLA Department of MathematicsMay 2018 – Present
Los Angeles, CA Implemented subgraph matching algorithms using Python, PySpark, and GraphFrames
 Funded by DARPA for the Modeling Adversarial Activity program
 Worked with a team of students in a summer research program
Randomized Iterative Methods for Least Squares
UCLA Department of MathematicsApril 2018 – Present
Los Angeles, CA Computed the greedily optimal step size for the relaxed randomized Kaczmarz algorithm
 Proved linear convergence of the algorithm using the optimal step size
 Found a short recurrence for updating the step size
Reddit Profanity Analysis
UCLA Departments of Mathematics and StatisticsJan 2017 – Dec 2017
Los Angeles, CA Quantified structural differences between threads with and without profanity
 Performed topic modeling on comments and threads, analyzed the sentiment of the topics
 Found structure and sentiment of threads with profanity tend to be different from those without profanity
Particle Filtering for Uncertainty Quantification in Tracking
NJIT Department of MathematicsJan 2014 – Dec 2014
Newark, NJ Applied a particle filtering approach to identifying and tracking acoustic sources in 2 and 3 dimensions
 Wrote simulations and benchmark tests in C++ and MATLAB to evaluate performance
Technical Skills
Languages and Tools
 Proficient: Python (NumPy, SciPy, PySpark, GraphFrames, Networkx, Matplotlib), Matlab, JavaScript, git
 Working knowledge: C++, SQL, WebGL
Work
Data Science Intern
Neural AnalyticsApril 2017 – Sept 2017
Los Angeles, CA Developed quality metrics for transcranial doppler ultrasound data to improve search algorithms
 Created simulations for testing search algorithms to reduce the need for physical tests
 Automated routine data visualization processes
Software Engineering Intern
Trillium LabsJan 2015 – May 2016
New York, NY Built an equity market data visualization web app to allow interactive access to millisecond resolution records
 Implemented outlier detection methods to help identify interesting stocks and transactions
 Combined outlier detection and data visualization tools into a workflow for generating market insights
Game Development Consultant
Mission Critical StudiosSept 2012 – Nov 2014
Farmingdale, NJ Designed and prototyped levels for 2D puzzle game published on Steam
 Added custom physics mechanics to 3D action game in Unity using C#
Teaching
Teaching Assistant
UCLA Department of MathematicsSept 2016 – May 2018
Los Angeles, CA Math 174E: Mathematics of Finance (S'18)
 Math 171: Stochastic Processes (S'18, W'18, F'17)
 Math 170B: Probability Theory (S'17)
 Math 170A: Probability Theory (F'16)
 Math 155: Mathematical Imaging (W'18)
 Math 142: Mathematical Modeling (F'17)