Education

Ph.D. Mathematics

University of California, Los Angeles (UCLA)
2016 – Present
Los Angeles, CA

B.S. Applied Mathematics and Computer Science

New Jersey Institute of Technology (NJIT)
2012 – 2016
Newark, NJ

Research

Publications

  • Thomas K. Tu, Jacob D. Moorman, Dominic Yang, Qinyi Chen, Andrea L. Bertozzi, "Inexact Attributed Subgraph Matching." Proc. GTA³ 4.0: The 4th workshop on Graph Techniques for Adversarial Activity Analytics, IEEE International Conference on Big Data, Atlanta, GA, Dec. 2020. (to appear)
  • Thomas K. Tu, Dominic Yang, "Fault-tolerant Subgraph Matching on Aligned Networks." Proc. GTA³ 4.0: The 4th workshop on Graph Techniques for Adversarial Activity Analytics, IEEE International Conference on Big Data, Atlanta, GA, Dec. 2020. (to appear)
  • Jacob D. Moorman, Thomas K. Tu, Denali Molitor, Deanna Needell, "Randomized Kaczmarz with Averaging." BIT Numerical Mathematics, Aug. 2020.
  • 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.

Interests

  • Subgraph Isomorphism
  • Iterative Linear System Solvers
  • Network Analysis
  • Machine Learning
  • Image Processing

Graduate Student Researcher

UCLA Department of Mathematics
June 2018 – Aug 2018
Los Angeles, CA
  • UCLA CAM REU 2018. Supervised undergraduates while doing research on graph isomorphism algorithms.

Undergraduate Researcher

NJIT Department of Mathematics
Jan 2014 – Dec 2014
Newark, NJ
  • Optimal control for observing uncertain velocity fields

Work

Data Science Intern

Neural Analytics
April 2017 – Sept 2017
Los Angeles, CA
  • Explored data augmentation methods via simulations
  • Overhauled data post-processing and visualization frameworks to improve extensibility

Software Engineering Intern

Trillium Labs
Jan 2015 – May 2016
New York, NY
  • Built an equity market data visualization web app to allow interactive access to millisecond resolution records.
  • Contributed to an outlier detection tool used to identify interesting stocks and transactions.
  • Combined outlier detection and data visualization tools into a workflow for generating market insights.

Teaching

Teaching Assistant

UCLA Department of Mathematics
2016 – 2018
Los Angeles, CA
  • PIC 10B: Intermediate Programming (F'16)
  • Math 151B: Applied Numerical Analysis (S'17, S'18)
  • PIC 10A: Introduction to Programming (W'18, S'18)
  • PIC 16: Python with Applications (F'17, W'18)
  • PIC 40A: Introduction to Programming for Internet (F'18)
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