Tung T. Nguyen

Senior Scientist at OnePick
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Contact Information
us****@****om
(386) 825-5501
Location
Madison, Wisconsin, United States, US
Languages
  • Vietnamese Native or bilingual proficiency
  • English Full professional proficiency
  • French Limited working proficiency

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5.0

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Xingyu W.

I worked with Tung as a math major undergrad at the University of Chicago through the Directed Reading Program (DRP). Tung is a detail-oriented problem-solver with a strong mathematical background. During the DRP project, he demonstrated the materials intuitively, walking me through every step. As a teacher, he made difficult materials fun and understandable, demonstrating his ability to communicate technical materials effectively. Tung is also a responsible and communicative mentor. Even after the program, when I started doing my independent research in number theory, he would voluntarily take time to help me review my paper. I am sure that his technical capacity, professionalism, and mentorship ability will benefit any organization.

Austin Rochford

During his time at Kibo Commerce, Tung quickly got up to speed on the ecommerce industry, the statistical and machine learning methods that are used in ecommerce, and showed excellent customer focus. He also impressively expanded his experience with the Python data science stack and professional software engineering practices (version control, unit testing, etc.).

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Credentials

  • NLP with Python for Machine Learning Essential Training
    LinkedIn
    May, 2020
    - Nov, 2024

Experience

    • United States
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Senior Scientist
      • Feb 2022 - Present

      Study and implement several graph optimization problems such as the Vehicle Routing Problem and its generalization. Our company also collaborates with Muller's lab (Western University) to solve some challenging problems in spectral graph theory. Study and implement several graph optimization problems such as the Vehicle Routing Problem and its generalization. Our company also collaborates with Muller's lab (Western University) to solve some challenging problems in spectral graph theory.

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Postdoctoral Associate
      • Jun 2021 - Present

      Do research in computational and theoretical nonlinear dynamics. Our lab develops computational tools and mathematical models to solve problems in network theory and neuroscience. Do research in computational and theoretical nonlinear dynamics. Our lab develops computational tools and mathematical models to solve problems in network theory and neuroscience.

    • United States
    • Research Services
    • 1 - 100 Employee
    • Volunteer
      • Mar 2021 - Feb 2022

      I provide expertise NatureClaim Org on mathematical modeling and data analysis in the following areas: machine learning, data science, mathematical modeling and their applications to biology and medicine. I provide expertise NatureClaim Org on mathematical modeling and data analysis in the following areas: machine learning, data science, mathematical modeling and their applications to biology and medicine.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Student Researcher
      • Aug 2014 - Dec 2020

      I study special values of L-functions for motives over global fields. I proved several of Kato's conjectures on heights of motives and special values of L-functions. Our results shed some new light on the generalized Tamagawa number conjecture.

    • Instructor
      • Jul 2019 - Aug 2019

      Designed curriculum for and taught a summer course "Introduction to mathematics via proofs-basedmethods" for incoming UChicago students.

    • United States
    • Software Development
    • 100 - 200 Employee
    • Data scientist intern
      • Jun 2020 - Aug 2020

      - Implemented a novel sequential A/B testing algorithm on historical Kibo's data with more than 4000 campaign groups. The new algorithm saved 50% of running time on average and could help clients make real-time decisions. - Implemented Bayesian A/B testing using probabilistic programming on historical Kibo's data for four different metrics. This new approach helps marketers answer more complicated questions in comparison with classical A/B testing. - Implemented a novel sequential A/B testing algorithm on historical Kibo's data with more than 4000 campaign groups. The new algorithm saved 50% of running time on average and could help clients make real-time decisions. - Implemented Bayesian A/B testing using probabilistic programming on historical Kibo's data for four different metrics. This new approach helps marketers answer more complicated questions in comparison with classical A/B testing.

Education

  • University of Chicago
    Doctor of Philosophy - PhD, Algebra and Number Theory
    2014 - 2020
  • Vietnam National University, Hanoi
    Bachelor's degree, Mathematics
    2009 - 2014

Community

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