Eugene Shvarts

Head of Data Science at Teleport
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Location
Los Angeles, California, United States, US

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Experience

    • France
    • Transportation, Logistics, Supply Chain and Storage
    • 1 - 100 Employee
    • Head of Data Science
      • Feb 2023 - Present
    • United States
    • Higher Education
    • 700 & Above Employee
    • Applied Mathematics PhD
      • Oct 2020 - Mar 2023
    • Research Scientist
      • Mar 2021 - Dec 2021
    • United States
    • Wellness and Fitness Services
    • 1 - 100 Employee
    • Engineering, Data Science
      • Apr 2020 - Sep 2020

      Designed and built infrastructure for an application collecting and securely handling medical data. Designed and built infrastructure for an application collecting and securely handling medical data.

    • Lithuania
    • Caterers
    • Co-Founder and CTO
      • May 2019 - Feb 2020

      Lead technical and product development for a full-stack application. • Ran weekly planning meetings, maintained product roadmap, and broke down full specs for planned features. • Designed, implemented, and deployed features and infrastructure elements alone. • Built and maintained an analysis pipeline for exploring data, and providing insights to users and stakeholders. Lead technical and product development for a full-stack application. • Ran weekly planning meetings, maintained product roadmap, and broke down full specs for planned features. • Designed, implemented, and deployed features and infrastructure elements alone. • Built and maintained an analysis pipeline for exploring data, and providing insights to users and stakeholders.

    • Book and Periodical Publishing
    • 1 - 100 Employee
    • Co-Founder and Chief Scientist
      • Mar 2016 - Apr 2019

      Directed research for, and development of October’s machine learning, recommendation, and analytics systems, including: • In-memory graph database performing asynchronous, distributed, online computation of connection strength in a social graph from a live stream of heterogeneous user actions, and efficient online collaborative filtering on changing graphs. • Agent-based simulator used to test and predict effects of algorithmic curation and filtering on social network topology and information propagation in online communities as they evolve. • Novel indexing system for performing linear algebra on (potentially sparse) matrices whose indices depend on shared, changing data. Research presentations include an invited talk at Stanford for the AAAI Symposium on Story-Enabled Intelligence (2019). Show less

    • Applied Mathematics Graduate Student
      • Sep 2012 - Aug 2016

      • Utilized multiscale transforms for graph data to generate novel features in a sparse regression model. Presented results on document classification at the SIAM Annual Meeting (2016).• Researched novel methods for generating multiscale basis dictionaries on tensor data, via hierarchical spectral clustering on derived hypergraphs.• Developed spectral methods for digraphs using the graph-distance matrix.

    • VIGRE Summer Researcher
      • Jun 2013 - Sep 2013

      Used novel methods in ensemble classification and manifold learning to detect spoken digits in video depicting moving lips.

    • Germany
    • Research Services
    • 1 - 100 Employee
    • Mathematical Imaging and Data Analysis Intern
      • Jun 2014 - Aug 2014

      • Designed and built a data pipeline for processing and de-noising flow cytometry images. • Developed fast wavelet feature-based classifier as a contribution towards on-line analysis of cells. • Designed and built a data pipeline for processing and de-noising flow cytometry images. • Developed fast wavelet feature-based classifier as a contribution towards on-line analysis of cells.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Mathematics Graduate Student
      • Sep 2011 - Jun 2012

      Thesis work in wavelet-like approximation on scattered data, with a new result extending multivariate trigonometric polynomial methods to other function classes. Presented results at the ICREA Conference on Approximation Theory and Fourier Analysis (2011). Thesis work in wavelet-like approximation on scattered data, with a new result extending multivariate trigonometric polynomial methods to other function classes. Presented results at the ICREA Conference on Approximation Theory and Fourier Analysis (2011).

    • Scientific Visualization Research Intern
      • Jan 2008 - Sep 2009

      • Performed systematic study of Robertson-Walker cosmological models with exotic fluids as the backbone for an educational application illustrating the discovery of the accelerated expansion of the universe. Presented results at the Southern California Conference for Undergraduate Research (2008). • Developed and implemented numerical simulations modeling gravitational lensing in a Schwarzschild metric. • Performed systematic study of Robertson-Walker cosmological models with exotic fluids as the backbone for an educational application illustrating the discovery of the accelerated expansion of the universe. Presented results at the Southern California Conference for Undergraduate Research (2008). • Developed and implemented numerical simulations modeling gravitational lensing in a Schwarzschild metric.

Education

  • University of California, Davis
    PhD Candidate, Applied Mathematics
    2012 - 2016
  • California State University-Los Angeles
    Master of Science - MS, Mathematics
    2011 - 2012
  • California State University-Los Angeles
    Bachelor of Science - BS, Mathematics and Physics
    2006 - 2011

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