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Bio

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Timothy Blass is a seasoned data scientist with expertise in numerical analysis, algorithms, research, and machine learning. He has worked as a Director of Data Science at Trilliant Health and XOi Technologies, and has experience in leading data science teams, conducting research, and developing mathematical models. He holds a Doctor of Philosophy (Ph.D.) in Mathematics from the University of Texas at Austin and a Bachelor's degree in Mathematics and Physics from the University of Michigan.

Experience

    • Director of Data Science
      • Sep 2023 - Present

    • United States
    • Software Development
    • 100 - 200 Employee
    • Director of Analytics
      • Apr 2020 - Aug 2023

    • Principal Data Scientist
      • Aug 2019 - Apr 2020

    • United States
    • Software Development
    • 1 - 100 Employee
    • Director of Data Science, Financial Services
      • Mar 2019 - Jul 2019

    • Data Science Lead for Financial Services
      • Nov 2018 - Mar 2019

      I lead the Digital Reasoning data science team working with large financial institutions. We use NLP and machine learning to provide Conduct Surveillance services for compliance and risk mitigation.

    • Senior Data Scientist
      • Jan 2018 - Nov 2018

      I am a data scientist working on NLP models for surveillance within financial institutions. I help our clients plan and execute their projects to meet their internal and regulatory requirements.

    • Data Scientist
      • Apr 2017 - Jan 2018

  • Capital One
    • San Francisco
    • Principal Data Scientist
      • Jun 2015 - Apr 2017
      • San Francisco

      I was the lead data scientist for the business-facing products team (Team Medici) within Digital Commerce at Capital One.

    • Assistant Professor
      • Jul 2014 - Jul 2015

      • Conducted applied math research (dynamical systems and partial differential equations) • Adapted and implemented machine learning techniques for a classification problem arising in bioengineering • Provided mathematical analysis for engineering group’s accelerometer model• Taught series of Numerical Analysis courses, advise graduate and undergraduate students

    • Postdoctoral Associate
      • Sep 2011 - Aug 2014

      • Conducted interdisciplinary applied mathematics research, directed towards applications in materials science. Produced theoretical and computational results.• Devised practical implementation of theoretical algorithm to model structure of irregular crystalline materials; used implementation to investigate specific model properties • Developed original mathematical model to identify structural properties of constant-volume systems (e.g. incompressible fluids); simplified project collaborators’ computational strategy for model application • Published results in top peer-reviewed journals• Courses taught: Numerical Methods, Matrix Algebra, Real Analysis• Spent one academic year at Oxford University (England): demonstrated appropriate replacement of complicated (non-linear) mathematical model for movement of flexible material system with simplified (linearized) model

    • Intern in Computational Mathematics and Algorithms Department
      • Jun 2011 - Aug 2011

      • Developed a theoretical framework to understand mathematical models with stochastic applied forces with wide ranging applications (e.g. RLC circuits, fluid-gas interfaces) • Result produced a greatly simplified, computationally cheap and efficient method to identify system stability under external forces

    • Graduate Research Assistant and Assistant Instructor
      • Sep 2004 - May 2011
      • Austin, Texas

      • Produced theoretical and computational results on dynamical systems and partial differential equations• Earned multiple research fellowships and a Teaching Excellence Award• Tutored students in Probability and Calculus, taught and assistant-taught several courses (e.g. Differential Equations, Real Analysis, Calculus)

    • Intern in Computational Mathematics and Algorithms Department
      • Jun 2010 - Aug 2010

      • Developed a theoretical framework to understand mathematical models with stochastic applied forces with wide ranging applications (e.g. RLC circuits, fluid-gas interfaces) • Result produced a greatly simplified, computationally cheap and efficient method to identify system stability under external forces

Education

  • 2004 - 2011
    The University of Texas at Austin
    Doctor of Philosophy (Ph.D.), Mathematics
  • 2000 - 2004
    University of Michigan
    Bachelor's degree, Mathematics and Physics

Suggested Services

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Industry Focus. “Computer and Network Security”

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