Education⌗

  • UT Austin
    • Degree: Ph.D., M.S. in Computational Science, Engineering, and Mathematics
    • Honors: CSEM Fellow
  • Columbia University
    • Degree: B.S., Applied Mathematics
    • Honors: Magna Cum Laude
  • Georgetown University
    • Degree: B.S., Mathematics
    • Honors: Magna Cum Laude, Dahlgren Medal Recipient, National Mathematics Honorary Society Member

Employment⌗

  • UT Austin
    • Teaching Assistant (2020-Present)
      • Grounded Natural Language Processing
      • Natural Language Processing
      • Machine Learning
      • Case Studies in Machine Learning
      • Numerical Linear Algebra
      • Calculus
  • CGAL
    • Google Summer of Code Contributor (Summer 2023)
      • Implementing algorithms to resolve entanglement and 3D snap rounding
  • Godot Engine
    • Google Summer of Code Contributor (Summer 2021)
      • Implemented wind-force dynamics for soft bodies
  • Coreform
    • Visiting Researcher (Summer 2019)
      • Implemented recent advancements in the computation of optimal quadrilateral layouts
  • The Equity Engineering Group
    • Group Head, Applied Research and Development (2016-2018)
      • Oversaw the research, development, and consulting efforts of a five-person applied research and development team
      • Coordinated year-long effort to create a production web framework for the delivery of engineering applications as a service
      • Helped in various capacities to create and maintain approximately 30 engineering applications that are now hosted in this framework
      • Developed core functionality for the web framework, such as the set of Python tools used for rapid, standardized development of backend calculators and the framework’s data-serialization scheme
      • Helped develop and test mathematical model of microstructural transformation in steels
      • Made improvements to E2G’s high temperature hydrogen attack (HTHA) model, including addition of new geometries, improved handling of residual stress, and inclusion of constrained piping stresses
    • Senior Staff Researcher (2015-2016)
      • Major contributor to the solution of multi-million dollar industry problem as a member of E2G’s efforts to predict and prevent high temperature hydrogen attack (HTHA)
      • Lead software developer of E2G’s HTHA model
      • Part of team developing innovative software for finite element simulation of hot tap welding
      • Successfully developed prototype web apps for HTHA, analysis of creep rupture data, and hot tap simulation that spurred investment in a production-quality framework for engineering web apps
      • Part of team developing new method for non-destructive examination of microstructural damage in equipment exposed to severe thermal excursions
      • Nominated for best paper in the High Pressure Technology Track at the 2015 ASME PVP Conference
    • Staff Researcher (2013-2015)
      • One of two founding members who spearheaded the creation of E2G’s Research and Development group
      • Successfully pioneered new business opportunities as project lead on novel approach to the analysis of the remaining life and integrity of high-pressure equipment in Low Density Polyethylene (LDPE) service
      • Awarded best conference paper in the High Pressure Technology Track at the 2014 ASME Pressure Vessels and Piping (PVP) Conference: “A Remaining Life Assessment of Autofrettaged Tubes from an LDPE Facility”
      • Lead developer of E2G’s commercial software module for the analytic approximation of stresses induced by external loads on a nozzle
      • Developed Abaqus plug-ins to streamline model development, including the automated generation of meshed 3-D geometries and the integration of a materials database
      • Created tool for non-linear least squares fitting of MPC Omega creep coefficients after discovering insensitivity of popular linearized simplification to important parameters
      • Created tool for easy estimation and visualization of probability-of-failure contours to capture uncertainty in the parameters required for assessment of crack-like flaws with a Failure Assessment Diagram

Select Publications⌗

  • On the Applicability of Neuber’s Rule for Low-Cycle Fatigue. D. W. Spring, E. Gassama, A. Stenta, J. Cochran , C. H. Panzarella, in Proceedings of the ASME Pressure Vessels & Piping Conference, Vancouver, BC, Canada, 2016.
  • A Probabilistic Approach to the Thermo-Mechanical Analysis of Coke Drums. E. Gassama, D. W. Spring, A. Stenta, J. Cochran, C. H. Panzarella, in Proceedings of the ASME Pressure Vessels & Piping Conference, Vancouver, BC, Canada, 2016.
  • Summary and Applications of the New Fatigue Rules in Part 14 of API 579-1/ASME FFS-1 and WRC 550. A. Stenta, E. Gassama, D. W. Spring, J. Cochran, C. H. Panzarella, D. A. Osage, in Proceedings of the ASME Pressure Vessels & Piping Conference, Vancouver, BC, Canada, 2016.
  • Standardization of Fatigue Methods for Use in API 579-1/ASME FFS-1. A. Stenta, E. Gassama, D. W. Spring, C. H. Panzarella , J. Cochran, D. A. Osage, in WRC Bulletin 550, The Welding Research Council, Inc., 2016.
  • A Damage Assessment of Autofrettaged Tubes Exposed to Decompositions in an LDPE Facility. J. Cochran, J. Dobis, T. Silfies, in Proceedings of the ASME Pressure Vessels & Piping Conference, Boston, MA, 2015.
  • Estimation and Visualization of the Probability of Failing an Assessment When Using a Failure Assessment Diagram. J. Cochran, R. Z. Guo, C. H. Panzarella, in Proceedings of the ASME Pressure Vessels & Piping Conference, Boston, MA, 2015.
  • Inverse Thermal Analysis of a Coke Drum Using a Bayesian Probabilistic Approach. E. Gassama, C. H. Panzarella, J. Cochran, in Proceedings of the ASME Pressure Vessels & Piping Conference, Boston, MA, 2015.
  • A Remaining Life Assessment of Autofrettaged Tubes from an LDPE Facility. J. Cochran, C. H. Panzarella, in Proceedings of the ASME Pressure Vessels & Piping Conference, Anaheim, CA, 2014.

Coursework and Skills⌗

  • Select Coursework
    • Numerical Methods for PDEs
    • Finite Element Methods
    • Physical Simulation for Computer Graphics
    • Computational Inverse Problems
    • Integrated Numerical and Statistical Computations
    • Data Structures and Algorithms
    • Fluid Mechanics
    • Analytic Methods for PDEs, Non-Linear Dynamical Systems
    • Diffusive Phenomena and Stochastic Differential Equations
    • Stochastic Models—Time Series and Markov Chains
    • Mathematics in Deep Learning
    • Data Mining—A Mathematical Perspective, Machine Learning
    • Applied Data Science
    • Grounded Natural Language Processing
    • Functional Analysis
    • Complex Analysis
    • Real Analysis
    • Algebraic Topology
    • Differential Topology
  • Skills
    • Commercial software development
    • Programming experience with Fortran, C++, Python, Java, and JavaScript
    • Version control with Git, SVN, and Mercurial
    • Fluent German (reading, writing, speaking)
    • Intermediate Ukrainian (reading, writing, speaking)