• Chapman University

    Ph.D. Computational & Data Sciences (Schmid College of Science and Technology)

    In Progress
  • University of California, San Diego

    B.S. Physics w/ Specialization in Computational Physics; Minor in Computer Science

    Spring 2014

Work History

  • 2013

    Los Gatos Research

    Control Systems Engineer

    Design, simulation, development, programming, and construction of sensitive control system modules for high-performance applications. Worked with the designing of hybrid Analog-Digital systems. Acquired experience in seeing through a complex engineering project from start to finish.

    Jun '13 to Sep '13
  • 2012

    Los Gatos Research

    Full-Time Scientific SBIR Research

    Team member in multiple Small Business Innovation Research (SBIR) groups; full-time position in numerical computation, modeling and analyzing complex non-linear systems. Worked in embedded systems programming, deployment, and stress testing. Acquired comfort in a research environment with its goals and deadlines.

    Jul '12 to Sep '12
  • 2011

    Harbor Church College Ministry

    Core Leadership/Logistical Coordinator

    Practical experience in positions of head leadership over a large student organization. Dealt with working with and leading diverse teams, effective listening, and complex logistical coordination, and strategies for effective communication.

    Sep '11 to Jun '12
  • 2010

    UCSD Department of Physics

    Back-end Testing Consultant

    Offered consulting services for the construction of regression testing system for the scheduling manager and interface for a massively parallel grid computing network.

    Sep '10 to Feb '11
  • 2009

    Nexa Technologies, Inc

    Quality Assurance Division Intern

    Assisted with the architecture and implementation of a large-scale automated regression testing framework. Tackled practical issues of scaling, research and integration of software libraries, and working with large teams, as well as sheer amounts of heavy scripting and programming.

    Oct '09 to Apr '10


  • C++
  • Java
  • Object-Oriented Design
  • Unix/Linux
  • Server Administration
  • SQL
  • Regression Testing
  • Bash
  • Version Control
  • Awk
  • Haskell
  • Python
  • Fortran
  • Machine Learning
  • Ruby
  • jQuery
  • Javascript
  • Artificial Neural Networks
  • Hidden Markov Models
  • Bayesian Probability Networks

Personal Projects

  • Machine Learning / Clustering

    Self-Organizing Maps

    Applying physical models to generate visualizations of complex multi-dimensional relational graphs as projections onto a two-dimensional mapping, based on self-organizing emergent principles, and recovering distinct clusters from the data.

  • Machine Learning / Neural Networks

    Neural Network-Based AI Game Player

    A modular construct/system for applying principles of Artificual Neural Networks to different games — of both deterministic/non-deterministic and perfect/imperfect information varieties.

  • Simulation

    Stochastic Evolutionary Simulations

    Various simulations exploring evolutionary algorithms with non-analytic fitness factors, including many experiments on mutable AI.


Strong ethic of accountability, integrity, self-drivenness and perseverance, eagerness to learn and acquire new skills, developed problem-solving mindset, adaptability.

Experience with high- and low-level programming, scripting, dealing with people, constantly changing and irregular work environments, simulations and modelling, short deadlines

University Coursework

  • Phys 120A, Phys 121

    Practical Electronics and Experimental Techniques

    Working with technologies such as LabView; experience with circuit design and construction; learned practical design principles of PID feedback systems and control theory.

  • Phys 105A,B

    Computational and Mathematical Physics

    The theory of differential equations and practical knowledge of numerical computation necessary for working with advanced physical theory and application.

  • CSE 150

    Artificial Intelligence and Machine Learning

    Expansive coverage of the ongoing fields of research in Machine Learning, including in-depth study in construction, training, and applications of Hidden Markov Chains, Bayesian Networks, and Artificial Neural Networks.

  • Math 170A,B,C

    Numerical Analysis, Matrix Computation & Computational Theory

    Explored the theory and limits behind numerical computation; studied current advanced numerical methods and algorithms for optimizing large-scale scientific computing.

  • Phys 140A

    Statistical Mechanics and Thermodynamics

    Advanced understanding of stochastic and thermal ensembles, emphasizing interdisciplinary applications in information theory and computational methodologies.