Matthew Domingo

acxab8@r.postjobfree.com

SKILLS:

Linux, C++11, C++, Python, Java, git, SciPy.

Fast learner, e xperience with git, understanding of data structures, understanding of algorithms, is able to learn complex concepts without outside assistance as exemplified by being self-taught in Python, Java and MS SQL.

EXPERIENCE:

Research Technician - Loma Linda University, Loma Linda CA Sep 2014 - Jun 2015

● Designing and building a nanodosimeter.

● Predicting the activation rate of nanodosimeter using monte carlo simulations in C++.

● Increased accuracy of monte carlo simulations of a proton computed tomography (pCT) scanner.

● Quantitative analysis of datasets using Python and C++.

● Developed machine-learning program in C++ that parsed real-world data that were used for image reconstruction.

Undergraduate Researcher - Santa Cruz Institute of Particle Physics, Santa Cruz CA Jul 2013 - Jun 2014

● Co-authored paper on the response of Large Hadron Collider beam loss simulations on the ATLAS detector

● Performed tests to observe the effects of irradiation on silicon strip detectors for the ATLAS detector in CERN

● Analyzed data sets using Microsoft Excel to find the characterize prototype silicon strip detectors.

EDUCATION:

B.S. Physics - University of California-Santa Cruz, Santa Cruz CA Sep 2010 - Jun 2014

● Wrote a thesis on the effects of annealing on irradiated silicon strip detectors

● Some coursework: linear algebra, multivariable calculus, statistics, intro to java, statistical mechanics, General Relativity, electrostatics, quantum mechanics, biophysics, solid state physics, analog electronics.

PUBLICATIONS AND THESIS:

● P. Rose, A.A. Grillo, V. Fadeyev, E. Spencer, M. Wilder and M . Domingo, "Simulation of the ATLAS SCT barrel module response to LHC beam loss scenarios," Journal of Instrumentation 9 (2014) C03012.

● M. Domingo, "Interstrip Isolation on ATLAS12 Prototype Devices for ATLAS Upgrade," UC Santa Cruz (2014). (Thesis)