Python C++ Statistics

Jason Driver

San Mateo, CA ***** 650-***-**** ********@*******.*** github.com/jasondriver

Education

MS Computer Science

University of California, Davis

December 2018

Advisor: Fereydoun Hormozdiari

BS Bioengineering: Biotechnology

University of California, San Diego

December 2013

Coursework: Advanced Operating Systems, Design and Analysis of Algorithms, Computer Architecture, Visual Recognition/Machine Learning, Software Engineering, Programming Languages Experience

Graduate Research Assistant UC Davis (Hormozdiari Lab, Davis, Ca) (8/2017-12/2018)

● Performed genotyping over matrices using statistical and combinatorics techniques

● Built statistical models in an unix environment and evaluated performance using precision, recall, accuracy, and likelihood ratio

Teaching Assistant UC Davis (CS Department, Davis, Ca) (9/2017-6/2018)

● Operating Systems (ECS150) and Intro to Programming (ECS30)

● Taught 2 weekly discussions (>50 students each) in C

● Evaluated large student projects in C, administered oral exams, made grading rubrics, graded exams Research Associate I Illumina (Systems Integration, San Diego, Ca) (5/2015-9/2015)

● Evaluated DNA libraries on developmental products and presented findings to senior scientists Research Assistant NASA (ARC, Mountain View, Ca) (11/2014-5/2015)

● Developed novel biocompatible coating technique for previously developed silicon based sensors Enzymology Intern Verenium/BASF Corporation (San Diego, Ca) (6/2013-9/2014)

● Worked in a cross-disciplinary team to develop enzymes, individually discovered >20 candidates Projects

● Masters Project: Genotyping Three-dimensional Genomics Genotyping (2017-2018): Implemented multithreaded command line application for genotyping structural variants in HiC data, >15GB (Python, multiprocessing, scipy, numpy, seaborn, R, bash, slurm)

● House Power Consumption Monitor (2018): Wrote serial library for device communication and sqlite database for logging (C++, SQL)

● Data Integrity using Blockchain (2018): Team project designed and implemented distributed system that stores the hash of log files immutably and flags modifications to those logs, optimized for high velocity (Python, hyperledger sawtooth, docker compose, google cloud, ymal) Computer Languages and Technologies

● C/C++, SQL, Python, Java, Javascript, HTML, CSS, Bash

● PyCharm, Vim, Git, Github, Shell, GCC, GDB, MySQL, Unix/Linux Environment, Windows, OSX

● Microsoft Word, Excel, Power Point

● Solid understanding of CS fundamentals and knowledge of Agile development process

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