Researcher/Data Scientist

Maxwell Baugh

*******@**********.*** 951-***-****

Riverside, CA Willing to Relocate

QUALIFICATIONS

Technical Background

Simulation •DataModeling•Optimiza-

tion • Machine Learning • Signal Pro-

cessing • Algorithmic Research • Fea-

ture Extraction • Statistical Analysis

Programming

Over 10K lines: Python • C++

Familiar: Linux/Unix • Git • LA

TEX •

TensorFlow • Jupyter Notebook •

Matplotlib • Microsoft Office • Numpy

EDUCATION

University of California

Santa Cruz

Doctor of Philosophy (PhD)

Physics Dec 2019

University of California

Berkeley

Bachelor of Arts (BA)

Physics, Astrophysics June 2013

COURSES

Graduate

Electromagnetism I-II • Statistical

Mechanics • QuantumMechanics•

Quantum Field Theory I

Undergraduate

Linear Algebra • Differential Eqns. •

Basic Semiconductor Lab •

Experimentation Lab •

Coursera

Neural Networks and Deep Learning •

Convolutional Neural Networks • Data

Structures and Algorithms •

Reinforcement Learning •

Sample-based Learning Methods

LINKS

Github: Astromax

LinkedIn: MaxwellBaugh

WORK EXPERIENCE

Santa Cruz Institute for Particle Physics

Graduate Researcher, PhD Candidate Sep 2013 – Dec 2019

• Carried out high level particle physics research as part of the international ATLAS collaboration, testing fundamental physics at the Large Hadron Collider.

• Characterized backgrounds for a disappearing track analysis: used a data-driven approach to estimate the number of electrons and muons which would mimic the signal produced by New Physics particles [1].

• Conducted a feasibility study for a New Physics search using k-NN estimation on Monte Carlo samples.

• Used ROOT’s Toolkit for Multivariate Analysis to derive insights from particle collision data, distinguishing signal events from background confusers.

[1] Baugh, Maxwell. Characterization of the Background due to Lepton Scattering to the χ

χ

0

π

Disappearing Track Signature with the ATLAS Detector. PhD Thesis, 2019. University of California Santa Cruz

Teaching Assistant Sep 2013 – Jun 2015

• Led discussion sections for undergraduate courses, and guided students in conducting laboratory experiments as part of the physics curriculum.

• Held academic office hours and evaluated students’ written work.

• Organized efforts to overhaul the structure of pedagogic laboratory manuals. UC Berkeley; Lawrence Berkeley National Lab

Undergraduate Research Student Oct 2011 – May 2013

• Conducted research with the SNO+ collaboration.

• NEXT Collaboration: Applied ROOT/C++ to calibrate timing in photomultiplier tubes.

• Lens development for Space Sciences Lab.

CAPSTONE AND SIDE PROJECTS

A Complete Reinforcement Learning System Capstone Project Oct 2020

• Built an agent to navigate an environment using the Expected SARSA RL algorithm with the ADAM optimizer

Genome Assembly Capstone Project Aug 2020

• Assembled the genome of a virus from error-prone segments using the de Bruijn Graph technique

Traveling Salesperson Genetic Algorithm Sept 2018

• Experimented with a genetic algorithm to quickly approximate a solution to a toy example of the Traveling Salesperson Problem

Contact this candidate