JoelCarlsonResume .pdf
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Joel Carlson
http://joelcarlson.me
joelcarlson@snu.ac.kr | 82-010-3812-7524
LINKS
EDUCATION
Github: /joelcarlson
LinkedIn: /joelnkcarlson
Twitter: /jnkcarlson
BIOMEDICAL RADIATION SCIENCE, MSC | SEOUL NATIONAL UNIVERSITY
Mar. 2014 – Mar. 2016 | Seoul, Korea
PHYSICS, BSC | UNIVERSITY OF CALGARY
Sept. 2007 – Apr. 2012 | Calgary, Canada
COURSEWORK
GRADUATE
Monte Carlo Methods
Radiological Science
Convergence Science
Radiobiology
UNDERGRADUATE
Computational Physics
Statistical Mechanics
Python Programming
Optics
ONLINE
Practical Machine Learning
Statistical Inference
Bioinformatics
Regression Models
Matrix Algebra
SKILLS
PROGRAMMING
Highly Skilled:
R • Python
Working Knowledge:
C++ • JavaScript
Matlab • SQL
RESEARCH
RADIOLOGICAL PHYSICS LAB | SEOUL NATIONAL UNIVERSITY
Jun. 2013 – Present | Seoul, Korea
• Acquired, cleaned, and merged data sets from two sources of over 5,000,000 data
points each for analysis
• Applied decision tree regression models to the prediction of MLC errors during VMAT,
reducing positional errors by 80%
• Performed Gamma and DVH analysis on a multi-insitutional set of 114 VMAT plans to
validate results
COMPLEXITY SCIENCE GROUP | UNIVERSITY OF CALGARY
Sept. 2012 – Apr. 2012 | Calgary, Canada
• Developed C++ tool for analyzing a vast public database of human mitochondrial
genome data to investigate the occurrence of rare single nucleotide polymorphisms
EXPERIENCE
MEDICAL PHYSICS INTERN | TOM BAKER CANCER CENTER
May 2011 – Sept. 2011 | Calgary, Canada
• Designed and used Markov chain Monte Carlo to simulate a novel device utilizing a CsI
scintillator and a commercial CCD for aligning linear accelerator radiation and light
fields
• Created documentation manual and debugged software for a webcam based optical
system used to verify collimator angles
TEACHING ASSISTANT | UNIVERSITY OF CALGARY
Jan. 2011 – May 2012 | Calgary, Canada
• Supervised labs of up to 20 students enrolled in an introductory physics course
• Set up, executed, and explained fundamental and historical physics experiments
INSTRUCTOR | CHUNGDAHM LEARNING
Nov. 2012 – Mar. 2014 | Seoul, Korea
• Taught advanced conversational English and literature at an afterschool academy
PROJECTS
RADIOMICS | R PACKAGE WITH C++
• Allows calculation of texture analysis matrices, including GLCM, GLRLM,
GLSZM, and MGLSZM
• Supports calculation of more than 50 image features for classification
• Approximately 200 downloads per month from CRAN
RIMAGEPALETTE | R PACKAGE
• Pure R implementation of the median-cut algorithm for image color
quantization
• Tight integration with the popular ggplot2 plotting library

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