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CODY LIM [email protected] ⏐ (626) 673-7976 ⏐ 2141 Johnston St., Los Angeles, CA 90031 https://www.linkedin.com/pub/cody-lim/102/64b/98a | https://github.com/CodyLim
Education
California Institute of Technology - B.S. Computer Science (expected June 2019)
Summary Statement
I am a computer science student at Caltech proficient in Python, R, C, and C++, and am interested in software engineering and applications of machine learning and data science. I am seeking to apply my knowledge as a software engineering intern in Summer 2017.
Relevant Experience
• Undergraduate Researcher at USC Institute for Genetic Medicine (June 2016 – Present) o Using machine learning in Python to create image segmentation tools for
detecting and researching cancer cell dynamics. PI: Dan Ruderman • Research Intern at Keck School of Medicine of USC (June 2014 – August 2015)
o Studied adeno-associated viral vectors (AAV) for use in site-specific gene therapy in hematopoietic stem cells as a potential treatment for AIDS and other diseases of the blood and immune system. PI: Paula Cannon
Relevant Coursework
• CS 9 – Computer Science Research Seminar o Learned about and spent time working on research being conducted by
computer science faculty, from networking to optimization to biocomputation. • CS 2 – Data Structures and Algorithms
o Learned about programming methods for implementing data structures, algorithms, networking, and dynamic programming in C++.
• CS 11 – Computer Language Shop: C o Learned about syntax, pointers, data structures, and algorithms in C.
• CS 156 – Learning Systems o Learning about theory, algorithms, and applications of machine learning to Big
Data. • DAT204x - Introduction to R for Data Science (Microsoft/edX)
o Learning about data structures in R and its applications for data analysis.
Projects
• Othello AI (https://github.com/CodyLim/othello) o Implemented Othello (Reversi) player in C++ utilizing principal variation search,
a negamax algorithm that employs alpha-beta pruning. o Beat other AI including TA-created benchmark AI, placing in top 30% of AI in
Caltech Othello tournament.
