Christopher Davis
Incoming Research Developer at Quantitative Investment Society
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolChristopher Davis is an incoming research developer and MS student in Computer Science at the University of Michigan with 12 years of software experience spanning systems, cloud, and research roles. He has shipped C and C++ work for Google Home devices, won an AWS machine learning competition, and interned on Google Scholar projects while leading the Quantitative Investment Society. His research blends computer vision and robotics—focusing on diffusion models and neural radiance fields—while building an autonomous UAV to locate radiation sources in nuclear engineering experiments. Based in Ann Arbor with dual UK/US ties, he pairs low-level systems expertise with applied ML for perception-driven robotics, and often bridges academic research with production-grade engineering.
12 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of MichiganHigh School Diploma, High School Diploma at Bancroft School
English, Spanish, Portuguese
Github Skills (59)
notebook10
jupyter10
python10
data-science10
statistics10
machine-learning10
jupyterlab10
jupyter-notebook10
data-analysis10
scikit9
scikit-learn9
cli8
forge8
matching7
command-line7
Programming languages (5)
Github contributions (5)
cab938/si330_fa20
Aug 2020 - Dec 2020
Contributions:71 commits, 57 pushes, 1 branch in 3 months
usaskulc/population_matching
Sep 2013 - Jul 2014
Method for matching a subsample to a representative sample from a larger population.
Contributions:8 commits in 9 months
matchingstatisticsmethod
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