Alex Adamson
Quantitative Researcher
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAlex Adamson is a quantitative researcher and engineer with 11 years of experience building machine learning platforms and production-grade analytics for high-frequency trading and research environments. Based in New York, he moved from building ML infrastructure at Two Sigma to applied quantitative research at Jump Trading, blending software engineering rigor with statistical modeling. His open-source contributions include enhancing time-series analytics in Two Sigma’s flint library—adding AIC/BIC, log-likelihood, and exponential smoothing—and hardening distributed test tooling in pytest-xdist, showing attention to both modeling fidelity and reliability. With a CS MS and BS from Stanford and a background spanning computer vision to low-latency services in Go, he brings a rare combination of research depth and production engineering discipline.
11 years of coding experience
7 years of employment as a software developer
Kingwood High SchoolMaster of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Stanford University
English
Github Skills (10)
linear-regression10
scala10
data-analysis10
apache-spark10
time-series10
statistical-models10
pytest10
python10
plugin10
testing10
Programming languages (5)
Github contributions (5)
twosigma/flint
Nov 2016 - Mar 2017
A Time Series Library for Apache Spark
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:7 commits in 4 months
Contributions summary:Alex contributed to the `flint` library, focusing on adding statistical functionalities related to linear regression models. This involved implementing methods for calculating Akaike and Bayesian information criteria, and log-likelihood, along with adding corresponding tests. The contributions also included the implementation of Exponential Smoothing summarizing. These changes suggest the user is contributing to the analytical capabilities of the time series library.
apache-sparktime-seriessparktimeseries
pytest-dev/pytest-xdist
Nov 2018 - Jan 2019
pytest plugin for distributed testing and loop-on-failures testing modes.
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 commits, 1 PR, 5 comments in 1 month
Contributions summary:Alex's contributions primarily focus on improving the testing infrastructure and ensuring the reliability of the pytest-xdist plugin. They added tests to cover edge cases with unserializable warning details, and addressed existing issues related to serialization. They also added changelog entries and addressed comments to refine existing test code. These commits enhance the test coverage and robustness of the plugin.
distributed-testingpytesttestingpytest-plugin
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