Matthew Pollock
Principal Data Scientist And Group Lead
Grantham, New Hampshire, United States
Summary
👤
Senior🎓
Top SchoolMatthew Pollock is a principal data scientist and engineering leader with over a decade of experience building fast-time simulation platforms and scalable data pipelines for aviation analytics. He combines a strong statistical foundation (MS in Statistics) with hands-on software development—authoring and scaling MITRE's Akela composable simulation environment and shaping cloud and data platform capabilities. Comfortable across R, Java, Spark, Python and big-data tooling, he has contributed to the sparklyr project to improve nested Parquet handling and Spark debugging for R users. As a people leader and division-level contributor, he directs teams, teaches analysis techniques, and promotes reproducible, code-driven research. His work uniquely bridges discrete-event/DEVS simulation, causal/Bayesian methods, and production analytics used to model National Airspace System operations. Colleagues rely on him for pragmatic tool-building that turns complex simulation and big-data problems into maintainable analyst workflows.
10 years of coding experience
14 years of employment as a software developer
Masters Math Education, Masters Math Education at Syracuse UniversityMS in Statistics Statistics, MS in Statistics Statistics at Texas A&M UniversityBS Mathematics minor in Philosophy, BS Mathematics minor in Philosophy at Franciscan University of Steubenville
Stackoverflow
1,075reputation
50kreached
19answers
26questions
Github Skills (13)
dataframes10
apache-spark10
spark10
dataframe10
r10
sql9
distributed-systems9
grouping6
knitr6
sparklyr6
dplyr6
tidyr6
if-statement6
Programming languages (10)
Github contributions (5)
sparklyr/sparklyr
Dec 2017 - Mar 2019
R interface for Apache Spark
Role in this project:
Back-end Developer
Back-end DeveloperContributions:18 commits, 11 PRs, 74 comments in 1 year 3 months
Contributions summary:Matthew contributed to enhancing the `sparklyr` R interface for Apache Spark. Their work involved optimizing data reading operations for nested Parquet data through schema input. They added support for accessing LongType within the SQLUtils and improved the handling of multiple input arguments in sdf_mutate. The user also implemented functionality to print RDD debug strings for inspecting stages and partitions.
rsparklyrmachine-learningrstatsspark
mitre/aviationgeoms
Oct 2018 - Aug 2021
ggplot2 geoms for aviation
Contributions:7 PRs, 8 pushes, 3 branches in 2 years 10 months
ggplot2aviationvisualization
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