Daniel Phillips
Independent AI Safety Researcher at Self-employed
Sydney, New South Wales, Australia
Summary
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SeniorDaniel Phillips is an independent AI safety researcher collaborating with Redwood Research and Anthropic through the MATS fellowship, funded by AI Safety Support. He previously built a track record as a software engineer and high-frequency trading performance researcher, with broad interests spanning systems, languages, and formal verification. His foundations lie in algorithms from the Australian Informatics Olympiad, complemented by advanced operating systems study at UNSW where he served as a lab assistant for a term. He developed professional PostgreSQL experience to the point of becoming the resident expert at Premonition, though he hasn’t worked with it much recently or contributed to the codebase. His hands-on work includes Scala for functional programming and systems programming in C and Rust, notably for running HFT performance experiments. Based in Sydney, Australia, he combines research rigor with practical software engineering to advance AI safety in complex, performance-sensitive environments.
14 years of coding experience
9 years of employment as a software developer
Github Skills (38)
marshalling10
protocol-buffers10
statements10
serialization10
protoc10
rpc10
protobuf310
buffers10
protobuf10
python-development9
data-interchange9
packaging9
virtualenv9
interchange9
pip9
Programming languages (5)
Github contributions (5)
DpEpsilon/COrg
Oct 2015 - Jan 2025
Contributions:6 pushes in 9 years 4 months
DpEpsilon/doobie-codegen
Jul 2016 - Mar 2021
Generate Doobie database code from sql statements.
Contributions:1 release, 57 pushes, 34 branches in 4 years 8 months
doobiesql-statementssqlstatementsdatabase
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