Seth Axen

About Me

I'm a data scientist, statistical programmer, and machine learning software engineer.

I passionately advocate for open source software and contribute to many open source projects, especially in the Julia language, including:

• ArviZ: exploratory analysis of statistical models

• Manifolds.jl: algorithms and statistics on manifolds

• ChainRules.jl: generic automatic differentiation rules

• e3fp: 3D molecular fingerprinting

Check out some of my projects or publications, or follow me on GitHub, Mastodon, or Twitter.

Experience

• Machine Learning Research Engineer, ML ⇌ Science Colaboratory, University of Tübingen (2021-present)

• Postdoctoral Researcher, UCSF (2020-2021)

• Systems Analyst, DOE Joint Genome Institute (2009-2014)

Education

• PhD in Biological and Medical Informatics, UCSF (2020)

• BS in Biochemistry, UCLA (2008)

Miscellany

• Bayesian Computational Biology in Julia, with Seth Axen on the Learning Bayesian Statistics podcast.