Mckane Andrus
PHD Student Researcher at University of Washington
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolMckane Andrus is a multidisciplinary PhD student researcher at the University of Washington with nine years of experience at the intersection of AI and society, combining technical work in reinforcement learning, NLP, and human-robot interaction with social science training in Science & Technology Studies and Value-Sensitive Design. Previously a Senior Research Associate at Partnership on AI and contributor at AI Now, they have bridged policy-facing research and technical algorithm development, including robust human-modeling and negotiable reinforcement learning. Their background spans top research groups (BAIR, CHAI) and applied roles that range from computational social science experiments to hands-on community tech management. Mckane’s work is characterized by rigor in algorithmic design paired with attention to normative and justice-oriented questions—an approach informed by teaching and outreach experience with youth and civic tech. Based in Seattle, they bring a rare blend of formal ML expertise and qualitative, design-driven perspectives that surface social risks often overlooked by purely technical teams.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, HCDE, Doctor of Philosophy - PhD, HCDE at University of WashingtonMaster of Science - MS, EECS, Master of Science - MS, EECS at University of California, Berkeley
Github Skills (11)
openstreetmap9
javascript8
editor6
entities5
reward3
map-editor3
dynamics2
python2
keras1
deep-learning1
tensorflow1
Programming languages (2)
Github contributions (5)
McKaneAndrus/IRLD
Jul 2018 - May 2019
Adaptations of previous methods to analyze difficulty of learning a dynamics model from demonstration with and without a reward model.
Contributions:1 PR, 53 pushes, 1 branch in 10 months
difficultypythonrewarddynamicsprevious
McKaneAndrus/Lda2vec-Tensorflow
May 2019 - May 2019
Tensorflow 1.5 implementation of Chris Moody's Lda2vec, adapted from @meereeum
Contributions:9 commits, 8 pushes in 11 days
adapteddeep-learningmoodytensorflowtensorflow2
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