Dominik Straub
Postdoctoral Researcher at University of Cambridge
Cambridge, England, United Kingdom
Summary
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Senior🎓
Top SchoolDominik Straub is a computational cognitive scientist and postdoctoral researcher at the University of Cambridge with nine years of experience studying perception and action. Trained at Technische Universität Darmstadt (BSc, MSc, PhD in Cognitive Science/Psychology in IT), he combines experimental design in virtual reality with rigorous data analysis in Python and Bayesian modeling approaches explored during a TU München internship. His work blends human-centred experiments and computational models to probe sensorimotor decision-making, and he brings hands-on expertise with Numpy, Pandas and Matplotlib for reproducible analyses. Based in Cambridge, he contributes to the Computational and Biological Learning Lab, bridging neuroscience-inspired theory and tractable algorithms—often surfacing practical insights that guide experiment design as well as model development.
9 years of coding experience
9 years of employment as a software developer
Technischen Universität Darmstadt
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (72)
inverse10
anova10
mcmc10
bayesian-inference10
sampling10
kalman-filter10
clustering-algorithm10
github-pages10
statistical-tests10
bayesian-statistics10
spherical-k-means10
state-space10
jekyll10
jekyll-theme10
pandas9
Programming languages (9)
Github contributions (5)
RothkopfLab/lqg
Aug 2021 - Dec 2022
Inverse optimal control for continuous psychophysics
Contributions:105 commits, 15 PRs, 121 pushes in 1 year 3 months
continuousoptimal-controlpsychophysicsoptimalinverse
RothkopfLab/inverse-optimal-control
May 2021 - Jul 2022
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
Contributions:24 commits, 23 pushes, 4 branches in 1 year 2 months
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