Interactive Resume
I’m a computer scientist with 8 years of academic and commercial experience in the areas of artificial intelligence and machine learning. My academic output primarily deals with the evolutionary optimization of neural networks to understand cognitive functions. Outside of academia I spent more than 4 years developing and managing the development of commercial AI software at NaturalMotion (a provider of middleware solutions to some of the world’s biggest computer game studios, such as Rockstar and Lucasarts). I’m now looking to apply my skills and experience in the field of data science and big data. I’ve worked on both back-end (SQL, NoSql such as MongoDB or Neo4j, Hadoop, Flume, Hive, etc.) and front-end (javascript and R/shiny-based data visualizations and python web apps). I’m comfortable programming in C++, Python, R or javascript and regular use R and scikit-learn for machine learning projects (see this blog for non-academic samples).
Find a printer-friendly pdf resume here.
Experience
For a full resume also see my LinkedIn account.
Education
Publications
A list of my publications. For the data used in this graph I’ve written a little python robot to scrape articles and citations off of google scholar. The source code is available on github along with the rest of this blog.
All publications
As found on google scholar. Number of citations in brackets.
- [59] H Frenz, M Lappe, M Kolesnik, T Bührmann (2007). Estimation of travel distance from visual motion in virtual environments. ACM Transactions on Applied Perception (TAP) 4 (1), 3.
- [57] T Buhrmann, E Di Paolo, X Barandiaran (2013). A dynamical systems account of sensorimotor contingencies. Front. Psychol. 4 (285).
- [25] E Izquierdo, T Bührmann (2008). Analysis of a Dynamical Recurrent Neural Network Evolved for Two Qualitatively Different Tasks: Walking and Chemotaxis.. ALIFE, 257-264.
- [19] EA Di Paolo, XE Barandiaran, M Beaton, T Buhrmann (2014). Learning to perceive in the sensorimotor approach: Piaget’s theory of equilibration interpreted dynamically. Frontiers in human neuroscience 8, 551.
- [12] T Buhrmann, E Di Paolo (2015). The sense of agency–a phenomenological consequence of enacting sensorimotor schemes. Phenomenology and the Cognitive Sciences, 1-30.
- [11] T Buhrmann, EA Di Paolo (2013). Spinal circuits can accommodate interaction torques during multijoint limb movements.. Frontiers in computational neuroscience 8, 144-144.
- [10] T Buehrmann, ED Paolo (2004). Closing the loop: Evolving a model-free visually-guided robot arm. Proceedings of the Ninth International Conference on the Simulation and ....
- [7] T Buhrmann, E Di Paolo (2014). Non-representational sensorimotor knowledge. International Conference on Simulation of Adaptive Behavior, 21-31.
- [7] M Lappe, H Frenz, T Bührmann, M Kolesnik (2005). Virtual odometry from visual flow. Electronic Imaging 2005, 493-502.
- [3] E Di Paolo, T Buhrmann, X Barandiaran (2017). Sensorimotor Life: An enactive proposal. Oxford University Press.
- [3] T Buehrmann, E Di Paolo (2006). Biological actuators are not just springs. International Conference on Simulation of Adaptive Behavior, 89-100.
- [0] T Buhrmann (2010). On the intrinsic control properties of muscle and relexes: exploring the interaction between neural and musculoskeletal dynamics in the framework of the equilbrium-point hypothesis. University of Sussex.
- [0] H Frenz, T Bührmann, M Kolesnik, M Lappe (2003). Optic-flow-based estimation of travel distance in virtual environment. Perception ECVP abstract 32, 0-0.
- [0] XE Barandiaran, MJS Beaton, T Buhrmann, EA Di Paolo (0). Extending Sensorimotor Contingencies to Cognition FP7-ICT-2009-6 Grant Agreement No. 270212. .