Curriculum Vitae

• Drive the development of Rank's data-science production environment in the Azure cloud including Rank's data-lake, an automated ML life-cycle, and data-science DevOps
• Develop and build Rank's universal recommendation engine
• Integrate various data-science outputs with Rank's personalisation strategies

• On-site and off-site personalisation strategies
• Recommendation models and collaborative filtering
• Customer lifetime value prediction and attribution models
• VIP and customer churn propensity models
• Big data and cloud adaptation strategies with Microsoft Azure
• Hive and Spark ETL, big data warehousing and ML
• Data architecture
• Azure Data Factory, Azure Cognitive APIs, HDInsight, Streaming Analytics

Project owner of Cnergy, a new big data warehouse service for smart meter data with a focus on collaborative data analsysis and research.

Developing predictive models for energy consumption of private households using smart meters. Reviewing and managing of team members and interns. Implementing an online platform to commercialise results called Eneberg and Enechange.

Presentation at the 9th European Conference on Mathematical and Theoretical Biology. Awarded the Springer Award for best talk. Topic: Insights from the Application of Temporal Difference Learning in Models of Foraging.

Analysis of energy consumption data of private households using smart meters and implementation of a web application to visualize results.

Consultancy and development in modelling and learning algorithms.

• Jun 2013 – Sep 2013: Modelling eating behaviour for a smartphone app providing dietary advice.

• contributing talk "The Application of Temporal Difference Learning in Optimal Diet Models"

• contributing talk "The Evolutionarily Dynamics of Aposematism: a Numerical Analysis of Co- Evolution in Finite Populations"
• poster presentation "The Application of Temporal Difference Learning in Optimal Diet Models"

Assistant to the Head of Department Prof. Anders Krogh

• microRNA prediction and annotation
• high-throughput sequence analysing
• overseeing the collaboration with an experimental group
• programming and software development (Python, Perl)

• preparing and holding weekly seminars in mathematics
• correcting and marking the weekly written exercises
• supervision of the written exams and their marking

• statistical analysis of promoter sequences of circadian genes

• telephone switchboard
• access control
• call cascade for standby staff
• managing bookings and billing of the hospital’s private accommodations for accompanying persons

• guided tours in German and English for groups up to 25 people
• promotion
• hospitality of VIP guest at special events

main subject:

Modelling the co-evolution of defence and signalling in biological populations with temporal difference learning.

Publications

The Application of Temporal Difference Learning in Optimal Diet Models, J. Teichmann et al., Journal of Theoretical Biology (2014), doi:10.1016/j.jtbi.2013.08.036
The Evolutionary Dynamics of Aposematism: a Numerical Analysis of Co-Evolution in Finite Populations, J. Teichmann et al., Mathematical Modelling of Natural Phenomena (2014), doi:10.1051/mmnp/20149310

voluntary engagement:

staff – research students liaison committee
research students liaison committee
learning spaces group: developing concepts for future learning space interior

projects:

evaluation of data pre-processing strategies in positron emission tomography
analysing deep sequencing data: the state of the art

postgraduate thesis:

Genes with microRNA seed sites within hairpin structures show correlation with PUM2 and are related to long-term gene repression.

main subject:

theoretical biology

undergraduate thesis:

Bioinformatic Analysis of Short Artificial DNA-Sequences.

voluntary engagement:

voluntary study project on the topic of "computer-based statistical evaluation"
course in mathematics for freshmen students
student representative in university commissions
member of the student’s representative body
tutorials introducing Linux, LATEX and the programming language R