With the goals of quantifying the road-network coverage in OpenStreetMaps and improving it, convolutional neural networks (CNNs) were trained to identify roads in aerial imagery. A python package was coded on top of Keras/Tensorflow, integrating the communication with mapping services, image pre-processing, training and validation of CNNs, as well as predictions on trained models.

Analytic data, logged to local disk in the VMs of backend services, was read with Filebeat and streamed to Logstash, where each JSON was validated by a custom plugin. Clean data was then passed on to Kafka, where Spark (structured streaming) was used to enrich it with geo-spatial information in real time. Finally, Yandex Clickhouse served as a data-lake with Apache Superset providing self-service access.

With POI data stored in Elasticsearch, the aim was to improve the ranking of location search results displayed in mobile clients by machine-learning from customer app-usage. A python package was coded from scratch to explore and define features, to handle communication with Elasticsearch and its RankLib plugin, to upload trained models and search templates, and to graphically/statistically compare models.

To visualize and query discrete events as supply and demand that varies smoothly and continuously as a function of space and time, a computationally efficient algorithm for density estimation based on orthogonal polynomials was formulated and implemented in python, using process-based parallelization.

Consulting a major ride-hailing venture on data science and data infrastructure

Design, implementation, deployment, tuning, and maintenance of lambda-architecture data platform

Real-time streaming data enrichment with geo-spatial information

Convolutional neural networks for road-network extraction from aerial imagery

Interactive framework for machine-learned ranking POI full-text search results

Highly parallel orthogonal-polynomial density estimation for real-time supply/demand analytics

Hiring and recruitment

Principal investigtor in research projects on computational materials modeling

Scientific computing on own HPC resources

Budget responsability for independently raised third-party funding (ca. € 1 Mio.)

Personnel responsability and supervision of doctoral theses

Consulting industrial partners

Managerial duties (collaborative research center, hiring committees)

Lectures at the Department of Physics (amongst others, on Computational Physics)

Design of elementary building blocks for molecular electronics

Code development (fortran) and optimization (blas/lapack)

Functionalization and optimization of materials and interfaces for organic solar cells

Organization and scripting of multi-tiered copmuter-simulation processes

Solving mixture models on spectral data from laboratory experiments

Prototyping quantum-mechanical models in python

Quantum-chemical simulations of molecular semiconductors

Eigenmode analysis of molecular vibrations in Mathematica

Numerical solution of non-linear differential equations

Data retrieval with sliding-window Fourier transformation

Regression analysis of X-ray diffraction patterns

PhD thesis: Structure and Optical Response of Conjugated Molecules

graduation with honors

MSc thesis: High Pressure Studies on the Structure and Optical Properties of Poly(para-Phenylene) Based Systems

graduation with honors

ERASMUS exchange in Grenoble, France

graduation with honors

Thomson-Reuters ISI h-factor: 33

some highlights

link Nature Communications, 6, 8560 (2015)

link Science Advances, 1, e1501127 (2015)

link Nature Communications, 5, 4171 (2014)

link Nature Chemistry, 5, 187 (2013)

link Nature Materials, 7, 362 (2008)

link ...

Physics student's representative body at Humboldt-Universität zu Berlin

Category fundamental science

State of Styria, Austria

European Commission

Austrian Science Foundation (FWF)

For scientific journals such as Nature Nanotechnolgy, Nature Communications, Physical Review Letters, or Advanced Materials

On conference such as Optical Probes, International Conference on Synthetic Metals, or PyData Berlin

For funding agencies, e.g., Deutsche Forschungsgemeinschaft (DFG) or Department of Energy (USA)

Special Issue 13 of Advanced Functional Materials, vol. 25 (2015)

Symposium O at the Spring Meeting of the European Materials Research Society (E-MRS) in Lille, France

Symposium J at the Spring Meeting of the European Materials Research Society (E-MRS) in Strasbourg, France

38 talks at international scientific conferences such as the ICSM, MRS, ECME among others in China, USA, Japan, Italy or Switzerland

20 invited guest lectures, among others at the University of Groningen (Netherlands) or the Weizmann Institute of Science (Israel)

link University of Missouri, Columbia (MO), USA

link University of Arizona, Tucson (MO), USA

link University of Wisconsin, Madison (WI), USA