MACHINE VISION NLP TEAM JOBS CONTACT IMPRINT &
PRIVACY
DEUTSCH
ABOUT
We are scientists from the fields of machine learning, physics and mathematical statistics.
We are an interdisciplinary team of mathematicians, physicists and engineers. It is our mission to provide latest advances in artificial intelligence to businesses and public institutions across Europe.
Michael Borinsky
Michael Borinsky (PhD)
External Advisor
Intermediate:
#openCV, #tensorflow
Expert:
#C++, #python, #mathematical statistics, #scipy, #computer vision, #OpenGL
While studying physics at HU Berlin, Michael was already contributing to CERN’s Root data analysis framework. With his coding abilities and his mathematical skills obtained during his dissertation in quantum physics, he supports the machine learning team.
William Clemens
William Clemens
Intermediate:
#numerical optimization, #computer vision, #shell scripting, #R
Expert:
#cuda, #c++, #torch, #tensorflow, #deep learning, #python, #mathematical statistics
Will developed his mathematical and coding skills during his studies in theoretical physics at Warwick and Cambridge Universities. Before joining dida, he did his PhD in string theory and quantum chromodynamics at the University of Southampton. Currently, Will specializes in computer vision.
Lorenz Richter
Fabian Gringel
Intermediate:
#java, #python, #NLP
Expert:
#mathematical modelling, #optimization, #physical simulations
Due to his studies of mathematics and philosophy (HU Berlin, Uni Bochum) combined with his interest in foreign languages, Fabian is naturally attracted to projects in the field of computational linguistics. Before joining dida, Fabian dealt with physical simulations at Max Planck Institute for iron research and at TU Berlin.
Max Glass
Max Glass
Intermediate:
#javascript, #jquery #php, #electron
Expert:
#html, #sass/scss, #css, #UI, #UX
Max makes sure that users are able to interact intuitively with our software products. As frontend developer/UX designer in one, he constantly strives to combine clean designs with uncompromising functionality.
Robert Heesen
Robert Heesen
Basic:
#python, #SQL
Robert is responsible for translating customer needs into software written by our Machine Learning experts. He is also responsible for Marketing and Sales. In the past ten years after his studies at HHL Leipzig and University of Maastricht, he led business units in various digital companies (e.g. Axel Springer).
Philipp Jackmuth
Philipp Jackmuth
Intermediate:
#numpy, #scipy, #sci-kit learn, #R
Expert:
#python, #SQL, #pandas, #data analysis, #regression models
Philipp advises our customers on which processes to automate. He make sure that the planned value-add of the projects materialize. Before founding dida, the statistician (TU Berlin) was part of the management team which grew Beko Käuferportal GmbH from a small startup to 300+ employees.
Lorenz Richter
Nelson Martins (PhD)
External Advisor
Intermediate:
#python, #pytorch, #reinforcement learning
Expert:
#computer vision, #image processing & segmentation, #openCV, #C++, #tensorflow
During his PhD in computer science at the University of Porto he co-authored various papers in the field of image processing. As an external consultant he is our go-to guy when it comes to pattern recognition in any kind of image data.
Mattes Mollenhauer
Mattes Mollenhauer
External Advisor
Intermediate:
#computer vision, #signal processing, #optimal control
Expert:
#python, #C++, #applied probability theory, #deep learning, #software engineering, #nonparametric models
After his studies of mathematics (FU Berlin), Mattes is currently pursuing his Phd doing research on machine learning models for time series problems in physics and signal processing. He has been involved in several large AI projects and is experienced in transforming recent research results and experimental solutions to production software.
Lorenz Richter
Lorenz Richter
Intermediate:
#R, #non-convex optimization, #computer vision
Expert:
#statistical learning theory, #deep learning, #python, #mathematical statistics, #julia, #tensorflow
With an original focus on stochastics and numerics (FU Berlin), the mathematician has been dealing with deep learning algorithms for some time now. Besides his interest in the theory, he has practically solved multiple data science problems in the last 5 years. Lorenz leads the machine learning team.
Tobias Sterbak
Tobias Sterbak
External Advisor
Intermediate:
#speech recognition, #devops, #natural language generation, #Docker, #Spark
Expert:
#python, #keras, #tensorflow, #natural language processing, #pytorch, #software architecture, #spacy, #nltk
After some years in the software industry, Tobias decided to go into consulting. He holds a degree in pure mathematics from HU Berlin. Tobias is experienced in deploying machine learning models into production and he advises us in all things concerning natural text data.
William Clemens
Frank Weilandt (PhD)
Intermediate:
#deep learning, #keras, NLP, #computer vision
Expert:
#python, #C++, #topological data analysis
After studying Mathematics at the University of Bonn, Frank used Python and C++ for data analysis in several research groups: For computer vision at a Fraunhofer Institute in Sankt Augustin, during his PhD studies about the numerical simulation of dynamical systems in Cracow, Poland, and as a Post-doc for topological data analysis in Bremen. Having taught programming in Polish, his next challenge is teaching computers to understand language.
dida Team
Team
Expert:
#Machine Vision, #Natural Language Processing, #Algorithms, #Optimization
Further support is provided by freelancers, phd’s and post-docs from the fields of mathematics, physics and computer science. This allows to cover a wide range of machine learning topics and to offer our clients state of the art software solutions.