Our team members regularly contribute to various scientific papers. See a list here.

Intermediate

Pytorch, Keras, Reinforcement Learning, Functional ProgrammingExpert

Python, Deep Learning, Derived Algebraic Geometry, Analytical Problem SolvingAfter his studies of mathematics with a minor in theoretical physics at the Goethe University of Frankfurt Rustam honed his analytical problem solving skills completing a PhD at the University of Texas at Austin where he did research in derived algebraic geometry. Looking for new challenges in the real-world he turned to machine learning. At dida he now specializes in deep learning and in particular computer vision.

Intermediate

Python, R, NLP, Computer VisionExpert

Angular, Javascript, NosqlSince his Master studies in business administration at HU Berlin, David’s focus has always been on working with technological products and services. Typically, on the interface of development and management, before joining dida, he gained experiences as a data scientist, frontend developer and co-founder of deep choice. Now he is supporting the dida machine learning team in gaining visibility and obtaining exciting projects.

Intermediate

C++, Javascript, Computer VisionExpert

Product Development, Business ModelsAxel is a skilled product professional who excels in developing and launching innovative software solutions to solve complex business problems. With extensive experience in both product management and business development, he has a proven track record of leading cross-functional teams and driving growth for B2B SaaS companies. He holds a Master’s degree in Digital Media Technology from TU Ilmenau, providing him with a well-rounded understanding of both the technical and business aspects of product development.

Intermediate

Opencv, TensorflowExpert

C++, Python, Mathematical Statistics, Scipy, Opengl, Computer VisionWhile 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.

Intermediate

Computer Vision, Robot Learning, Probabilistic InferenceExpert

Python, Pytorch, NumpyWhile working in a research lab for neurocognitive psychology, Cornelius discovered his passion for mathematics and computer programming. After graduating in psychology, Cornelius thus decided to deepen his knowledge in these areas by studying computer science in Berlin and London. During this time, his interests gradually turned to machine learning and robotics, leading up to an award-winning thesis.

At dida, Cornelius enjoys making use of his mathematical and algorithmic skills to support the team in computer vision and representation learning tasks.

Intermediate

Tensorflow, Numpy, Scipy, Scikit LearnExpert

Python, Pandas, EconometricsFelix has a background in Economics and Finance and is currently working towards his PhD in the field. Over the course of his studies, he developed a strong interest in machine learning, which led him to deepen his data science and programming skills. Prior to joining dida, he has already collected practical insights into management consulting and quantitative finance.

Intermediate

Computer Vision, Optimization, TensorflowExpert

Mathematical Modelling, Python, Deep Learning, PytorchMark has a background in mathematics and physics, completing his PhD in String Theory and higher-dimensional black holes (Australian National University, Canberra). During postdocs in the Czech Republic (Charles University, Prague) and Germany (Max Planck Institute, Konstanz), he developed an interest in, and experience with, neural networks and machine learning. At dida he works as a Machine Learning Scientist, bridging the gap between theoretical and practical.

Intermediate

Numerical Optimization, Computer Vision, Shell Scripting, RExpert

Cuda, C++, Torch, Tensorflow, Deep Learning, Python, Mathematical StatisticsWill 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.

Intermediate

C++, C++, Linux, MATLAB, Java, Deep Learning Theory, CudaExpert

Python, Monte Carlo Simulation, Time Series AnalysisWhile studying theoretical physics at the Humboldt University of Berlin, Fabian specializes in numerical simulation and machine learning tools, as well as their applicability for quantitative physics problems. As a scientific assistant at the Max-Planck Institute of Light, he has gathered experience in applying these techniques to simulation data of a quantum optical hardware setup. Being particularly interested in mathematical insight and explainability, at dida he supports the machine learning team.

Intermediate

Python, C++Expert

Communication, Sales, Digital GovernanceAfter graduating in Administration and Law with stays at Harvard and Brown, João decided to focus on Digitalization and Big Data in an Executive Master at the Hertie School of Governance. With his experience in investment attraction and his excellent communication and negotiation skills, he helps dida achieve its market and sales goals.

Acting as the point of contact among executives, employees, clients and other external partners, Astrid is responsible for managing the information flow at dida. After some years as an Executive Assistant in the software sector she’s supporting us with her experienced organizational and accounting skills.

Intermediate

Java, Python, NLPExpert

Mathematical Modeling, Optimization, Physical SimulationsDue 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.

Intermediate

Numpy, Scipy, RExpert

Python, SQL, Pandas, Data Analysis, Regression ModelsPhilipp advises our customers on which processes to automate. He makes sure that the value-add of the project materializes as planned. 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.

Intermediate

R, Pytorch, Numpy, StochasticsExpert

Python, MATLABDuring her study of maths and computer science at Saarbrücken, Yan Yan discovered her interests in machine learning and stochastics. Fascinated by the rigorous beauty of maths and intrigued by the hidden patterns behind phenomena, she finds machine learning a field where her passion is realized. At dida, she supports the machine learning team in computer vision tasks.

Intermediate

Python, Deep LearningExpert

Mathematical Statistics, Mathematical Modelling, High Dimensional Statistics and Probability TheoryBenedikt discovered his interest in statistics while studying industrial engineering at TU Berlin. To get a more theoretical understanding he studied statistics at HU Berlin afterwards, with a focus on mathematical statistics and probability theory. He joined dida as an intern to support the machine learning team in NLP tasks. This gives him a chance to combine his interests both in theory and application.

Intermediate

Python, Deep Learning, C#Expert

Number Theory, Analytical Problem Solving, C++After receiving his PhD from University Paris VI, Ma Li worked for several years as a number theorist at Bielefeld University. He gradually turned his interest to areas with more real-world applications and is now pursuing a career in Deep Learning.

Intermediate

Julia, Pandas, Tensorflow, KerasExpert

Python, Pytorch, Deep Learning, Inverse Problems, Image ProcessingDuring his studies in mathematics (TU Berlin) Jan focussed on applied topics in optimization, functional analysis, and image processing. His doctoral studies (TU Berlin) explored the interplay between theoretical and empirical research on neural networks. This resulted in his PhD thesis investigating the reliability of deep learning for imaging and computer vision tasks in terms of interpretability, robustness, and accuracy. At dida he works as a Machine Learning Researcher at the interface of scientific research and software development.

After working for several years at Scientific Publishing Houses (Springer Verlag, de Gruyter, here: Purchase, Production, Online Producing), Kirsten worked in the accounting and tax department for 11 years. A main interest of hers is the automation of accounting processes, where she can rely on her experiences as an application developer (Electronic Publishing). She sees accounting as data processing out of multiple sources rather than as the result of multiple single steps.

Intermediate

Tensorflow, C++, C++, Java, RExpert

Python, Pytorch, Numpy, Pandas, LinuxDuring his studies in mathematics and computer science [FU Berlin], Lorenzo found his passion for machine learning and statistics. He is experienced in image recognition, regression problems and in working with time series data. His dev-ops skills earn him regular praise by his collegues.

Intermediate

Computer Vision, Signal Processing, Optimal ControlExpert

Python, C++, Applied Probability Theory, Deep Learning, Software Engineering, Nonparametric ModelsMattes obtained his PhD in mathematics at FU Berlin, where he performed research in high-dimensional statistics and machine learning. He has transformed experimental solutions to production software in a variety of applied fields including aerospace engineering, remote sensing and image analysis.

Intermediate

PytorchExpert

Python, C++Iaroslava is a computer science student at TU Berlin with a keen interest in machine learning, particularly in the field of natural language processing. Alongside her studies, she supports the machine learning team at dida.

Intermediate

C++, C++, Python, Fortran, KerasExpert

Nonequilibrium Physics, Asymptotic Methods, Perturbation TheoryDuring his studies in physics (HU Berlin) Marty investigated optimization and inverse problems, utilizing Python and Fortran. In his PhD thesis (Max Born institute) he focussed on fluctuation-induced phenomena, where he investigated the interplay of classical and quantum statistics. During this time he gained experience in code development and design in C and C++ and developed interest in Machine Learning. After his PhD he focussed on Deep Learning and Image Recognition.

Intermediate

Python, Javascript (next, React)As a Business Informatics student at HWR Berlin with a passion for the digital world, Serdar has gained extensive experience in digital marketing, particularly in search engine optimization (SEO). He has applied his skills and knowledge to improve the online visibility of various websites already. Additionally, Serdar has hands-on experience in web development using Next.js, a popular React-based framework for building scalable web applications.

Intermediate

Pytorch, NLP, Computer Vision, MatplotlibExpert

Tensorflow, Python, Numpy, Pandas, Functional AnalysisDuring his studies of mathematics (HU Berlin) with a focus on differential geometry and functional analysis, Long developed his passion for programming. In his Master thesis he focused on Image Processing, where he investigated the existence of a solution for a minimization problem. In the process, he discovered his interest in machine learning.

Intermediate

Coq/agda, Topological Data AnalysisExpert

Python, NLP, Topology, LogicPier studied mathematics in Bologna and Bonn and graduated with a thesis in homotopy theory. His interest in philosophy of language as well as topological data analysis (TDA) led him to investigate the mathematical foundations of machine learning and interesting applications of TDA to NLP. Besides working at dida, he is pursuing a second master’s degree in Cognitive Systems in Potsdam.

Intermediate

Deep Learning, Tensorflow, Keras, SQLExpert

Python, MATLABDuring his studies of physics (FU Berlin) Emil developed his passion for machine learning, biophysics, and medical engineering. He worked as a software developer for an MRI research group, where he could apply his skills in deep learning to medical breathing scans. At dida he supports the Sales team in technical questions and in the acquisition of new ML projects.

Intermediate

R, Non Convex Optimization, Computer VisionExpert

Statistical Learning Theory, Deep Learning, Python, Mathematical Statistics, Julia, TensorflowWith 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 10 years. Lorenz leads the machine learning team.

Intermediate

PysparkExpert

Python, Pandas, Numpy, Statistical Data AnalysisAfter finishing a bachelor degree in mathematics at the University of Porto, Tiago worked on various data science related optimization and automation tasks for a renowned Portuguese manufacturing company.

This experience led him to pursue a master’s in data science at the University of Potsdam. At dida Tiago currently spends most of his time optimizing algorithms for pattern recognition in image data.

Intermediate

Pytorch, Julia, Numerical OptimizationExpert

High Dimensional Statistics and Probability Theory, Nonlinear Optimization, PythonDuring his studies of mathematics at the HU Berlin, Till developed an affinity for statistical and optimization problems. The attraction for him lies in understanding and discovering the mathematical theory on the one hand, and in bringing the problem in a computer-readable form, on the other. Through his one and a half years of work at the WIAS Berlin, he was able to deepen both his programming skills and his scientific approach.

Intermediate

Pytorch, NLP, HaskellExpert

Python, Computer Vision, Theoretical Physics, Quantum Information TheoryJakob studied Theoretical Physics (Uni Heidelberg) and worked on the intersection of quantum information theory and thermodynamics. He then discovered his enjoyment of programming and his interest in machine learning. At dida, he works in computer vision and with time series data from production processes.

Intermediate

NLP, Computer Vision, Optimization, TensorflowExpert

Probability Theory, Python, Deep Learning, PytorchKonrad cultivated his mathematical modeling skills while studying at HU Berlin. A graduate scholarship from Berlin Mathematical School led him to investigate the mathematical foundations of quantum fields. After transitioning from the quantum to the classical world, his interests have shifted to the analysis of probabilistic models and deep neural networks.

Intermediate

Deep Learning, Software Engineering, Cloud PlatformsExpert

Python, Computer Vision, Tensorflow, Explainable AIAnton is fascinated by the breakthroughs of Representation Learning and is passionate about driving AI innovation for common good. Having a broad profile, Anton has interest in latest research, recognizes the importance of building robust Machine Learning systems and keeps an eye on business requirements.

Intermediate

PythonExpert

UI, UX, Javascript, Vue.jsIlia has a background in physics and additional profound knowledge in data analysis and web development. At dida, he is responsible for the front-end infrastructure of our software products. Following key principles of frontend development such as responsive and intuitive design, accessibility, and high performance, he strives to create an ideal user experience.

Intermediate

Speech Recognition, Devops, Natural Language Generation, Docker, SparkExpert

Python, Keras, Tensorflow, NLP, Pytorch, Software Architecture, Spacy, NltkAfter 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.

Intermediate

Tensorflow, Clojure, Java, Statistical Learning, Computer Vision, NLPExpert

Python, Numpy, Geometry and Topology, Category TheoryAugusto studied computer engineering in Brazil and holds a PhD in mathematics (University of Notre Dame, USA). Before joining dida, he was a postdoc in Bonn and Greifswald, doing research in the field of algebraic topology and its application as a foundation of quantum field theory.

Intermediate

Python, Pytorch, Fast.ai, Computer VisionExpert

Airbus A320, Flight OperationsUsually working as an airline pilot, Johannes is currently pursuing a second career in data science. As a Machine Learning Consultant at dida he specializes in remote sensing projects. He helps to identify our customers’ needs and to develop suitable technical solutions.

Intermediate

Python, Machine LearningExpert

Linguistics, NLPEdit has an academic background in linguistics and her interest in combining it with technology has led her to pursue a second master’s degree in Cognitive Systems at the University of Potsdam. At dida, she supports the natural language processing team, especially in the area of data processing.

Intermediate

Java, C++, C++, Pytorch, Matplotlib, Software Engineering, Machine Learning, Deep Learning, Computer VisionExpert

Python, Tensorflow, Keras, NLP, Pandas, Scikit Learn, LatexSebastian studied and received his PhD in mathematics at RWTH Aachen University, specializing in abstract homotopy theory. As a lecturer, he held lectures and tutorials at TU Dortmund, at C.v.O. University of Oldenburg as well as at his alma mater, in particular for computer science students. Since his school days, he has also had a passion for languages. From these experiences and interests Sebastian developed strong competencies in Computer Science, Machine Learning and NLP, which he uses to support dida’s machine learning team.

Intermediate

Java, NLP, Computer Vision, Reinforcement LearningExpert

Python, ABAP, Tensorflow, Complex Dynamical SystemsAfter his studies (LMU München) and PhD (HU Berlin) in theoretical physics, Petar worked for several years as an IT consultant with projects at different DAX companies. In the last years he developed his passion for machine learning and specialized in this field. Petar is supporting the machine learning team as a developer and project manager.

Intermediate

Software Architecture, Scipy, SQLExpert

Python, Java, Numpy, Pandas, Solid State PhysicsAfter his studies in physics (FU Berlin, UPMC and ENS Paris), Max obtained his PhD in theoretical quantum and solid state physics (FU Berlin). His knowledge in scientific programming has been complemented by experience in software architecture and development through his work in the software industry. At dida he works as a Machine Learning Scientist at the interface of science and software development.

As a graduate in business administration, Iris has many years of professional and management experience in the field of human resources. She has worked in large and medium-sized companies and is responsible for recruiting and organizational development at dida. In addition, she has been working as a business coach for more than ten years and supports dida in individual topics.

Intermediate

Pytorch, Computer Vision, Pandas, C++, NLPExpert

Python, Tensorflow, Numpy, Scipy, Semantic Segmentation, OOPDuring his studies in physics (TU Dresden, Heidelberg University) Jona was able to acquire skills in imaging, numerical methods, and machine learning. He worked on optimisation methods at the German Cancer Research Center and did research on the explainability of Deep Learning models at Heidelberg University. Before his time at dida, Jona worked at a global IT consultancy and led the development of a Deep Learning product for radiology.