Team
New Science Lab is an interdisciplinary team combining competencies in artificial intelligence, modeling and simulation, marine engineering, and product development, together with experience in deep-tech commercialization.
Sławomir Dudek
Business Strategy, Commercialization & Fundraising
Entrepreneur and manager with over 25 years of experience building, developing, and restructuring businesses at the intersection of technology, e-commerce, healthcare, and services. Combines a technical background — applied mathematics and technical physics — with management experience gained at Gillette Poland, Pelion, KPMG Advisory, Delfarma, Cefarm Białystok, and clinika.pl. At HullGen, responsible for business strategy, commercialization, partnership development, and preparing the project for financing and deployment. Also works on the mathematical side of physics models of fluid-flow machinery.
Tomasz Pochylski
Business & Operations, R&D Project Manager
Entrepreneur and technology project operator. Co-founder and former CEO of Bitfold — a hardware deep-tech project in which he led a team of around thirty people and which raised over US$5 million in public funding and comparable private capital. Responsible for operational project management, including R&D work, the conceptual side of projects, execution structure, and the transition from prototype to a structured product.
Krzysztof Witek
Marine Industry, Product & Commercial Development
Engineer with experience in ocean technology, flow computations, design feasibility conditions, product development, deployment, and working with industrial partners. CEO of Raiton, where he develops projects related to hydrogen technologies, including autonomous watercraft. Responsible for the engineering aspects of projects and for relations with technology partners, research institutions, and investors. Also brings a practical perspective on the market and applications of the technologies developed by the company.
Prof. Zbisław Tabor, PhD, DSc
AI & Research Lead, Machine Learning Expert
Professor at AGH University of Science and Technology in Kraków. AI researcher and practitioner with experience developing algorithms for industrial and medical applications. Specializes in machine learning, deep learning, computer vision, and model interpretability. Combines research and deployment competencies. In New Science Lab projects, responsible for AI layer development, research direction, and technical coherence of the solution. Reviews neural network architectures that learn the error of physical models, methods for selecting training points, and approaches to determining confidence bounds for predictive models.
Michał Sikorski
AI Developer
AI and robotics engineer with experience building machine learning models and applying them in technical and robotic systems. Works with Python, TensorFlow, PyTorch, OpenCV, and ROS. In New Science Lab projects, responsible for developing the implementation and algorithmic layer of systems, supporting the transition from model concept to working prototype.
Maksym Prykhodko
ML Integration & Rules Engine
Developer focused on Python and ML system integration. Builds systems where strict engineering rules meet generative AI — with experience in time-series data processing, signal filtering, and backend data analysis using PyTorch and FastAPI. In the project, responsible for the software layer enforcing design standards in the hull model.
Konrad Jojczyk
Engineering & Physics-Aware AI Lead
Graduate of the Institute of Computer Science at the Faculty of FTIMS, Lodz University of Technology, and a finalist of the Physics Olympiad. He brings 18 years of experience in software engineering, people management (Line Management), and coordinating multiple teams as a Tech Lead. He specializes in operationalizing artificial intelligence across every stage of the product lifecycle — from research, planning, and documentation automation, through advanced testing, to direct integration of AI models within application architecture. An expert in adapting to rapidly evolving technological trends. He is responsible for coordinating research and technical work, as well as the selection and formalization of the physical laws used to describe the behavior of generated shapes.
Mateusz Wiśniewski
Mathematical Modelling & AI Data
Graduate in mathematical modelling and data analysis. Focused on machine learning and data engineering. He designs and develops models and neural networks supporting research problem-solving, combining an analytical approach with practical AI deployment. He works primarily in the Python ecosystem, using technologies such as PyTorch, TensorFlow, scikit-learn, and OpenCV for data processing, model development, and results analysis. He is responsible for mathematical modelling, data engineering, selection and formalization of physical laws, and development of components supporting the evaluation and optimization of generated geometries.
Working methods
In our research and development work we use semi-autonomous AI agents that operate under the direction and supervision of our engineers. This allows a small, highly specialized team to run more threads in parallel than a typical team of this size. Every result that goes on to further work passes through a human — the agent accelerates, it does not decide.