Use the science of tomorrow

Tomasz Golan, a Ph.D. holder in theoretical physics, has been working at NeuroSYS since 2017, focusing on computer vision and machine learning algorithms. With a background in particle physics, he has an extensive research history, including being a member of the T2K collaboration and receiving the 2016 Breakthrough Prize in Fundamental Physics. He has also contributed to the GENIE Neutrino Monte Carlo Generator and MINERvA collaboration, where he coordinated the Monte Carlo generators group and pioneered the use of machine learning for physics reconstruction. With over 50 scientific publications and presentations at international conferences, his expertise encompasses neutrino interactions, theoretical modeling, and automated validation systems.

Tomasz Cąkała is a backend software developer with several years of experience in developing IT solutions, ranging from the development of computationally-oriented software to complex enterprise applications. His work has been primarily targeted at creating systems that facilitate robust and fast deployment of AI applications. Tomasz graduated from the University of Warsaw (M.Sc. in Applied Mathematics and B.Sc. in Computer Science). During his stay at the university, he has participated in many research projects, some of which have been published in peer-reviewed journals (most notably Genome Biology and Journal of Computational and Graphical Statistics).

Daniel Popek is an experienced Machine Learning Engineer specializing in NLP, Computer Vision, Deep Learning, Social Media Analysis, and Voice Processing. With a background in both Data Science and Software Engineering, he has been applying deep learning algorithms to various tasks, training Computer Vision models, enhancing search engines, and designing data pipelines at NeuroSYS since August 2020. He holds a master's degree in Data Science and a Bachelor's degree in Computer Science from WUST, with a thesis focused on emotional style transfer of the human voice using deep generative models.

Jakub Jaszczuk is a double graduate of the Wroclaw University of Technology, holding degrees in computer science as an engineer and in applied computer science as a Master of Engineering. His master's thesis focused on COVID-19 epidemic modeling, comparing parameter estimation methods and evaluating Python language environments. He supports the team with programming tasks, including object tracking, environment mapping, human pose detection, and optimizing hardware solutions for efficient development.

Mikołaj Patalan is a master's graduate in Automation and Robotics from the Technical University of Denmark, specializing in computer vision applications for robotics. Notably, he won the first edition of the Shell Eco-marathon Autonomous Challenge and worked on comparing localization methods for mobile robotics during his studies. With a track record of success, his expertise extends to machine learning and classical methods in computer vision. As a valuable member of the NeuroSYS team since March 2020, he actively contributes to various computer vision projects, demonstrating skills in image detection, segmentation, object positioning, place recognition, tracking, pose estimation, and point cloud processing.

Paweł Mielniczuk is a highly skilled Machine Learning Researcher specializing in NLP and Computer Vision. With a master's degree in Data Science, he joined NeuroSYS in 2020, bringing a wealth of experience from the telecommunications and insurance industries. He excels in designing and implementing robust machine learning pipelines and application solutions from scratch, leveraging his expertise in Deep Learning and Python. His pragmatic problem-solving approach and passion for innovation drive him to find new and effective ways to apply Machine Learning techniques. With a deep understanding of NLP and Computer Vision, he is a valuable asset to any team he works with, consistently delivering cutting-edge solutions to complex problems.

Bartosz Lenar holds a Bachelor's degree in Applied Computer Science from the AGH University of Science and Technology, specializing in databases and software architectures, as well as a master's degree in Computer Science from the Wrocław University of Technology, specializing in IT system security and reliability. With a strong academic background, he has contributed to advanced solutions for processing financial and medical data throughout his career. At NeuroSYS, he has held roles as a Solutions Architect, developing AI-based solutions for medical research labs and the pharmaceutical industry, as well as working on a smart home IoT platform. Currently serving as the Engineering Lead, he successfully oversees a team of approximately 100 software engineers, coordinating operational and technical activities to achieve the company's technical objectives.