Arkadiusz Sitek

DIRECTOR OF SANO, PRESIDENT OF THE MANAGEMENT BOARD, RESEARCH TEAM LEADER OF HEALTH INFORMATICS

Also serves as the head of the healthcare informatics research team. Previously employed at IBM and Philips Research in Cambridge. In 2006-2015, assistant professor at Harvard Medical School, and a medical physicist at the Brigham and Women’s and Massachusetts General Hospitals. In years 2001-2006 scientist in Lawrence Berkeley Labs in Berkeley and Beth Israel Medical Center in Boston. His professional interests are focused on the use of computing in medicine. He specializes in the application of statistical methods in healthcare, medical data visualization, medical physics, and machine learning.

Marian Bubak

Scientific Affairs Director

He obtained M.Sc. in Technical Physics and Ph.D. in Computer Science from the AGH University of Science and Technology, Krakow, Poland. He also leads the Laboratory of Information Methods in Medicine at ACC Cyfronet AGH, is a staff member of the Department of Computer Science AGH, and the Professor of Distributed System Engineering (emeritus) at the Informatics Institute University of Amsterdam. His research interests include parallel and distributed computing and quantum computing. He served key roles in about 15 EU-funded projects and authored about 230 papers. He is a member of editorial boards of FGCS, Bio-Algorithms and Med-Systems, and Computer Science Journal.

Maciej Malawski

RESEARCH TEAM LEADER OF EXTREME-SCALE DATA AND COMPUTING, ASSOCIATE PROFESSOR AT AGH AND SENIOR RESEARCHER

Holds a PhD in computer science and an MSc in computer science and physics. In 2011-2012 he was a postdoc at the University of Notre Dame, USA. Currently an associate professor at the Department of Computer Science AGH and a senior researcher at ACC Cyfronet AGH. His scientific interests at Sano include parallel and distributed computing, including distributed computing, data science, including large-scale data analysis, cloud technologies, resource management and scientific applications. He spends his free time on outdoor activities in the mountains near Kraków and around the world. His professional interests are focused on the use of computing in medicine. He specializes in the application of statistical methods in healthcare, medical data visualization, medical physics, and machine learning.

Alessandro Crimi

Research Team Leader of Computer Vision Data Science

He holds a Ph.D. in medical imaging from the University of Copenhagen and an MBA in international health management from the Swiss Tropical and Public Health Institute (University of Basel). He worked as a postdoctoral researcher in different countries including Italy, France and Switzerland, mostly on clinical neuroimaging projects about multiple sclerosis, Alzheimer's and Parkinson's disease and glioma. In the past, he also was a visiting lecturer at the African Institute for Mathematical Sciences in Ghana and South Africa, where he did several projects related to global health and prenatal care.

Jose Sousa

Research Team Leader - Personal Health Data Science

Dr. Jose Sousa, PhD, was the Manager of the Advanced Informatics Core Technology Unit in the Faculty of Medicine, Health and Life Sciences (FHMLS) at QUB. He obtained his PhD under Prof. Ricardo Machado (University of Minho, Portugal) and Prof. Jose Mendes (University of Aveiro, Portugal) supervision at University of Minho, Portugal on developing complex network models to study software usage alignment with the project requirements. Previously and during his PhD he worked as Information Systems Director at I3S, a research institution of University of Porto (i3.sup.pt) where he deployed and managed all the IT infrastructure as well as deploying and developing software to support management and research operations. He was a collaborator of HDRUK – Swansea/QUB substantial site as AI researcher and actively working with QUB Centre for Public Health as part of the QUB support to Northern Ireland Public Health response to pandemic where he has developed self-learning AI on publicly available and self-reporting data. He also has worked on genetic alignment modelling and on mining socio-technical systems.

Przemysław Korzeniowski

Senior Postdoctoral Researcher, Head of VR & Robotics

He obtained M.Sc. in Advanced Computing in 2010 and Ph.D. in Modelling and Simulation in 2016 from Imperial College London. His work and research at Modelling in Medicine and Surgery Research Group focused on the development and validation of virtual reality simulators. He gained practical experience in the industry at the R&D Department of Volkswagen Group, where he was a key team-member of a newly established Virtual Engineering Lab, the forefront of digital transformation of the whole company. His main research interest are virtual and augmented reality, real-time physically-based simulation, massively-parallel computing, haptic interfaces as well as aspects of software engineering and architecture of simulation software.

Aneta Lisowska

Senior Postdoc

Aneta obtained BSc in Computing and Cognitive Science from Dundee University and Eng.D from Herriot-Watt University. Formerly she worked at international corporations (Toshiba and Canon) and at an AI start-up where she developed machine-learning (ML) based solutions to healthcare problems utilizing information from text, imaging and vital signs. Currently she is the most passionate about leveraging ML for early disease diagnosis and digital behavior intervention. She is interested in using wearable sensors to detect health conditions and monitor patients’ wellbeing. In her free time, she travels, dances, hikes and pursues MBA at Edinburgh Business School.

Sylwia Malec

PhD Student

Sylwia holds a BSc from AGH University of Science and Technology. Her bachelor thesis focused on obtaining 3D-printed pelvis directly from a patient's CT scan. She gained practical experience as a software engineer and data scientist in the industry at Motorola Solutions, where she was focusing on Computer Vision solutions for public safety. She joined Sano Computer Vision Data Science Team and is currently working on multimodal medical imaging registration. Privately, she is a photomodel, traveler and yoga practitioner.

Luca Gherardini

PhD Student

Luca got a Master of Science in Computer Science from the University of Modena and Reggio Emilia, in Italy. He feeds a deep curiosity for many scientific fields, for which he decided to join Sano in a project on proteins diffusion in Alzheimer and Parkinson diseases. Luca is always focusing on self-development, meditation, and training sessions.

Michał Grzeszczyk

PhD Student

Michał is PhD student who joins Health Informatics team and will work on Machine learning estimation of pulmonary circulation abnormalities using phase contrast MR and echocardiography. He is a graduate of Computer Science studies at the Warsaw University of Technology and Technical University of Berlin (dual-degree). At Sano he'll be working on non-invasive pulmonary hypertension detection. He is passionate about utilizing of AI in various areas. After hours, he works with his friend on the mobile application Chefs' (https://play.google.com/store/apps/details?id=com.chefs_app.chefs) which is devoted to storing and sharing cooking recipes coming from multiple sources like images or websites. In his free time he loves playing football and discovering new sport disciplines.

Magdalena Otta

PhD Student

Her scientific journey started in Scotland, at the University of Edinburgh where she graduated from in 2021 with a Master of Physics degree. The subject of her thesis was modelling a response of a single cell to the use of fractionated radiotherapy in order to induce the abscopal effect in cancer treatment. She joined Sano Modelling and Simulation Team as a PhD student and is currently working on modelling venous flow in patients presenting with deep vein thrombosis of the lower limb.

Szymon Płotka

PhD Student

He obtained M.Sc. in Medical Informatics in 2019 from Warsaw University of Technology. Currently pursuing his PhD in the medical image analysis at Sano Centre and Warsaw University of Technology. His main research interests are computer vision, machine learning and deep learning-based fetal ultrasound imaging and image-guided therapy.

Aleksandra Pestka

MSc Student

Aleksandra is pursuing MSc degree in Data Science at AGH. Her bachelor thesis was related to predicting epileptic seizures using neural networks. In Sano she is a member of Computer Vision Data Science team. Currently doing research on the application of statistical and machine learning models in neuroscience as his master's thesis project. Privately, she is all about getting away from the city, trekking in the mountains, learning rock climbing and nature travelling (especially delighted with Scandinavia).

Filip Ślazyk

MSC Student, Junior Scientific Programmer

Holds BSc in Computer Science obtained at AGH UST in 2021, currently doing MSc degree in Data Science at the same university. His bachelor thesis was related to applying machine learning techniques in the medical context. Interested in machine learning, deep learning, cloud computing. Currently doing research on the applications of federated learning in the healthcare as his master's thesis project. Has experience gained at the key players in the industry. Loves to spend his free time running, hiking, or playing squash.

Arkadiusz Pajor

MSc Student

Arkadiusz holds BE in Information and Communication Technology (ICT) from AGH University of Science and Technology and currently is pursuing MSc degree in Data Science there. He was leading scientific club "Telephoners" for two years. On the on hand he is passionate of Software Engineering, good practices, design patterns and modern software architecture. On the other hand he is a big fan of automating things using Artificial Intelligence. Currently he is doing reasarch on Interpretable Machine Learning (IML) models in order to build medical decision support system. His free time he spend on traveling, reading fantasy and sci-fi books, playing games and taking part in hackathons.

Tomasz Gubała

Scientific Programmers Manager and a Co-founder of Sano

Having an extensive track record in providing computational and IT solutions for researchers, Tomasz will lead the scientific programming and data analytics effort at Sano. He also possesses experience with establishing and working at his own company, and brings his entrepreneurial approach to the Centre. His official title is Capataz de Cargadores.

Piotr Nowakowski

Senior Data Manager and Research Programmer

Involved in the preparation of the Sano project since its inception, and currently assisting in the preparation of Sano’s internal documents and regulations (including English translations of the relevant documentation). Has participated in numerous collaborative research projects, both national and European, performing development work on collaborative research environments and distributed data storage systems. Also works as a translator, with several dozen published book translations under his belt.

Tadeusz Satława

Scientific programmer

Graduated in 2012 from Applied Computer Science at AGH with BSc and MSc theses related to ECG signal processing. He also has a BSc from Biomedical Engineering at AGH and did an internship as a teaching assistant at the University. He gathered experience as a software engineer and data scientist in several companies. Privately loves reading books, running and cross stitching.

Szymon Seliga

Senior Scientific Programmer

Coming from a family with generations of experience in Medicine and Science, he has embarked on a journey which combines the two of worlds – Computational Medicine. Starting in IT at an early age, some 20+ years ago, has brought him on the different edges of the industry, allowing him to gain experience and insight both in opposing organisational cultures (agile start-up, high-functioning enterprises and self-organising ventures) around the world as well as in various software and hardware stacks. The only thing he likes more than a good challenge, are helpful solutions.

Marcin Wierzbiński

Scientific Programmer

Graduated bachelor's degree in 2020 from Faculty of Mathematics, Informatics and Mechanics, University of Warsaw (MIMUW) with related bachelor's thesis: "Solving SAT problems using quantum algorithms". He gathered experience as a software engineer and research associate intern at the Polish Academy of Science. Currently, in his final year of mathematics with a specialization in Machine Learning at MIMUW. His master's thesis is on "Probabilistic inference of cell type topography in tumour microenvironment". During his graduate studies, he spent a semester at the University of Oslo. In love with the mountains (most recently Lofoten) and physical activity.