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Arkadiusz Sitek

Director of Sano, President of the Management Board

Also serves as the 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.

  • 1998 Ph.D in Physics, University of British Columbia, Canada
  • 1994 M.Sc in Physics, University of Warsaw, Poland
  • 2018 – 2020 Senior Data Scientist, IBM Watson Health, Cambridge, MA
  • 2015 – 2018 Senior Scientist, Philips Research North America, Cambridge, MA
  • 2006 – 2015 Assistant Professor of Radiology, Harvard Medical School, Boston, MA
  • 2012 – 2015 Associate Physicist, Massachusetts General Hospital, Boston, MA
  • 2006 – 2012 Research Associate Brigham and Women’s Hospital, Boston, MA
  • 2004 – 2006 Staff Scientist, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA
  • 2001 – 2004 Imaging Scientist, Beth Israel Deaconess Medical Center, Boston, MA
  • 2001 – 2004 Instructor in Radiology, Harvard Medical School, Boston, MA
  • 2000 – 2001 Visiting Scientist, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA
  • 1998 – 2001 Postdoc/Research Associate, University of Utah, Salt Lake City, UT

Knowledge of the physics of medical imaging including radiography, CT, US, MRI, and nuclear imaging techniques (PET and SPECT), and applications of these imaging technologies in hospitals and clinical trials in the fields of neurology, oncology, and cardiology. Experience in applications of healthcare informatics in clinical settings.

Expertise with extensive publication record in medical image acquisition, inverse problems, tomographic image reconstruction, image analysis/modeling, image artifacts.

Extensive knowledge and experience in the application of machine learning (ML) models to several types of data ranging from data in computer vision, text processing, and feature based machine learning. Large scale applications of ML in the industry.

Expert in applied statistics (classical and Bayesian)

Author of more than 65 peer-reviewed publications in top medical imaging, clinical, engineering, and statistics journals and more than a hundred lectures, invited talks, conference talks, conference abstracts, conference proceedings, book chapters, books, and editorials. The author of the book “Computational statistics in nuclear imaging” published in 2014 by CRC Press/Taylor and Francis.

Inventor of 20 patents (granted, published, and filed) in medical image processing, clinical informatics, tomographic data reconstruction, and artificial intelligence in healthcare. Successful Innovator Award from the Technology and Ventures Office, Beth Israel Deaconess Medical Center award in 2012. Contributed to several technological solutions currently used in clinics around the world.

Presenter of invited lectures at the Harvard Medical School, John Hopkins Medical Center, Perelman School of Medicine, University of Pennsylvania, IBM and many others.

Member of advisory board (2017-) and named in the top 25 referees in 2013 and 2014 for the Physics in Medicine and Biology. Recognized by the Editor of Radiology in 2013, 2014, 2016, with special distinction in 2017-2020. Chaired scientific sessions at RSNA, IEEE Medical Imaging Conference, Society of Nuclear Medicine, Fully 3D image reconstruction meetings. Assistant to IEEE Medical Imaging Conference chair 2015 and 2017. Referee for many journals and conferences.


Dajda, Jacek; Idzik, Michał; Sroka, Jakub; Pawłowski, Mikołaj Sikora Wiktor; lka, Maciej Smo; Jabłecki, Przemysław; Ślazyk, Filip; Malawski, Maciej; Majerz, Emilia; Pasternak, Aleksandra; Dzwinel, Witold

Current Trends in Software Engineering Bachelor Theses Journal Article

In: Computing and Informatics, 2021.

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Bubak, M; Czechowicz, K; Gubała, T; Hose, D R; Kasztelnik, M; Malawski, M; Meizner, J; Nowakowski, P; Wood, S

The EurValve model execution environment Journal Article

In: Interface Focus, vol. 11, no. 1, pp. 20200006, 2021, ISSN: 2042-8898.

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Malawski, Maciej; Gajek, Adam; Zima, Adam; Balis, Bartosz; Figiela, Kamil

Serverless execution of scientific workflows: Experiments with HyperFlow, AWS Lambda and Google Cloud Functions Journal Article

In: Future Generation Computer Systems, vol. 110, pp. 502–514, 2020, ISSN: 0167739X.

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Malawski, Maciej; Rzadca, Krzysztof (Ed.)

Euro-Par 2020: Parallel Processing Book

Springer International Publishing, Cham, 2020, ISBN: 978-3-030-57674-5.

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Tomasiewicz, Dawid; Pawlik, Maciej; Malawski, Maciej; Rycerz, Katarzyna

Foundations for Workflow Application Scheduling on D-Wave System Inproceedings

In: Krzhizhanovskaya, Valeria V; Závodszky, Gábor; Lees, Michael H; Dongarra, Jack J; Sloot, Peter M A; Brissos, Sérgio; Teixeira, Joao (Ed.): Computational Science — ICCS 2020, pp. 516–530, Springer International Publishing, Cham, 2020, ISBN: 978-3-030-50433-5.

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Avati, Valentina; Blaszkiewicz, Milosz; Bocchi, Enrico; Canali, Luca; Castro, Diogo; Cervantes, Javier; Grzanka, Leszek; Guiraud, Enrico; Kaspar, Jan; Kothuri, Prasanth; Lamanna, Massimo; Malawski, Maciej; Mnich, Aleksandra; Moscicki, Jakub; Murali, Shravan; Piparo, Danilo; Tejedor, Enric

Declarative Big Data Analysis for High-Energy Physics: TOTEM Use Case Inproceedings

In: Yahyapour, Ramin (Ed.): Euro-Par 2019: Parallel Processing, pp. 241–255, Springer International Publishing, Cham, 2019, ISBN: 978-3-030-29400-7.

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Nowakowski, Piotr; Bubak, Marian; Bartyński, Tomasz; Gubała, Tomasz; Harceżlak, Daniel; Kasztelnik, Marek; Malawski, Maciej; Meizner, Jan

Cloud computing infrastructure for the VPH community Journal Article

In: Journal of Computational Science, vol. 24, pp. 169–179, 2018, ISSN: 18777503.

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Malawski, Maciej; Juve, Gideon; Deelman, Ewa; Nabrzyski, Jarek

Algorithms for cost-and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds Journal Article

In: Future Generation Computer Systems, vol. 48, pp. 1–18, 2015, ISSN: 0167739X.

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Malawski, Maciej; Figiela, Kamil; Nabrzyski, Jarek

Cost minimization for computational applications on hybrid cloud infrastructures Journal Article

In: Future Generation Comp. Syst., vol. 29, no. 7, pp. 1786–1794, 2013.

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Malawski, Maciej; Bartyński, Tomasz; Bubak, Marian

Invocation of operations from script-based Grid applications Journal Article

In: Future Gener. Comput. Syst., vol. 26, no. 1, pp. 138–146, 2010, ISSN: 0167-739X.

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