I am passionate about solving complex problems. One of the most sophisticated phenomena in nature is the relation between human body and mind, which I studied from both standpoints: the theoretical one – in cognitive science research, as well as practical and professional – in psychology and in the medicine. In order to utilize quantitative methods in my projects, I learner machine learning methodology, as well as object-oriented programming. Now I explore the possibilities of explaining human physiology and psychology with artificial intelligence approaches and advanced data analysis.
Nogal, P., Buchwald, M., Staśkiewicz, M., Kupiński, S., Pukacki, J., Mazurek, C., Jackowska, J. & Wierzbicka, M. (2022). Endoluminal larynx anatomy model – towards facilitating deep learning and defining standards for medical images evaluation with artificial intelligence algorithms. Polish Otolaryngology Journal, 76(5). 1-9. doi: 10.5604/01.3001.0015.9501
Behnke, M., Buchwald, M., Bykowski, A., Kupiński, S., & Kaczmarek, L. D. (2022). Psychophysiology of positive and negative emotions, dataset of 1157 cases and 8 biosignals. Scientific Data, 9(1), 1-15. doi: 10.1038/s41597-021-01117-0
Buchwald, M. (2021). Functional Magnetic Resonance Imaging Signal Modelling and Contrasts: an Example of Manual Praxis Tasks. Computational Methods in Science and Technology, 27(4), 159-167. doi: 10.12921/cmst.2021.0000033 [Project at GitHub]
Kroliczak, G., Buchwald, M., Kleka, P., Klichowski, M., Potok, W., Nowik, A.M., Randerath, J., Piper, B.J. (2021). Manual praxis and language-production networks, and their links to handedness. Cortex, 140, 110-127. doi: 10.1016/j.cortex.2021.03.022 [Project at Open Science Foundation][Python Jupyter Notebook]
Buchwald, M., Przybylski, L., Kroliczak, G. (2018). Decoding Brain States for Planning Functional Grasps of Tools: A Functional Magnetic Resonance Imaging Multivoxel Pattern Analysis Study. Journal of the International Neuropsychological Society. 24, 1013-1025. doi: 10.1017/S1355617718000590
Jukiewicz, M., Buchwald, M., & Cysewska-Sobusiak, A. (2018). Finding Optimal Frequency and Spatial Filters Accompanying Blind Signal Separation of EEG Data for SSVEP-based BCI. International Journal of Electronics and Telecommunications, 64. doi: 10.24425/123543 [PDF]
Buchwald, M., & Jukiewicz, M. (2017). Project and evaluation EMG/EOG human-computer interface. Przegląd Elektrotechniczny (Electrotechnical Review), 93, 128-131. doi: 10.15199/48.2017.07.28 [PDF][Project at GitHub]
[Biomedical Data Scientist] ECBiG-MOSAIC – European Center for Bioinformatics and Genomics — Multiomics clinical research platform (infrastructure) (2021–present). [Project’s web page]. Funding: European Funds, Polish Governmental Programme & Partner’s funds, in total: 250M PLN (~$60M).
[Research specialist] PosEmo – An automatic tool for estimating person’s engagement and emotional valence based on camera video (March 2022–present). [posemo.io]. Funding: Polish National Research and Development Center grant TANGO-5-A/0051/2021: 247.5K PLN (~$50k) [ranking list].
[MA/PhD student] Manual Skills, Handedness and the Organization of Language in the Brain: Interrelations between the Planning of Tool Use, Gestures and Concepts (2015–2017). [OSF project][Jupyter IPython Notebook][Python module at GitLab]. Funding: National Science Center in Poland grant Maestro 2011/02/A/HS6/00174 awarded to G. Kroliczak, Adam Mickiewicz University in Poznań: 3M PLN (~$820K).
[Data management, Co-lead] POPANE DATASET – Psychophysiology Of Positive And Negative Emotions (2020–2022). Lead: Maciej Behnke, Adam Mickiewicz University in Poznań. [Sci. Data publication ][OSF project]
[Data analysis, Web & Mobile apps development] PELOSHA: Personalizable services for supporting healthy aging (2018–2022). Funding: EU Commission Program AAL, Poznań Supercomputing and Networking Center: 3.08M € (~$3.77M).
Certificates and awards
Buchwald, M. (2022). The human face of technology: empowering psychology with AI (in Polish). Impact’22. https://www.youtube.com/watch?v=cu22vD9KXho
Buchwald, M., Nowik, A., Króliczak, G. (2019). What planning interactions with tools can tell us about bimanuality: an fMRI study. Poster presented at the 14th International Congress of the Polish Neuroscience Society, Katowice.
Buchwald, M., Kupiński, S., Bykowski, A., Marcinkowska, J., Ratajczyk, D., & Jukiewicz, M. (2019). Electrodermal activity as a measure of cognitive load: a methodological approach. Presentation at 2019 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) (pp. 175-179). doi: 10.23919/SPA.2019.8936745
Jukiewicz, M., Buchwald, M., & Czyż, A. (2019). Optimizing SSVEP-based brain-computer interface with CCA and Genetic Algorithms. Presentation at 2019 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) (pp. 164-168). doi: 10.23919/SPA.2019.8936758
Buchwald, M. (2018). Analyzing functional magnetic resonance (fMRI) data with machine learning algorithms. PyConPl’18. https://www.youtube.com/watch?v=2gKEWv8kpbo
Buchwald, M., Przybylski, Ł. & Króliczak, G. (2016). Planning functionalgrasps of tools vs. Non-tools: decoding conditions from brain activity. Poster presented at 22nd Annual Meeting of the Organization for Human Brain Mapping, Geneva, Swizz Confederation.