Personal profile
Research
My research specializes in spatial-temporal models, Bayesian statistics, and efficient computational methods within the field of statistics.
In addition, my research extends into image analysis, artificial intelligence, and quantifying high-resolution images from synchrotrons, contributing to the forefront of statistical science and technology.
Teaching
Alongside my academic research, I am responsible for two courses, Bayesian Methods and Data Visualization, bridging theoretical knowledge with practical skills.
Bayesian Methods (STAE02) is a course that focuses on Bayesian methods using RStan, covering both basic and advanced levels. The course is closely related to my own research.
The Data Visualization (STAE04) course is a fully online course designed for both students and industry professionals. It focuses on the fundamental principles of visualization for presentations and scientific publications.
I am also responsible for the Data Visualization (DABN19) course in the Data Analytics and Business Economics (DABE) master’s program. This course introduces students to the R environment and the fundamentals of data wrangling and visualization for scientific publications and presentations.
Subject classification (UKÄ)
- Probability Theory and Statistics
- Climate Science
- Environmental Sciences
- Mathematical Analysis
- Computational Mathematics
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 11 Sustainable Cities and Communities -
SDG 13 Climate Action -
SDG 14 Life Below Water -
SDG 15 Life on Land
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Collaborations the last five years
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Holocene land cover change in North America: Continental trends, regional drivers, and implications for vegetation-atmosphere feedbacks
Dawson, A., Williams, J. W., Gaillard-Lemdahl, M.-J., Goring, S. J., Pirzamanbein, B., Lindström, J., Anderson, R. S., Brunelle, A., Foster, D., Gajewski, K., Gavin, D. G., Lacourse, T., Minckley, T. A., Oswald, W., Shuman, B. & Whitlock, C., 2025 Nov 6, In: Climate of the Past. 21, 11, p. 2031-2060 30 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Morphological Insights From Benthic Foraminifera for Environmental Conditions in the Baltic Sea During the Last Interglacial
Ni, S., Muter, D., Charrieau , L., Pirzamanbein, B., Choquel, C., Knudsen, K. L., Seidenkrantz, M.-S. & Filipsson, H. L., 2025 Mar 22, In: Paleoceanography and Paleoclimatology. 40, 3, e2024PA005063.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep Learning for Resolving 3D Microstructural Changes in the Fibrotic Liver
Laprade, W. M., Pirzamanbein, B., Mokso, R., Nilsson, J., Dahl, V. A., Dahl, A. B., Holmberg, D. & Schmidt-Christensen, A., 2025 Feb 8, Applications of Medical Artificial Intelligence: Third International Workshop, AMAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Wu, S., Shabestari, B. & Xing, L. (eds.). Springer, p. 74-84 ( Lecture Notes in Computer Science ; vol. 15384).Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
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Holocene Land Cover Change in North America: Trends, Drivers, and Feedbacks
Dawson, A., Williams, J. W., Gaillard-Lemdahl, M. J., Goring, S., Pirzamanbein, B., Lindström, J., Anderson, R. S., Brunelle, A., Foster, D., Gajewski, K., Gavin, D. G., Lacourse, T., Minckley, T. A., Oswald, W., Shuman, B. & Whitelock, C., 2024 Dec 13.Research output: Contribution to conference › Abstract
Open Access -
Structure-function analysis of time-resolved immunological phases in metabolic dysfunction-associated fatty liver disease (MASH) comparing the NIF mouse model to human MASH
Schmidt-Christensen, A., Eriksson, G., Laprade, W. M., Pirzamanbein, B., Hörnberg, M., Linde, K., Nilsson, J., Skarsfeldt, M., Leeming, D. J., Mokso, R., Verezhak, M., Dahl, A., Dahl, V., Önnerhag, K., Oghazi, M. R., Mayans, S. & Holmberg, D., 2024 Oct 3, In: Scientific Reports. 14, 1, 23014 .Research output: Contribution to journal › Article › peer-review
Open Access
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MICROMORPH: From Microns to Models: Leveraging µCT and Machine Learning for High-Resolution Morphological Diversity Analysis (MICROMORPH)
Filipsson, H. (Researcher), Hansson, M. (CoPI), Sopasakis, A. (CoPI), Pirzamanbin, B. (CoPI), Larsson, E. (CoPI) & Cotton, L. (Researcher)
2026/01/01 → 2028/12/31
Project: Research
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POLLENOMICS: decoding the farming history of Scandinavia using advanced statistics to combine ancient DNA with paleo-pollen data
Elhaik, E. (PI), Pirzamanbin, B. (Researcher), Lindström, J. (Researcher) & Poska, A. (Researcher)
FORMAS, The Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning
2025/09/01 → 2030/08/31
Project: Research
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Environment and Climate (ECL) theme Working Group 1 Environmental Archives at LINXS
Pirzamanbin, B. (Researcher)
2024/01/01 → 2026/12/31
Project: Network
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Digital Transformation of Flood Prediction and Management in Trelleborg
Pirzamanbin, B. (Researcher) & Mobini, S. (Researcher)
Kompetensfonden Trelleborgs kommun
2024/09/01 → 2025/06/30
Project: Research
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LUSEM research proposal development funding
Pirzamanbin, B. (Researcher)
2024/08/15 → 2024/12/31
Project: Research
Activities
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POLLENOMICS: Decoding the Farming History of Europe Using Advanced Statistics to Combine Ancient DNA with Paleo-Pollen Data
Pirzamanbein, B. (Invited speaker)
2025 Mar 13Activity: Talk or presentation › Invited talk
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POLLENOMICS: Decoding the Farming History of Europe Using Advanced Statistics to Combine Ancient DNA with Paleo-Pollen Data
Pirzamanbein, B. (Invited speaker)
2025 Jan 29Activity: Talk or presentation › Invited talk
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Digital Transformation of Flood Prediction and Management in Trelleborg
Pirzamanbein, B. (Invited speaker)
2025 Jan 28Activity: Talk or presentation › Invited talk
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Combining image processing with visualization inspired environmental scientists to analyse X-ray and neutron data
Pirzamanbein, B. (Interviewee)
2024 Dec 2Activity: Other › Media participation
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Hackathon: SynchroMage: 3D Tomography and Visualisation for Earth's Hidden Treasures – Environment and Climate theme - 2024
Pirzamanbein, B. (Organiser), Filipsson, H. (Organiser) & Larsson, E. (Organiser)
2024 Oct 22 → 2024 Oct 23Activity: Participating in or organising an event › Organisation of workshop/ seminar/ course
Prizes and Distinction
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Outstanding Bayesian research applied to climate science in the Section on Bayesian Statistical Science (SBSS), American Statistical Association (ASA), 2016
Pirzamanbein, B. (Recipient), 2016 Aug
Prize: Prize (including medals and awards)
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Recognized with an Honorary Mention in the Section on Statistics and the Environment (ENVR), American Statistical Association (ASA), 2016
Pirzamanbein, B. (Recipient), 2016 Aug
Prize: National/international honour
Datasets
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Dataset of 3D foraminifera to unravel environmental changes in the Baltic Sea entrance over the last 200 years
Choquel, C. (Creator), Ni, S. (Contributor), Müter, D. (Contributor), Hirose, K. (Contributor), Seto, Y. (Contributor), Schmiedl, G. (Contributor), Charrieau, L. (Contributor) & Pirzamanbein, B. (Contributor), Svensk nationell datatjänst (SND), 2023 Mar 16
DOI: 10.5878/285v-pt74
Dataset