ORCID: 0000-0003-4501-6121 | Github profile: macromeer | Bluesky profile: @macromeer.github.io |
I am an early-career postdoctoral researcher focused on the quantitative analysis of the behavior of biological cells, with expertise in computational modeling of cellular mechanisms of tissue remodeling and advanced digital image analysis of microscopy data. Currently, I am analyzing cellular dynamics in damaged cardiac tissue to uncover cellular mechanisms of zebrafish heart regeneration ๐โค๏ธ
Postdoc (2023 - Present) at University of Bern, Institute of Anatomy, Developmental Biology and Regeneration Unit
PhD Student (2017 - 2022) at ETH Zurich, Department of Biosystems Science and Engineering
Skill | Language | Proof |
---|---|---|
Computational Modeling | C++ | work |
Data Analysis | Julia, Python, R | Julia certification, Python work, R certification |
Deep Learning | Python (PyTorch) | certification |
Data Visualization | R | R work, R certification |
Achievement | Publication |
---|---|
Developed a computational model elucidating the mechanistic role of FGF8 signaling in nephron progenitor cell behavior. | Sharma, A. and Meer, M. et al. (2022). Development, 149(21). |
Created image analysis pipelines to study subcellular structures in zebrafish hearts. This helped to uncover the role of lysosomes in valvular heart development and regeneration-promoting metabolic profiles related to Cox7a1-driven complex IV dimerization. | Chavez, M. N., et al. (2024), iScience; Garcรญa-Poyatos, C., et al. (2024), Developmental Cell, 59(14). |
Developed image analysis pipelines for subcellular structure analysis in zebrafish hearts. | Meer, M. (2024). MercaderLabAnatomy/T-MIDAS: v0.1.9-beta. Zenodo. |
Established methods for the investigation of cellular behaviour in the cardiac injury microenvironment. | UniBe Initiator Grant 2024 ๐ |