Overview

Welcome to my research page! As a PhD candidate in the Mathematics Department, my work integrates mathematical and statistical analysis with machine learning techniques to tackle complex problems in biological image analysis. I primarily focus on applying these methodologies to single-cell analysis using high-throughput microscopy images, aiming to advance our understanding in neuroscience and biology.

Publications

• Supervised and unsupervised learning reveals heroin-induced impairments in astrocyte structural plasticity, Science Advances. Marini, M., Niu Y., Zhao H., Mohan A., Koorndyk N., Kruyer A., Labate D. (2025)

• βIV Spectrin abundancy, cellular distribution, and sensitivity to AKT/GSK3 regulation in schizophrenia, Molecular Psychiatry. Di Re, J., Marini, M., Hussain, S.I., Singh, A.K., Venkatesh, A., Alshammari, M.A., Alshammari, T.K., Hamoud, A.R.A., Imami, A.S., Haghighijoo, Z., Fularcyzk, N., Stertz, L., Mosebarger, A., Jernigan, J., Chaljub, C., Walss-Bass, C., Schulmann, A., Vawter, M.P., McCullumsmith, R.D., Damoiseaux, R., Limon, A., Labate, D., Wells, M.F., Laezza, F. (2025)

• SPACe: an open-source platform for single-cell analysis of Cell Painting data, Nature Communications. Stossi, F., Singh, P.K., Marini, M., Safari, K., Szafran, A.T., Rivera Tostado, A., Candler, C.D., Mancini, M.G., Mosa, E.A., Bolt, M.J., Labate, D., Mancini, M.A. (2024)

• High-throughput microscopy and single-cell phenotypic image-based analysis in toxicology and drug discovery, Biochemical Pharmacology. Stossi, F., Singh, P., Safari, K., Marini, M., Labate, D., Mancini, M. (2023)