👋 Hi, I'm Ivan Molineris, Associate Professor at the Department of Life Sciences and Systems Biology at the Università degli Studi di Torino, specializing in Molecular Biology (SSD: BIO/11). My work spans across various disciplines, including Biotechnology for Neuroscience, with a strong focus on bioinformatics and the study of complex systems for quantitative biomedicine.

• Associate Professor at the Department of Life Sciences and Systems Biology, Università degli Studi di Torino.
• Engaged in teaching courses like Applied Bioinformatics, Introductory Bioinformatics, Data Science, and more, primarily focusing on Biotechnology for Neuroscience and Biological Sciences.

• My research interests include bioinformatics, computational biology, and the study of transcription factor binding sites through machine learning and AI.
• Significant contributions to the understanding of RNA-seq analysis, artificial intelligence in the study of transcription factor binding sites, and the role of 3D DNA structure in RNA-DNA triple helices formation.
• For a detailed list of my publications, visit my ORCID profile.

• Expertise in molecular biology, bioinformatics, computational biology, and data science.
• Proficient in developing and managing projects like the RNA-seq analysis pipeline nJARP, aiming for high reproducibility and customization.

• I encourage students to embark on projects like nJARP and AI4TFBS, promoting the publication of their results in open repositories.
• Open to collaborations that push the boundaries of bioinformatics and computational biology.

• For collaborations, questions, or to get in touch, feel free to contacti me.

• Not Just Another RNAseq Pipeline (nJARP): Focusing on integrating state-of-the-art procedures for RNA-seq analysis.
• AI for the study of Transcription Factor Binding Sites (AI4TFBS): Exploring AI and machine learning approaches to improve TFBS discovery and modeling.
• The role of 3D DNA structure in RNA-DNA triple helices formation: Investigating the impact of DNA structure deviations on gene regulation.

Feel free to explore my repositories below to see some of my work and contributions to various projects!