Mostafa Kalhor

Dynamic professional with a unique blend of expertise in machine learning, bioinformatics, engineering, and mathematics. Leveraging this interdisciplinary background, I am driven to push the boundaries of innovation in AI-driven solutions for bioinformatics research.

• Python (e.g., TensorFlow, Scikit-learn)
• Git
• Matlab
• Perseus
• Proteomics search engines (e.g., MaxQuant)
• Linux

• Rescoring Peptide Spectrum Matches: Boosting Proteomics Performance by Integrating Peptide Property Predictors into Peptide Identification, Molecular & Cellular, Proteomics, https://doi.org/10.1016/j.mcpro.2024.100798
• Oktoberfest: Open-source spectral library generation and rescoring pipeline based on Prosit, Proteomics, https://doi.org/10.1002/pmic.202300112
• XL-Prosit: Accurate Fragment Intensity Prediction and Enhanced Cross-Linked Peptide Identification for Protein Structural and Interaction Studies, in preparation
• Locally convex-regions approximation using an incremental quadratic-based fuzzy clustering, 76, Applied Soft Computing, https://doi.org/10.1016/j.asoc.2018.12.027
• Ranking and rejecting of pre-trained deep neural networks in transfer learning based on separation index, https://arxiv.org/abs/2012.13717