Simeon Mahov

About Simeon Mahov

At Cedars-Sinai, my team\'s focus is on synergizing cutting edge imaging with advanced computational approaches towards a multi-omics and spatial understanding of biology. Leading the Spatial Profiling core\'s data science initiatives, my work is integral to a spectrum of hematological and solid tumor studies, where we employ diverse methods and generative AI to refine data quality and biological insights.The analysis projects under my leadership leverage my competencies in applied math, machine learning, software development, tumor immunology, and project management, contributing significantly to biomarker discovery and translational research. As someone with a multidisciplinary background who values collaboration and thrives on challenging work, my objective is to push bioinformatics boundaries through scalable solutions that enhance our understanding of complex diseases.

Experience

1. Lead Bioinformatician

   Cedars-Sinai

   Jul 2024 — Present · Los Angeles, CA, US

   As Lead Bioinformatician, I am in charge of coordinating research towards computational methods for tumor microenvironment predictive modeling, bridging multiple omics platforms and spearheading advanced multi-omics pipelines at Cedars-Sinai’s Spatial Molecular Profiling core. I lead analyses for cross-institutional initiatives in immune response and function across lymphoma, lung, prostate, pancreatic, and neuroendocrine tumors, harnessing advanced machine learning, AI, topological modeling, and scientific visualization. My work includes integrating multiple imaging modalities like IMC, COMET Lunaphore, and Xenium to enable novel biomarker discovery, in addition to ensuring robust data pipelines and analysis project management for both internal and external collaborations. Our research focuses on diverse aspects of the tumor microenvironment, including signaling, vascularization, matrix remodeling, and inflammation. Our lab team drives core computational contributions to the NCI SeroNet consortium, modeling SARS-CoV-2 vaccine response in active cancer patients and providing critical insights for NCI and DoD grants. By pushing innovation in computational approaches and driving multi-omics collaborations, my work helps to expand the frontiers of understanding in tumor immunology and therapy response.

Education

• Georgia Institute of Technology

  Bachelor of Science, Mechanical Engineering

  2012 — 2014

• Technical University of Munich

  Master of Science, Computational Science and Engineering

  2015 — 2018

Skills

• Solidworks
• Algorithms
• Microsoft Excel
• Robotics
• C++
• Mechanical Engineering
• Autocad
• Feedback Control Systems
• Matlab
• Teamwork
• Simulations
• Labview
• Autodesk Inventor
• C
• Microsoft Office
• Data Analysis
• Research
• Finite Element Analysis
• Statistics