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Max Sorokin
Head of Bioinformatics – OncoBox
Max Sorokin is the Head of Bioinformatics at OncoBox, where he focuses on developing bioinformatics solutions for cancer treatment. He holds a PhD in Molecular Biology and Bioinformatics and has co-authored several research papers that explore innovative approaches to predicting effective drug combinations for cancer therapy using the OncoBox platform.
Professional Background
- Current Position: Head of Bioinformatics at OncoBox, where he leads efforts to utilize bioinformatics for selecting effective anticancer drug combinations. His work involves analyzing gene expression data and the activation of signaling pathways in cancer cells to enhance treatment efficacy and combat drug resistance.13
- Research Contributions: Sorokin has been involved in significant research that demonstrates how synergistic combinations of drugs can improve clinical outcomes by preventing or delaying the development of drug resistance in cancer cells. His research has shown that targeted therapies can be optimized using bioinformatics tools like OncoBox, which analyzes complex biological data to identify effective treatment strategies.134
Education
- PhD: Max Sorokin earned his doctoral degree in Molecular Biology and Bioinformatics, which provides him with a strong foundation in both computational analysis and biological sciences.25
Skills and Expertise
- Bioinformatics: Specializes in next-generation sequencing (NGS) data analysis, RNA and DNA analysis, and proteomics, which are crucial for understanding cancer biology and treatment response.
- Research Publications: He has contributed to various scientific publications that focus on drug resistance mechanisms in cancer and the application of bioinformatics in oncology.134
Max Sorokin's expertise positions him as a key figure in advancing personalized medicine approaches for cancer treatment through innovative bioinformatics solutions.
Highlights
Mar 8 · f6s.com
Max Sorokin | CSO at Endometrics | F6S Member Profile
Feb 9 · frontiersin.org
Algorithmic Annotation of Functional Roles for Components of 3044 ...
Sep 29 · pubmed.ncbi.nlm.nih.gov
Oncobox Bioinformatical Platform for Selecting Potentially Effective ...
Sep 29 · pmc.ncbi.nlm.nih.gov
Oncobox Bioinformatical Platform for Selecting Potentially Effective ...