Co-founder and Chief Executive Officer
Mohammad has more than a decade of experience in scientific programming and computational modeling and, especially, over eight years of experience in computational and systems biology. He is the Principal Investigator on four SBIR/STTR grants from the National Institutes of Health (NIH) and the Nation
Co-founder and Chief Executive Officer
Mohammad has more than a decade of experience in scientific programming and computational modeling and, especially, over eight years of experience in computational and systems biology. He is the Principal Investigator on four SBIR/STTR grants from the National Institutes of Health (NIH) and the National Science Foundation (NSF). Mohammad's research in Dr. Mofrad's Lab at the University of California, Berkeley, supported by the NIH, formed the foundation for Nexilico's microbiome precision medicine technology.
Director of R&D
Wyatt is a computational biologist with more than 15 years of experience analyzing complex microbiome data from next-generation sequencing including bioinformatics, high performance computing (HPC), and computational biology using machine learning and deep learning techniques. His broad exposure to applications of genomic t
Director of R&D
Wyatt is a computational biologist with more than 15 years of experience analyzing complex microbiome data from next-generation sequencing including bioinformatics, high performance computing (HPC), and computational biology using machine learning and deep learning techniques. His broad exposure to applications of genomic technologies at the Joint Genome Institute was followed by industry experience with development of commercial microbiome platforms for sample profiling, stratification, outcome prediction, recommendations, and biomarker discovery.
Machine Learning Engineer
Vladimir is a seasoned ML engineer with a wealth of experience in developing complex models. Previously, he served as an ML Researcher at Altfest Personal Wealth Management, where he specialized in constructing reinforcement learning solutions for financial models. Prior to this role, he conducted research at Rut
Machine Learning Engineer
Vladimir is a seasoned ML engineer with a wealth of experience in developing complex models. Previously, he served as an ML Researcher at Altfest Personal Wealth Management, where he specialized in constructing reinforcement learning solutions for financial models. Prior to this role, he conducted research at Rutgers University, focusing on translating computational principles of the brain to ML algorithms. His work resulted in publications in prestigious venues such as NeurIPS and Neural Computation. At Nexilico, Vladimir is leveraging his extensive ML engineering background to develop advanced models for microbiome engineering.
Co-founder and Chief Scientific Advisor
Mohammad is a professor of Bioengineering at University of California, Berkeley. He has previously co-founded two startups, one of which was acquired by Fresenius Medical Care. He has nearly 20 years of experience in computational modeling of biological and physiological systems, specifically, microb
Co-founder and Chief Scientific Advisor
Mohammad is a professor of Bioengineering at University of California, Berkeley. He has previously co-founded two startups, one of which was acquired by Fresenius Medical Care. He has nearly 20 years of experience in computational modeling of biological and physiological systems, specifically, microbiomes. Mohammad has published over 150 scientific articles in top tier journals, holds several patents in various fields of bioengineering, and has received numerous national and international awards including the NSF CAREER Award and AHA National Innovator Research Grant.
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