Translational Science | Multi-Omics | Computational and Systems Biology | Clinical Trials | Machine Learning | A.I. | Behavioral Science | Language & Cognition | Psychometrics | Neurodevelopment | Neurodegeneration

LinkedIn Email Google Scholar

Translational scientist bridging computational approaches with biological understanding to accelerate therapeutic development. Currently guiding translational strategy for neurodegenerative diseases (ALS, Alzheimer's, PD/LBD, MS) with 15+ years experience in research and industry-facing R&D, including multi-omic integration, biomarker discovery, and clinical trial design.

Current Focus: Metabolic interventions in neurodegeneration | Multi-omic biomarker validation | Translational study design | A.I. in precision medicine

• Platforms: Olink PEA, SomaScan, Metabolon, IonS5, Illumina, 10x
• Omics:: Genomics (STRP, microarrays, WGS, WES), transcriptomics (bulk RNA-Seq, scRNA-Seq), proteomics, metabolomics
• Analysis: Bioinformatics, biostatistics, simulation-based and patient-centered approaches (e.g., Latent Class Analysis)
• Integration: WGCNA, MEGENA, MOFA/MEFISTO, DIABLO, biclustering, network-based approaches

• Methods: Neurophysiology: EEG/ERP, (f)MRI, eye movements, digital biomarkers, observational and experimental study ndesign
• Behavioral: Psychometrics, assessment and test development, intelligence, decision making
• Diseases: ALS, Alzheimer's, Parkinson's/LBD, MS, neuropsychiatric and neurodevelopmental disorders, Metabolic Syndrome
• Translation: Biomarker validation, patient stratification, clinical trial design

• Discovery: Target identification, MoA characterization, A.I.-enabled discovery (e.g., PandaOmics)
• Clinical: RCT & trial design, biomarker strategy, regulatory documentation, CDISC foundational standards
• Analytics: Power analysis, biostatistics, machine learning, causal inference, longitudinal modeling, RWE
• Indication prioritization

R (Expert) Python SQL AWS/GCP Docker Shiny Statistical Modeling Machine Learning

🔬 Metabolic Therapy Platform - Guiding translational strategy for neurodegenerative applications
📊 Multi-Omic Biomarker Suite - Developing integrated biomarkers for disease progression
🤖 ML Pipeline Development - Building scalable analysis pipelines for clinical data

📄 65+ peer-reviewed publications | Full list on Google Scholar

• Kornilov, S., Price, N., Gelinas, R., ... & Magis, A. (2024). Multi-Omic characterization of the effects of Ocrelizumab in patients with relapsing-remitting multiple sclerosis. Journal of the Neurological Sciences, 467, 123303, 10.1016/j.jns.2024.123303
• Heath, L. Earls, J., Magis, A., Kornilov, S., ... Price, N. (2022). Manifestations of Alzheimer's disease genetic risk in the blood are evident in a multiomic analysis in healthy adults aged 18 to 90. Scientific Reports, 12(6117), 10.1038/s41598-022-09825-2
• Kornilov, S., Lucas, ... & Magis, A. (2020). Plasma levels of soluble ACE2 are associated with sex, Metabolic Syndrome, and its biomarkers in a large cohort, pointing to a possible mechanism for increased severity in COVID-19. Critical Care, 24, 452, 10.1186/s13054-020-03141-9.
• Kornilov, S., Zhukova, M., ... & Grigorenko, E.L. (2018). Language Outcomes in Adults with a History of Institutionalization: Behavioral and Neurophysiological Characterization. Scientific Reports, 9, 10.1038/s41598-019-40007-9
• Kornilov, S., Rakhlin, N., ... & Grigorenko, E.L. (2016). Genome-Wide Association and Exome Sequencing Study of Language Disorder in an Isolated Population. Pediatrics, 137(4), 10.1542/peds.2015-2469
• Kornilov, S., Tan, M., Aljughaiman, A., Naumova, O.Y., & Grigorenko, E.L. (2019). Genome-Wide Homozygosity Mapping Reveals Genes Associated With Cognitive Ability in Children From Saudi Arabia. Frontiers in Genetics, 10, 888. 10.3389/fgene.2019.00888

Founder & Translational Scientist | Biostochastics LLC (2024-Present)
Senior Research Scientist | Institute for Systems Biology (2019-2024)
Statistical Geneticist | Arivale Inc (2018-2019)
Research Assistant Professor | University of Houston (2017-2018)

Education: PhD Experimental Psychology (UConn) | PhD Educational Psychology (Moscow State University)
Training: Duncan Scholar, Baylor College of Medicine | Post-doc, Yale School of Medicine Awards: Outstanding Doctoral Dissertation in Developmental Science (Society for Research in Child Development), GoldenHelix Award for Best Research, Isabelle Libermann award.

Open to partnerships in:

• Applications of A.I. in healthcare and biotech
• Computational tools for drug development
• Multi-omic biomarker discovery
• Neurodegenerative disease therapeutics
• Metabolic and multi-omic studies
• Clinical trial design with novel endpoints
• Psychiatric disorders therapeutics

📧 Contact: sergey@kornilov.bio | LinkedIn