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biostochastics/README.md

Sergey Kornilov

Translational Neuroscience | Drug and Biomarker Discovery | Computational Biology

LinkedIn Email


About Me

Translational scientist with 10+ years of experience bridging computational approaches with deep biological understanding to accelerate therapeutic development. I specialize in:

  • Integrating multi-modal and multi-omic data (proteomics, transcriptomics, metabolomics)
  • Developing and validating biomarkers for neurological conditions
  • Applying advanced computational methods to complex biological problems
  • Designing and implementing translational strategies for drug development

Currently focused on neurodegenerative diseases (ALS, Alzheimer's, Parkinson's/LBD, MS) with extensive experience leading cross-functional teams through innovative projects in collaboration with industry partners.


Neuroscience & Clinical Research Expertise

EEG ERP MRI Source Localization Connectivity Eye Movements

Cognitive Neuroscience Developmental Science Psychometrics Language Disorders Neuroimmunology Neuroinflammation

Drug Discovery Clinical Trials PK/PD Modeling Target Identification Target Engagement

Translational Medicine Patient Stratification Disease Progression Digital Biomarkers Biomarker Validation

GxP CDISC GCP

Omics, Genetics & Systems Biology Expertise

Proteomics Transcriptomics Metabolomics Genomics scRNA--seq Spatial Omics Biobanks

Multi-Omic Integration Systems Biology Biomarker Discovery Bioinformatics WGCNA MEGENA

Statistical Genetics GWAS CNV Analysis Homozygosity Mapping Functional Variant Annotation Segregation Analysis STRP & Linkage Analysis

Olink PEA SomaScan PandaOmics

Statistical, ML & Computational Methods

Machine Learning Supervised Learning Unsupervised Learning NLP

Structural Equation Modeling Item Response Theory Latent Class Analysis GLMM

Biostatistics Power Simulations Research Synthesis Network Analysis Rater Analysis Observational & RWE

Technical Expertise

R Python JavaScript SQL Docker AWS Shiny Jupyter


Research Focus Areas

  • Neurodegenerative Diseases: ALS, Alzheimer's, Parkinson's/LBD, Multiple Sclerosis
  • Multi-Omic Integration: Network-based approaches, WGCNA, MEGENA
  • Biomarker Discovery: Target engagement, patient stratification, disease progression
  • Translational Strategy: Bridging preclinical findings to clinical applications
  • Advanced Analytics: Machine learning, causal inference, longitudinal modeling

Professional Background

  • Founder & Translational Scientist, Biostochastics, LLC
  • Former Senior Research Scientist, Institute for Systems Biology
  • Former Statistical Geneticist, Arivale
  • Duncan Scholar in Human and Molecular Genetics, Baylor College of Medicine
  • Postdoctoral Associate, Yale University School of Medicine
  • PhD, Experimental Psychology, University of Connecticut
  • PhD, Educational Psychology/Psychometrics, Moscow State University

Open for Collaboration

I'm interested in collaborating on projects related to:

  • Translational approaches in neurodegenerative disease
  • Biomarker discovery and validation
  • Multi-omic data integration methodologies
  • Clinical trial design incorporating novel biomarkers
  • Computational tools for drug development

Feel free to reach out if you're working in these areas or have ideas for potential collaboration.


Publications

For a complete list of my 65+ peer-reviewed publications, please visit my Google Scholar profile or connect with me on LinkedIn.

Select publications:

  • 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
  • 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)
  • 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

Pinned Loading

  1. qiprng qiprng Public

    High-precision, configurable pseudo-random number generator based on quadratic irrational numbers with optional cryptographic mixing in R

    R

  2. DoseFinder DoseFinder Public

    Simple allosteric scaling calculator for pharmacological dose finding

    JavaScript

  3. minoRityPower minoRityPower Public

    An R package for estimating statistical power in evaluating healthcare system-level interventions designed to accelerate clinical trial enrollment among minority participants. Developed for the ARP…

    R

  4. AgenticLLM-NLP AgenticLLM-NLP Public

    Google Colab notebook that examines instructed LLMs as trained rater agents for NLP and semantic processing in mixed methods research

    Jupyter Notebook

  5. multiomics_rrms_neurology_2024 multiomics_rrms_neurology_2024 Public

    Code to accompany and reproduce the multi-omic analyses in Kornilov et al. (2024), Neurology

    R

  6. CodeConCat CodeConCat Public

    A simple CLI tool that parses a local or Github repo and concats the annotated code into a separate file and or buffer.

    Python