Nikita Nekliudov (he/him)

Nikita Nekliudov (he/him)

Postdoctoral Scholar in Clinical Informatics

Institute for Health Metrics and Evaluation

University of Washington


I am passionate about health services research aimed at increasing the efficiency and responsiveness of health systems and diminishing inequalities in health and in access to healthcare globally. Currently, I am focusing on the health care utilization envelope project providing inpatient and outpatient admission rate estimates in every location within the Global Burden of Disease (GBD) study framework. In my work with the Clinical Informatics team at the Institute for Health Metrics and Evaluation (IHME) at the University of Washington, I have a chance to apply skills in data wrangling and visualization, multilevel modeling, metaregression tools, and data seeking and extraction through systematic search and collaborator outreach.

During my studies, I was striving to contribute to international research projects in population health with a focus on the post-COVID-19 condition, mental health, and allergy. Though these endeavors, I acquired leadership and management skills, got familiar with the process of scientific publication, learned electronic database management and received practical knowledge of epidemiological study design and foundations of association analysis.

I do my best to facilitate a friendly and inclusive environment in the workplace by actively participating in related initiatives. As such, I currently lead an Employee Resource Group (ERG) for postdocs and researchers at the Institute working toward building a sense of community amongst us and providing systemic tools and knowledge base for professional growth.

  • Health services research
  • Clinical informatics
  • Health metrics
  • MSc in Global Health Science and Epidemiology

    University of Oxford

  • Doctor of Medicine

    Sechenov University



R, Stata, Python, bash, git


Descriptive, inferential, meta-analysis, Bayesian


English, Russian, German, Spanish, French


Institute for Health Metrics and Evaluation
Postdoctoral Scholar
September 2022 – Present Seattle, WA, United States
  • Data wrangling, aggregation and visualization with R and Python
  • Pre-processing of complex, non-standardized datasets from international collaborators for epidemiological analyses
  • Applying metaregression tools for global health metrics estimation
  • Data seeking through systematic search and external collaborator outreach
The Core Outcome Set for Food Allergy (COMFA) Consortium
Virtual Networking Support Manager
July 2021 – August 2022 Remote
  • Coordinated an EU-funded international consensus study
  • Drafted a global consensus study protocol to establish core outcome set to harmonise human studies of food allergy
  • Managed grant reports and convened regular meetings with over 70 the task force members to facilitate decision-making and coordinate collaborative projects
  • Produced 2 systematic search strategies and oversaw screening and data extraction for 2 systematic reviews to aid the long list of outcomes for the Delphi process
  • Organised international workshop on the development of core outcome sets for clinical trials
  • Guided applicants on grant applications and reporting
  • Provided documentation to the Grant Holder Institution and the European Cooperation in Science and Technology (COST)
  • Structured activity-based budget
Research Assistant and Project Coordinator
July 2020 – August 2021 Moscow, Russia
  • Cleaned and curated data for the collaborative analysis with the GBD and was named as a co-author on 2 manuscripts currently under review
  • Budgeted two research grants from the British Embassy Moscow and ensured comprehensive reporting to lay out a long-lasting relation between the grant organization and the institution
  • Streamlined data collection from over 5000 electronic health records in the health information system to compile the largest database of hospitalized patients countrywide and curated the dataset
  • Managed a team of over 50 researchers using hierarchical leadership to conduct a prospective observational study with extremely tight deadlines
  • Contributed data from a cohort study of the acute SARS-CoV-2 infection to the Infectious Diseases Data Observatory using CDISC Foundational Standards
  • Initiated a national cross-sectional survey administration and executed the project at all stages providing nationwide estimates and determinants of mental health during lockdown
  • Conveyed statistical analysis plans to statisticians, interpreted and discussed the outputs in 4 international projects ensuring mutual understanding


Neural Networks and Deep Learning
See certificate
Formulated informed blockchain models, hypotheses, and use cases.
See certificate
Object-Oriented Programming in R
See certificate


Example Project
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Recent Publications

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(2015). An example journal article. Journal of Source Themes, 1(1).

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