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Daniel Vartanian
Interdisciplinary researcher specializing in agent-based modeling, complex systems, and research software engineering, primarily in social, public health, and environmental contexts. Highly skilled in R (incl. package development), NetLogo, Python, data visualization, user interfaces (GUIs), and reproducible research. Experienced in leading and collaborating across interdisciplinary teams, developing user-friendly scientific tools, and supporting stakeholder engagement. Fluent in English and Portuguese. Prepared to relocate and integrate into new institutional and cultural environments.
Additional supporting documents, detailed outputs, and original references available upon request or via links below.
Legal name: Daniel Kachvartanian de Azevedo
Professional and social name: Daniel Vartanian
Education
MSc, Complex Systems Modeling
University of São Paulo (USP)
São Paulo, SP, Brazil
2025 - 2022
- Focus on agent-based and computational modeling of complex social, public health, and environmental systems
- Published one peer-reviewed article and presented two conference abstracts
- Two further articles for peer-reviewed publication in preparation
- Founded the Agent-Based Modeling Study Group (USP)
- Thesis: danielvartan.github.io/mastersthesis
BSc, Marketing
University of São Paulo (USP)
São Paulo, SP, Brazil
2022 - 2016
- Strong quantitative foundation in statistics, calculus, and finance
- Prioritized analytical rigor and marketing science
- Graduated 23rd/66
- Final grade: 7.7/10
- Four undergraduate research/outreach projects
- Co-founded the Wellness and Health Commission (EACH-USP)
Research Experience
Research Fellow
São Paulo, SP, Brazil
Present - 2024
Lead modeler on the Global Syndemic project (CNPq-funded):
- Develop agent-based models investigating how climate change impacts child nutrition and health
- Create and document NetLogo models/flexible GUIs for exploring climate and food outcomes (e.g., LogoClim, FoodClim)
- Develop data science reports and reproducible research software
- Design, deliver, and maintain training in R and open science
- Collaborate with nutrition/public health stakeholders
- Support cross-disciplinary and multi-institutional project teams
Graduate Research Fellow
University of São Paulo (USP)
São Paulo, SP, Brazil
2025 - 2022
- Led analysis on Brazil’s largest human chronotype dataset (n=115,166)
- Conducted advanced data/statistical modeling on latitude and circadian phenotype
- Authored research software for data analysis and visualization
- Participated in international seminars and graduate-level symposia
- Supported undergraduate teaching/internship in computational methods
Assistant Research Fellow
University of São Paulo (USP)
São Paulo, SP, Brazil
2022 - 2019
- Developed models of biological time series and open-source R packages (e.g., {mctq} and {actverse})
- Co-authored the first Brazilian Actigraphy Consensus and delivered associated training
- Managed, trained, and mentored interdisciplinary teams
- Organized and promoted extension and outreach activities with public sector and health stakeholders
Undergraduate Research Fellow
University of São Paulo (USP)
São Paulo, SP, Brazil
2019 - 2016
- Organized and promoted outreach initiatives
- Provided technical and analytical research support
- Led initiatives in science communication, public outreach, and collaborative academic events
Affiliations
RESICLIMA Network
Researcher (2024-Present)
Sustentarea
Researcher (2024-Present)
rOpenSci
Software Developer and Maintainer (2021-Present)
Interdisciplinary Sleep Research Group (GIPSO)
Researcher (2016-2022)
Languages
English
Fluent
Fluent
Fluent
Fluent
Portuguese
Fluent
Fluent
Fluent
Fluent
Spanish
Fluent
Fluent
Intermediate
Intermediate
French
Basic
Basic
Basic
Basic
Teaching Experience
An Introduction to the R Programming Language
University of São Paulo (USP)
São Paulo, SP, Brazil
2025
Technical High School Program in Administration
Government of the State of São Paulo
São Paulo, SP, Brazil
2024
(State school teacher)
ACH0042 - Problem Based Learning II
University of São Paulo (USP)
São Paulo, SP, Brazil
2023
(Graduate teaching intern)
Honors, Awards & Fellowships
Technological and Industrial Development (DTI-B) Research Fellowship
National Council for Scientific and Technological Development (CNPq)
N/A
2025 - 2024
Master’s Research Fellowship
Coordination for the Improvement of Higher Education Personnel (CAPES)
N/A
2024 - 2022
2nd Best Work
30th International Symposium on Undergraduate Research of the University of São Paulo (SIICUSP)
N/A
2023
Best-Performing Project
Innovation and Entrepreneurship Incentive Program (InovaGrad) of the University of São Paulo (USP)
N/A
2019
Programming Languages
Expert
R
NetLogo
Advanced
Python
SQL
Intermediate
Bash
JavaScript
Beginner
C C++ C#
Scala
GAML (GAMA)
GDScript (Godot)
Julia
Lua
PHP
Markup/Other Languages
CSS
Git
HTML
Markdown
SASS
SPSS
TeX LaTeX
Outreach Projects
Agent-Based Modeling Study Group
University of São Paulo (USP)
São Paulo, SP, Brazil
Present - 2024
Study group for researchers, students, and professionals interested in learning about and using agent-based models.
Durma na EACH (Sleep at EACH)
University of São Paulo (USP)
São Paulo, SP, Brazil
2018 - 2017
Wellness project focused on creating sleep spaces for students, developed at EACH-USP.
Selected Talks
Selected Software Projects
LogoClim
Creator and Maintainer
N/A
2025
NetLogo model developed to simulate and visualize climate conditions using data from WorldClim 2.1.
FoodClim
Creator and Maintainer
N/A
2025
NetLogo model designed to simulate how food yield responds to different climate conditions.
actverse
Creator and Maintainer
N/A
2025
R package providing a tidyverse-style toolbox for actigraphy data analysis.
mctq
Creator and Maintainer
N/A
2021
R package providing a tidyverse-style toolbox for processing and analyzing the Munich ChronoType Questionnaire (MCTQ).
- Published on CRAN (+10,000 downloads)
Technical Skills
• Statistical modeling
• Complex systems modeling
• Agent-based modeling
(NetLogo, GAMA, Python/Mesa)
• Programming
(R, Python, NetLogo, SQL)
• Machine learning
• Temporal data analysis
• Spatial data analysis
• Data visualization
(Shiny, Plotly, Quarto, R Markdown)
• Research software development
• Open science practices
• Reproducible research
• Project management
• Technical and academic writing
• Proposal/grant writing
• Community building and management
• Cross-sector teamwork
• Scientific communication
• Graphic and web design
Selected Publications
Is Latitude Associated with Chronotype?
University of São Paulo (USP)
N/A
2024
Vartanian, D. (2024). Is latitude associated with chronotype? [Master’s thesis, University of São Paulo]. https://doi.org/10.17605/OSF.IO/YGKTS
Actigraphic Characterization of Sleep and Circadian Phenotypes of PER3 Gene VNTR Genotypes
Chronobiology International
N/A
2023
Viana-Mendes, J., Benedito-Silva, A. A., Andrade, M. A. M., Vartanian, D., Gonçalves, B. da S. B., Cipolla-Neto, J., & Pedrazzoli, M. (2023). Actigraphic characterization of sleep and circadian phenotypes of PER3 gene VNTR genotypes. Chronobiology International, 40(9), 1244–1250. https://doi.org/10.1080/07420528.2023.2256858
- Impact factor: 2.2/JCR (2023)
Brazilian Actigraphy Consensus
Segmento Farma Editores
N/A
2021
Pedrazzoli, M., & Gonçalves, B. S. B. (Eds.) (with Benedito-Silva, A. A., Toscanini, A. C., Souza, A. P. P. B., Conway, B. A., Vartanian, D., Santos, E. H. R., Pires, M. L. N., & Leocadio-Miguel, M. A.). (2021). Consenso brasileiro de actigrafia [Brazilian actigraphy consensus]. Segmento Farma Editores.
Early Chronotype with Advanced Activity Rhythms and Dim Light Melatonin Onset in a Rural Population
Journal of Pineal Research
N/A
2020
Ruiz, F. S., Beijamini, F., Beale, A. D., Gonçalves, B. D. S. B., Vartanian, D., Taporoski, T. P., Middleton, B., Krieger, J. E., Vallada, H., Arendt, J., Pereira, A. C., Knutson, K. L., Pedrazzoli, M., & Von Schantz, M. (2020). Early chronotype with advanced activity rhythms and dim light melatonin onset in a rural population. Journal of Pineal Research, 69(3). https://doi.org/10.1111/jpi.12675
- Impact factor: 8.3/JCR (2023)