David Munoz Tord

Data Scientist & Computational Neuroscientist

Experienced data scientist with expertise in computational modeling, machine learning, and statistical analysis. Passionate about leveraging data for social good and bridging academic research with practical applications.

david.munoztord@gmail.com | munoztd0 | davidmunoztord | Download CV

Professional Experience

Johnson & Johnson | Senior R Programmer

Feb 2025 – Present | Spain

  • Leading open-source R package development to accelerate insights generation in clinical research settings
  • Designing and implementing efficient data analysis workflows for clinical trials
  • Collaborating with cross-functional teams to improve data processing and visualization capabilities

We Data | Data Science Consultant

Oct 2022 – Present | Switzerland / Japan

  • Collaborated with pharmaceutical and biotech clients on data-driven research projects, leveraging computational modeling and advanced statistical techniques
  • Developed data infrastructure solutions for multiple clients, implementing process automation and cloud-based data management systems
  • Conducted complex data analysis and predictive modeling across diverse industry domains, including healthcare and financial technology

FlowBank | Full Stack Data Scientist

Jan 2023 – Jan 2024 | Geneva, Switzerland

  • Implemented Bayesian customer segmentation models that revealed key patterns for targeted marketing strategies
  • Designed Apache NiFi ETL pipelines that improved data processing efficiency by 30%
  • Developed internal analytics tools that increased analyst productivity by 25%

FlowBank | R Developer/Data Engineer

Apr 2022 – Jan 2023 | Geneva, Switzerland

  • Led development of data science infrastructure supporting 10+ researchers
  • Created fraud detection models in R that improved detection rates by 15%
  • Built and maintained R Shiny dashboard for real-time KPI monitoring used by 20+ stakeholders

University of Geneva | Lecturer in Statistics

Sep 2020 – Jan 2023 | Geneva, Switzerland

  • Taught graduate-level statistics courses to 50+ students per semester
  • Mentored 15+ graduate students on statistical research projects
  • Created open-source data science workshops in R and Python with 500+ GitHub stars

Smith College | Research Assistant

Sep 2017 – Jun 2018 | Northampton, USA

  • Led independent research project in visual cognition
  • Designed and collected data for cognitive neuroscience experiments

University of Geneva | Research Assistant

Sep 2016 – Jun 2017 | Geneva, Switzerland

  • Conducted independent research in attentional capture
  • Performed EEG signal processing and analysis

Education

Doctor of Philosophy (Ph.D.) in Neurosciences (discontinued after 2.5 years)
University of Geneva, Switzerland | Mar 2019 ‑ Nov 2022
Research focus: Computational models of addiction
Thesis: “Learning and Decision Making in Addiction: A Computational Approach”

Master in Neurosciences
University of Geneva, Switzerland | Sep 2018 ‑ Mar 2019
Thesis: “Differential contributions of ventral striatum subregions to the affective processing of reward”

Complementary Studies in Data Science
Smith College, MA, USA | Sep 2017 ‑ Jun 2018
Capstone: IMDb database analysis using SQL and R

Bachelor of Science in Psychology
University of Geneva, Switzerland | Sep 2014 ‑ Jun 2017
Focus on statistics and scientific programming

Technical Skills

Programming Languages: R, Python, STAN, BASH, SQL, JavaScript

Data Engineering: PostgreSQL, SQLite, ETL pipelines (Apache NIFI), Databricks, data modeling

Data Science: tidyverse, polars, pyjanitor, pymc, plotly, scikit-learn, tensorflow, Pyspark, torch, keras, brms, hBayesDM, SparklyR

Web Development: HTML, CSS, JavaScript, Quarto, R Shiny, echarts, Hugo

DevOps: AWS (S3, Sagemaker, Glue, EKS), Azure DevOps, git, GitHub Actions, Docker, MLOps

Operating Systems: macOS, Linux (Debian, RHEL), containers

Open-Source Projects

circle | R | 2025-Present
Maintainer of rOpenSci’s R client package for Circle CI, facilitating continuous integration and deployment workflows for R packages. The package provides functions for CI/CD tasks such as build restarts, log queries, and environment variable management.

echarts4r | R, JavaScript | 2023-Present
Contributor to interactive visualization package with 800+ GitHub stars

Firebase for R | R, JavaScript | 2023-Present
Contributor to Firebase integration for Shiny applications

DbVieweR | R, SQL | 2022-Present
Created an R database management system with PostgreSQL/SQLite backend

hBayesDM | STAN, R, Python | 2021
Implemented Q-learning algorithms for Hierarchical Bayesian modeling package

3dLMEr | BASH, R | 2020
Contributed to AFNI’s 3D Linear Mixed-Effects Regression functions

Community Involvement

  • Member of AI for Good Young AI Leaders Community, contributing to the United Nations’ platform on AI for sustainable development
  • Member of rOpenSci organization, contributing to their mission of transforming science through open data, software, and reproducibility
  • Workshop facilitator and statistics tutor for We Data
  • Organizer of R-Lunches at University of Geneva
  • Co-founder of Go-Fast, a socially responsible Bike Messenger cooperative
  • Co-president of La Rustine, promoting sustainable mobility in Switzerland

Languages

  • French (Native)
  • Spanish (Native)
  • English (Fluent)
  • Japanese (Basic)
  • Italian (Basic)

Accomplishments

  • Top 2% on Stack Overflow in 2024
  • Top 25% on GitHub in 2023
  • Global Fellow scholarship recipient in 2017

Personal Philosophy

I believe in interdisciplinary approaches to complex challenges, bringing energy and creativity to projects while maintaining a focus on practical outcomes. My work aims to enable discovery, provide clarity, and ultimately contribute to social good through data-driven solutions.

References available upon request.