Full CV



Personal Philosophy

  • I believe that the 21st century requires a more multifaceted toolkit if we hope to solve complex challenges–process and task oriented approaches balanced within a framework that fosters strategic thinking. That interdisciplinary relationships can be strengthened through active community participation–working toward something with the shared value of doing good.

  • I bring a lot of energy and enthusiasm to the projects that I become involved in. I thrive in situations that require imagination and innovation. My interests are varied; among my passions I would list: academic inquiry, classical and contemporary thought, the music and cuisine of other cultures, the arts, traveling, languages, and social justice. I believe that our most vulnerable deserve respect and to be treated with dignity and fairness.

  • Ultimately I hope that the work I do is helpful–that it enables discovery or provides clarity. I hope to bring together practical and principled approaches and I hope to further grow as this philosophy guides me.


Personal Skills

  • I am dedicated and hard working — a good communicator and active community participant. I work well on team efforts and projects with the ultimate aim of using data for social good.


  • I am:
    • creative
    • honest
    • friendly
    • enthusiastic
    • keen to learn new things and take on new roles
    • reliable
    • a lateral thinker
    • motivated


  • I am able to:
    • listen to and follow instructions accurately
    • work cooperatively
    • take on new challenges
    • complete tasks
    • support others
    • identify new innovations and technologies while working toward implementing them
    • be proactive
    • speak and read in French, Spanish, and English
    • read and understand some Japanese


Technical Skills

  • Coding: R, Python, STAN, BASH, SQL and JavaScript.

  • Data: Relational Databases (data modeling and SQL); Extract-Transfer-Load (ETL) strategies for data engineering — specifically with Apache NIFI for ETL; information retrieval; and, knowledge organizational theory. I have created my own DBMS in R and Shiny that uses PostgreSQL and SQLite as back-ends.

  • Data Science: both R and Python are a big part of my workflow from reading in data, transforming and tidying data, exploring and visualizing data, modeling, reporting, presenting, and tying it all together in a dashboard. In connection to R, I am a proponent of the tidyverse framework for its unifying API. With respect to Python, I enjoy using polars, pyjanitor, pymc, and plotly to work in equivalent ways. However I honestly prefer working in R. I am of course familiar with the scikit-learn and tensorflow libraries in Python. I have experience with spark as well, plus torch and keras for R. I have also worked with brms and hBayesDM for Bayesian modeling.

  • Web Technologies: HTML, CSS, Javascript; Quarto publishing; Rmarkdown Websites, Dashboards in R with shiny/flexdashboard that support crosstalk, and interactive data visualization with echarts; Static Site Generators, i.e., Hugo, and others.

  • OSs: macOS, Linux, and containers. Within the Linux ecosystem, I have experience with Debian based distributions as well as Red Hat Enterprise Linux. I love the terminal and wish vim bindings were universal.

  • DevOps tools: Fair knowledge of AWS and its services, including S3, Sagemaker, Glue, and EKS. I have also worked with Azure DevOps. I am very familiar with git and github and have experience with github actions for CI/CD. I have also worked with Docker and I have some MlOps experience.


Education

Doctor of Philosophy (Ph.D.) in Neurosciences - University of Geneva, Switerland / Mar 2019 ‑ Nov 2022

  • Research focus on computational models of addiction
  • Thesis Title: “Learning and Decision Making in Addiction: A Computational Approach”
  • Discontinued studies after 2.5 years

Master in Neurosciences - University of Geneva, Switzerland / Sep 2018 ‑ Mar 2019

  • Thesis: “Differential contributions of ventral striatum subregions to the affective processing of reward”
  • Collaborated with CalTech data engineers to implement tICA for better identification of activation and artifact components in fMRI.

Complementary Studies in Data Science - Smith College, MA, USA / Sep 2017 ‑ Jun 2018

  • Capstone project: Leveraged SQL and R to create a comprehensive analysis of the entertainment industry’s network using the IMDb database.

Bachelor of Science in Psychology - University of Geneva, Switzerland /Sep 2014 ‑ Jun 2017

  • Relevant coursework completed in statistics and scientific programming.


Coursework

  • Data Sctuctures and Algorithms
  • Data Mining
  • Machine Learning
  • Artificial Intelligence
  • Linux System Administration
  • Visualization for Scientific Data
  • Database Management Systems
  • Object-Oriented Programming
  • Spatial Analysis


Work Experience

    Freelancer

    Data Scientist - Part-time: Oct 2022 – Present | Geneva, Switzerland

      Led the development and launch of a scientific project in collaboration with EPFL, transitioning initial scripts into a comprehensive Software as a Service (SaaS) solution accessible to clients via Elastic Kubernetes Service (EKS) on AWS.
      Offered technical consulting services to a startup specializing in cognitive and educational technologies, translating academic research in cognitive neuroscience and developmental psychology into actionable solutions, while also advising on machine learning implementations.
      Collaborated closely with analysts across departments to design, build, and deploy various initiatives within the data platform, including the development, deployment, and maintenance of data services using R and PostgreSQL. Additionally, implemented best practices for continuous process automation, resulting in significant time savings for month-end processing.


    FlowBank

    Full Stack Data Scientist - Part-time: Jan 2023 – Jan 2024 | Geneva, Switzerland

      Conducted in-depth data analysis to classify customers using Bayesian inference, revealing distinct segments and patterns for data-driven decision-making and targeted strategies.
      Designed and implemented Apache NiFi ETL for efficient data processing and orchestration, contributing to streamlined data engineering workflows.
      Developed new internal tools for data analysts.


    FlowBank

    R Developer/ Data Engineer - Apr 2022 – Jan 2023 | Geneva, Switzerland

      Led the development of the data science infrastructure, creating an environment tailored for cutting-edge research and innovation.
      Developed and implemented complex statistical models in R to detect fraudulent transactions.
      Designed and maintained a data visualization dashboard in R Shiny, which allowed for easy monitoring of key performance indicators.


    University of Geneva

    Lecturer in Statistics - Part-time: Sep 2020 – Jan 2023 | Geneva, Switzerland

      Conducted lectures on statistics for the graduate program.
      Mentored and supervised graduate students in their statistical research projects, nurturing their analytical skills and research capabilities.
      Created and shared freely available data workshops in R and Python.


    Smith College

    Research Assistant - Part-time: Sep 2017 – Jun 2018 | Northampton, USA

      Led an independent research project in Pr. Wraga’s visual cognition group.
      Designed and collected data for a cognitive neuroscience experiment.


    University of Geneva

    Research Assistant - Part-time: Sep 2016 – Jun 2017 | Geneva, Switzerland

      Led an independent research project as part of Dr. Burra’s attentional capture group.
      Conducted signal processing of EEG data.


Open-Source Contributions

  • echarts4r
    • R, JavaScript - 2023 - Present
    • Collaborated on the development of echarts4r, a R package that expands the capabilities of R-based interactive visualizations with a powerful rendering engine, while enhancing flexibility and ease of use.


  • Firebase
    • R, JavaScript - 2023 - Present
    • Contributed to the firebase integration package for R, empowering the Shiny user community by enabling user authentication and secure file storage through Firebase Storage.


  • DbVieweR
    • R, SQL - 2022 - Present
    • Created a shiny app simulating a database management system featuring functions like login authentication, save/create/delete tables, add/rename columns, using either a PostgreSQL or SQLite back-end. DbVieweR


  • reprtree
    • R - 2022
    • Integrated the caret ensemble for reprtree (implementation of representative trees from ensembles of tree-based machines).


  • hBayesDM
    • STAN, R, Python - 2021
    • Collaborated on the Hierarchical Bayesian modeling of Decision-Making tasks library. Built Q-learning algorithm for probabilistic selection task. hBayesDM


  • 3dLMEr
    • BASH, R - 2020
    • Collaborated on the AFNI’s functions for 3Dimensional Linear Mixed-Effects Regression. Fixed residuals output image by adding bottom tolerance. 3dLMEr


Languages

  • French (Mother Tongue)
  • Spanish (Mother Tongue)
  • English (Fluent)
  • German (Basic)
  • Italian (Basic)


Accomplishments

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


Extracurricular Activities

  • Contributing to We Data’s mission by facilitating workshops, providing statistics tutorials, and participating in coding demonstrations.
  • Organizing R-Lunches at UniGe.
  • Co-founder of Go-Fast, a socially responsible Bike Messenger cooperative in Geneva.
  • Co-president of La Rustine, a non-profit organization promoting non-motorized mobility and self-sustainability in Switzerland.


Interests

  • Artificial Intelligence
  • Machine Learning
  • Bayesian Statistics
  • Natural Language Processing
  • Data Visualization
  • Ethics in Technology
  • Data Privacy
  • Data Engineering
  • Cybersecurity
  • Data Journalism


References Available upon request.