Consulting

Find the right data system solutions for your particular research needs.

Whether you are interested in social media or geo-spatial data, machine learning or causal inference, in producing original research or supporting data services for research or library staff, we are happy to offer our consulting services. We can provide our unique perspective in choosing a technical stack, designing data pipeline architecture, providing prototypes and proofs of concept, making performance, security and privacy recommendations, and more.

Contracting

Build your infrastructure with our professional engineering staff.

In addition to our consulting services we also offer software and data engineering contracting services. We are happy to work within or outside of your technical stack to build out or improve existing data systems. We offer short term project-based contracts as well as monthly maintenance retainer contracts for system support.

About the team

Marcus Russi has worked on a wide variety of interdisciplinary research projects, including leading development of a population-scale simulation model of tuberculosis epidemiology for the Yale School of Public Health, building the stack and data pipeline of COVID-19 modeling platform covidestim, and contributing to the scientific data platform of the MethaneSAT satellite analytics project. He is passionate about the use of software engineering as a tool to gain leverage on complex and important problems. He completed his undergraduate studies in Computer Science at Yale University in 2018.

Sylvan Zheng has built data and machine learning infrastructure at Meta/Facebook, Acronym Columbia University's Brown institute, and is currently a PhD student at NYU Politics and a graduate affiliate of the Center for Social Media and Politics. Sylvan completed his undergraduate studies in Computer Science at Yale University in 2017 and a master's in Interactive Telecommunications at the Tisch School of Art in 2021.

Our favorite technical tools

  • languages
  • C / C++ / Python
  • R / Julia
  • Ruby / Javascript
  • SQL / PL / pgSQL
  • frameworks
  • Next.js / React / D3
  • Tidyverse / Rshiny
  • Rails / node.js
  • Selenium / Beautifulsoup
  • sklearn / stan
  • tools
  • Nextflow / Flyte
  • Docker / Apptainer
  • SLURM
  • Unix / GNU Make
  • platforms
  • Observable
  • AWS

Of course, client needs and existing technical infrastructure always factor in to our choice of tooling. We are always happy to work with platforms and languages not listed as needs require.

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