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Alex Vaughan

I work across Biotech and Tech, with a core goal of using computational and biological tools to change the world for the better.

Experience

  • Chief Science Officer, Pymetrics Inc.
  • Consultant: Bioinformatics & Spatial Transcriptomics
  • Mentor, I-Corps NYC (2022)
  • Founder, AI for Good NYC (2021)
  • Scientific Co-Founder, Cajal Neuroscience (2020-)
  • Founder, MapNeuro Inc (Alexandria Launchlabs Seed Capital Prize and LIBH-NCAI) (2018-2020)
  • Scientific PM, IARPA MiCRONS @ CSHL (2016-2020)
  • CHSL (Schwartz Fellowship) (2012-2016)
  • Stanford University (Kennedy Fellowship) / Janelia HHMI (2005-2012)

Recent Projects

  • Biophysical simulations of large spatial transcriptomics datasets
  • Computational analysis of in-situ sequencing data
  • Novel approaches to model optimization in the context of AI fairness
  • Bayesian modeling of the real-wold impact of model metrics on AI fariness
  • Deep learning models for subspace mapping
  • Model-based inference about how neuronal computation is implemented in the brain.

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Profile website (Forked from academicpages.github.io and mmistakes/minimal-mistakes)

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  • JavaScript 35.7%
  • HTML 20.2%
  • Jupyter Notebook 19.6%
  • SCSS 17.9%
  • Python 4.0%
  • CSS 2.4%
  • Ruby 0.2%