Hi, I’m Christopher Snyder, a CP-Pathology resident at Washington University in St. Louis. My interests are in Haematopathology, Data-Science, AI, Mathematics, and History. Recently, I am applying for fellowships, studying for boards, spending time with family, and writing python data-science code. Recently I am excited about conformal-prediction as a tool for safe AI model deployment.

I am to bridge the conceptual and language barrier between machine learning and pathology, to deliver and communicate opportunities in translational AI. I tend to see Haematopathology as the richest area for this in terms of data and task complexity.

Experience

University of Texas at Austin

August 2017 - Jan 2018

Undergraduate Engineering TA (Intro to Probability)

Education

CP Pathology Residency

Washington University in St. Louis

MD-PhD Program

Joint Between University of Texas at Austin and Galveston Medical Branch

BS in Mathematics and Biomedical Engineering (dual degree)

Washington University in St. Louis

HS Diploma

St. Johns Highschool

Toolsets

  • Python, Jupyter Notebook

  • SQL (learning), C++, Matlab

  • Vim, Bash scripting, LaTeX

  • SSH tunneling, Git basics

  • Visual Studio, Code Assistants

  • MS Excel, Word, Powerpoint

  • Basics of HTML, Dashboarding

  • Epic EHR, Cerner

Skillsets

  • Coding, Version Control, Unit Testing
  • Image Processing
  • Natural Language Processing
  • AI Code Assistant Utilization

about this site

  • Designed and built from scratch by me using Ruby, HTML, Markdown, and Jekyll.

  • All the code for this site is open source and available on Github.

  • Although the code is opensource under the GNU General Public License v3, all content is Copyrighted. Read more