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