Yelarys Seidin
Third-year CS & Math student. Researching rare tactical events in chess, leading cyber education, and engineering anything that comes to my mind.
$ research
Knight Underpromotion Analysis
Leading a computational research on knight underpromotion and presenting findings at national and regional conferences. Developed a Python-driven AI classification framework to replace anecdotal chess discussion with objective, data-driven analysis of massive datasets.
View GitHub Repository$ experience
Research Assistant @ Dakota State University
Working on projects on topics from computational game theory
Assessment Support Software Developer @ Dakota State University
Developing a faculty-led application to digitize educational assessments
Student Leader @ Governors Cyber Academy
K-12 enrichment programming
Student Journalist @ Dakota State University
The Trojan Times, Dakota State University's official student newspaper
$ projects
RISCK Analysis Pipeline
A chess data science pipeline for identifying rare tactical events with a reproducible, database-first workflow.
$ blog
Published case study
RISCK: Analyzing a Time-Scramble Tactic in 64,000 Lichess Games
A published case study that walks through the analysis approach, the data model, and the visual results.