About Me
Hello! I am a first-year PhD student in Computer Science at Yale, where I focus on geometric methods to analyze and understand network dynamics, particulary applied to neuroscience. I'm interested in understanding cognition in the brain using mathematics, and using these insights to build better AI systems and clinical tools.
Experience
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PhD Student at Yale University
Researching geometric methods to analyze and understand network dynamics in neuroscience. -
Intern at MathWorks
Conducted research on high-performance C++ functions for mathematical operations. Built and tested proof-of-concept Deep Learning Transformer model to assess viability for a Deep Learning-based product offering.
Publications
- Savik Kinger. 2023. Quantifying Recombination Bias in Viral Evolution Using Persistent Homology. In Proceedings of ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2023). https://doi.org/10.1145/3584371.3612992
Education
- BA in Computer Science, BA in Mathematics from Columbia University. Graduated May 2024.
Teaching Experience
- CS 4231 Analysis of Algorithms at Columbia (2023-2024)
- MATH 4061 Modern Analysis at Columbia (2022-2023)
Projects
- YouTube Recommendation Extension
- Small Business Product Search Engine
- Many ongoing projects - reach out to collaborate!