Chandana Rajesh
Graduate Student Researcher In Peter Koo Lab
Town of Brookhaven, New York, United States
Summary
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Senior🎓
Top SchoolChandana Rajesh is a Ph.D. candidate in Applied Mathematics and Statistics specializing in computational biology, with eight years of experience applying interpretable machine learning to genomic data. Based at Cold Spring Harbor Laboratory, she develops hybrid convolution-transformer models and a novel model selection framework to produce reliable attribution maps and uncover higher-order cis-regulatory elements. Her methods include correcting off-simplex gradient noise and optimizing architectures for single-cell chromatin accessibility, yielding a 20% improvement in prediction performance. She also teaches quantitative biology topics, blending hands-on Python and statistics instruction with advanced ML and genomics concepts. Combining wet-lab experience from genetic screens with deep learning expertise, she bridges experimental and computational approaches to make biological models both accurate and interpretable.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics and Statistics | Computational Biology, Doctor of Philosophy - PhD, Applied Mathematics and Statistics | Computational Biology at Stony Brook University Graduate SchoolBachelor of Science - BS, Biology | Computer Science, Bachelor of Science - BS, Biology | Computer Science at Stony Brook UniversityProgramming languages (1)
Github contributions (5)
crajesh6/acme
Jul 2022 - Oct 2022
Contributions:1 release, 28 commits, 16 pushes in 3 months
crajesh6/biccn
Jul 2021 - May 2022
Contributions:6 commits, 5 pushes, 1 branch in 10 months
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