PhD Student at Weill Cornell Graduate School of Medical Sciences
New York, New York, United States
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Summary
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Austin Varela is a computational biologist and PhD student with 12 years of experience developing methods to dissect cellular heterogeneity, currently conducting single-cell cancer transcriptomics research at Weill Cornell Medicine and Memorial Sloan Kettering. He blends rigorous academic training (BS in Computational Biology and Data Science, MS and PhD work in Computational Biology & Medicine) with applied tool-building, having led the popular Discord4J open-source project for nearly a decade. Austin’s work spans machine learning for dimensionality reduction (including deep autoencoders for metabolomics) and evolutionary-rate approaches to identify clinically relevant interactions, showing comfort across algorithm development and large biological datasets. Based in New York, he also contributes as a graduate teaching assistant, translating complex dynamic models in biology into practical learning for students.
12 years of coding experience
6 years of employment as a software developer
High School Diploma, Advanced Regents Diploma With Honors Distinction, High School Diploma, Advanced Regents Diploma With Honors Distinction at Eleanor Roosevelt High School
Bachelor of Science - BS, Computational Biology, Bachelor of Science - BS, Computational Biology at University of Rochester
Doctor of Philosophy - PhD, Computational Biology & Medicine, Doctor of Philosophy - PhD, Computational Biology & Medicine at Weill Cornell Graduate School of Medical Sciences
The collection of scripts used to manage our server
Contributions:60 commits, 1 PR, 52 pushes in 1 year 11 months
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Austin Varela - PhD Student at Weill Cornell Graduate School of Medical Sciences