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Greater Boston Area United States
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A code crafter, biological analyzer and statistical thinker who loves building great teams.
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I am a 5th year PhD candidate in the department of Biological Engineering at MIT. Over the past two years since passing my candidacy exam, I have accumulated a wealth of experience using Python to perform biological data analysis on a wide variety of data types, including immunofluorescent images, flow cytometry, and sequence data.
My thesis dissertation is on the analysis of influenza evolution at the genomic and atomic scales. I have deployed network models to show how reassortment may prime the influenza virus to jump across host species barriers (manuscript submitted). Continuing forward, I am building predictive models of influenza evolution.
I believe in using open data, open sci...
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influenza
biology
convolutional neural networks
data science
neural networks
big data
data
genomic surveillance
deep learning
biotech
biotechnology
social network
biological engineering
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