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Double majored in Biological Engineering and Mathematics at MIT.
Research interests: single-cell sequencing, genomics, cancer.
Developed REVEALER, an iterative algorithm to discover new associations between binary mutation/copy number data and functional readouts such as expression or drug sensitivity.
Analyzed neuron segmentations of electron microscopy images of rabbit retina inner plexiform layer slices and elucidated patters in interneuron size, shape, and orientation.
Using graph theory to model regulatory networks of the yeast genome, and Kirchhoff's circuit laws to model deletions in the network. Researching strain-specific essentiality of genes.
Computational Biology Internship. Developed first-ever model representing content of large protein databases using Machine-Learning Algorithms. Code written in Python and C, incorporated into HMMER 3.0 release (Eddy Lab Software)
Helped create a database of high-resolution mouse transcription factor binding motifs. Resulted in publication in Cell journal.