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Fellowships and Grants

Fellowships

National Institutes of Health-Dartmouth Big Data to Knowledge T32 Training Fellowship, 2020

The Dartmouth NIH National Library of Medicine T32 multidisciplinary Big Data to Knowledge training program in quantitative biomedical sciences supports pre-doctoral graduate studies at Dartmouth. This program provides support for cross-training in quantitative, computational, and biomedical sciences to prepare students for a new research landscape that is increasingly characterized by complex problems, big data and multidisciplinary teams.

QBS Teaching Assistant Training Fellowship, 2019 & 2020

Administered by the Dartmouth College Program in Quantitative Biomedical Sciences to provide additional teaching opportunities for PhD students beyond the requirement.

Automata Processor Ambassadors Research Fellowship, 2016-2017

Administered by the University of Virginia Center for Automata Processing for the participation in interdisciplinary research that applies state-of-the-art processor technology to accelerate big data analytics.

Grants and Scholarships

Dartmouth Graduate Alumni Research Award, 2021

Awarded by the Dartmouth Guarini School of Graduate and Advanced Studies in support of thesis work.

Jefferson Trust Grant Recipient, 2016

Awarded by the Jefferson Trust and the University of Virginia Alumni Association to provide startup funds for a novel student organization that aids first year undergraduates in selecting their engineering major.

Society of Women Engineers Baltimore-Washington Section Scholarship, 2016

Awarded by the Society of Women Engineers for demonstrating outstanding academic achievement and strong engineering potential.

A. Thomas Young Endowed Merit Scholarship, 2016

Merit scholarship awarded by the University of Virginia School of Engineering and Applied Sciences.

Awards

3rd Place, Three Minute Thesis Competition, 2021

This competition challenges participants to present their research in just 3 minutes in an engaging form that can be understood by an intelligent audience with no background in the research area.

1st Place, Science Technology, and Society Research Category, 2018

Awarded at the University of Virginia 31st Annual Undergraduate Research and Design Symposium to the most outstanding undergraduate engineering senior thesis.