- Leveraged a variety of techniques from deep learning, traditional machine learning, and statistical analysis to solve problems in the public interest, often focusing on healthcare- Co-authored and presented abstract on the use of machine learning to detect obstructive coronary artery disease from PET scans of the heart at the Society of Nuclear Medicine & Molecular Imaging 2021 Annual Meeting

• Identified and analyzed key states of opioid use across NH residents using medical and prescription insurance claims (in Python and SQL)• Built visualizations to communicate findings to stakeholders• Derived physician specialty based on diagnosis and procedure codes using topic modeling (LDA)• Created novel metrics for evaluation of the topic model

• Worked in Ruby on Rails and Angular2 to develop and maintain internal and client facing web applications, each critical to the company’s managed cloud services. • Expanded and supported global cloud supplier integration (including Amazon, Google, Azure, and Alibaba) by building out internal APIs, creating new views, developing and maintaining internal mailer reports.• Wrote RSpec tests for all new code.

Psychiatric researcher in neuroimaging lab investigating structural and functional biomarkers of schizophrenia and bipolar disorders• Wrote Python program to simplify and streamline lab wide manual MRI editing/preprocessing. The program helps the lab meet weekly and monthly preprocessing quotas by tracking editing process; it streamlines communication within the lab by integrating supervisor feedback to editors.• Wrote Python program to facilitate efficient large batch preprocessing of MRI images and maintain database organization. The lab consistently relies on this program to speed up processing of new datasets.• Debugged and implemented Bash DTI preprocessing pipeline, used on ongoing basis to prepare images for analysis of brain’s white and grey matter.• Contributed to preliminary analysis of imaging data in R.• Coauthored academic article published in Biological Psychology (May 2017)• Presented research at Harvard Psychiatry Research Day Poster Session (April 2017).• Solved Linux software issues and install and update new software packages.

• Increased tweet impressions by 71%; Gained 91% more Twitter followers.• Researched and evaluated sector based conferences, networking organizations, and architectural awards. Composed award submission.• Optimized and implemented Cosential CRM platform to track business development leads.• Organized and executed architectural photo-shoot. Edited images for use in marketing material.

HipDaddy (hipdaddy.com) is a lifestyle brand with the mission to inform, connect, and empower the modern dad. As a marketing and content intern at this start up, I worked with the company's founder to brainstorm, research, and write contributions to the brand's online content. I helped recruit innovative, noteworthy fathers to participate in the publication's weekly spotlight feature, growing the brand's network of inspirational, hip dads.