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- title: "Scientific Data Analyst, Deloitte Consulting LLP" | ||
description: "Led a team of five to perform data analysis for IRS change management across ten work streams." | ||
- title: "Researcher" | ||
company: "University of California, Berkeley, Bouchard & Deweese Labs" | ||
location: "Berkeley, CA" | ||
date: "Nov 2022 – Present" | ||
description: | | ||
- Introduced NeuroSA, a neuromorphic architecture for optimization problems in QUBO and Ising models. | ||
- Created metrics for assessing I/O complexity in biological neurons, with potential applications in neuromorphic engineering. | ||
- Mentored two undergraduate researchers in data science methodologies and scientific communication. | ||
- title: "Researcher" | ||
company: "Stanford University, Currie Lab" | ||
location: "Stanford, CA" | ||
date: "May 2022 – Present" | ||
description: | | ||
- Developed an Expected Opportunities System (EOS) for fair organ allocation, addressing ethical challenges in transplantation. | ||
- Conducted comparative studies of existing systems, proposing improvements for equitable organ distribution. | ||
- Investigated donor-recipient sex mismatching effects, leading to policy recommendations for improved patient outcomes. | ||
- title: "Scientific Data Analyst" | ||
company: "Deloitte Consulting LLP" | ||
location: "Rosslyn, VA" | ||
date: "Sep 2018 – Jun 2021" | ||
description: | | ||
- Led a team of five to perform data analysis for IRS change management across ten critical work streams. | ||
- Designed and implemented a Neo4j-based graph representation of DHS data to evaluate national infrastructure risk. | ||
- Developed a machine learning pipeline for the Ohio Department of Health to analyze and predict trends in the opioid epidemic. | ||
- Applied natural language processing techniques to identify market opportunities for a close-hold search platform. | ||