Etty Soto

Ph.D. candidate in bioengineering with in progress publications on LNP and adjuvant design with use of machine learning, vaccine formualtion, and PBPK modeling.

About

I am a bioengineering PhD student at the University of Pennsylvania, with a focus on developing innovative vaccine delivery platforms, with a focus on utilizing machine learning. My research combines expertise in lipid nanoparticle (LNP) formulations, mRNA technology, and computer science to optimize vaccines for mucosal delivery, aiming to create accessible and effective solutions for global health challenges. With a background in chemistry, molecular engineering, computer science and immunoengineering, I am passionate about advancing scientific knowledge while addressing critical gaps in vaccine technology, especially for low-resource settings.

Education

B.S, Molecular Engineering / March, 2023

Chicago, Illinois, United States of America

University of Pennsylvania

Ph.D, Bioengineering / May, 2027 (anticipated)

Philadelphia, Pennsylvania, United States of America

University of Chicago

B.A., Chemistry / March, 2023

Chicago, Illinois, United States of America

Experience

Applied Materials

Assay Development Intern / June, 2022 — September, 2022

Optimized an assay for multiplex single-cell RNA spatial analysis.

OpenAi

Contributer / March, 2023 — March, 2024

Trained models in topics ranging from programming languages (such as Python, SQL, Swift) to biology, math, and chemistry.

Healthy Amplified

Product Analyst / October, 2020 — February, 2021

University of Chicago

PME Researcher / September, 2022 — June, 2023

CAR-T engineering research

University of Chicago

BSCD Epigentics Fellow/Researcher / June, 2021 — June, 2023

Working with neuroblastoma cell lines, attempting to downregulate oncogenic expression via insertion of insulation elements into the genome.

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