Sophia Tang — SPARQNOW

At-a-Glance

Third-year undergraduate student at the University of Pennsylvania, pursuing a dual degree in computer science and statistics.
Conducts research at the intersection of machine learning and biological discovery, including AI4Science and Generative Modeling.
Develops theoretical ML frameworks as part of the Chatterjee Lab.
Designs lipid nanoparticle (LNP)-based delivery vehicles to transport mRNA across the blood-brain barrier with the Mitchell Lab.
Writes technical guides on advanced deep learning models for biology in her blog, Alchemy Bio.

Biography

Sophia Tang is a third-year undergraduate student at the University of Pennsylvania, where she is pursuing a dual degree in computer science and statistics through the Jerome Fisher Program in Management & Technology. Her academic and research focus lies at the intersection of machine learning (ML) and biological discovery, with a particular emphasis on AI4Science and Generative Modeling.

Tang is actively involved in research within two labs at UPenn.