Sarah Gurev, PhD
Sarah Gurev is a FutureHouse AI-for-Science Independent Postdoctoral Fellow. She was named as TIME’s top 100 most influential people in AI in 2024 based on her PhD work in Electrical Engineering and Computer Science at MIT in Debora Marks lab (Harvard Medical School). Sarah develops computational protein design models to address unmet needs in infectious disease and immunology, with an emphasis on pandemic preparedness and therapeutic development. She created EVEscape, a machine learning model that forecasts viral evolution from evolutionary information available at Day Zero of an outbreak, and applied it to real-time surveillance of SARS-CoV-2. She has also developed novel approaches for future-protective vaccine evaluation and design. Her postdoctoral research with Sergey Ovchinnikov (MIT) and Aaron Schmidt (Ragon Institute) now involves viral-host protein interaction models for spillover risk prediction. She will pursue work spanning viral evolution and function, precision-engineered vaccine design, host-pathogen interactions, and immune receptor modeling, with a vision of shifting infectious disease control from reactive response to proactive prediction.
Details
Audience
Gladstone and UCSFContact(s)
Diversity, Equity, and Inclusion
At Gladstone, we are committed to providing events and professional development activities that resonate with our community’s diverse members. Our goal is to develop creative programming that encompasses a wide variety of ideas and perspectives to inspire, educate, and engage with everyone within our walls.
We want to effect positive change through our events and activities by providing a platform for discussions on important topics related to increasing diversity and inclusiveness in the sciences.