Towards reliable viral mutation effect prediction for pandemic preparedness

Sarah Gurev is a FutureHouse AI-for-Science Independent Postdoctoral Fellow, co-advised by Sergey Ovchinnikov and Aaron Schmidt. She recently completed her PhD in Electrical Engineering and Computer Science at MIT in Debora Marks lab. She develops machine learning models to address unmet needs in virology and immunology, with an emphasis on pandemic preparedness and therapeutic development. Her research spans viral evolution and function, precision-engineered vaccine design, viral-host interactions, and immune receptor modeling.