Meet the team
FutureHouse brings together experts across disciplines to scale scientific research and accelerate the pace of discovery.
FutureHouse Fellows
The FutureHouse Fellowship program supports recent PhD graduates who chart their own scientific paths at the intersection of AI and science.
2025 Cohort
Sarah Gurev
Sarah is a machine learning researcher specializing in protein design and virology.
Philine Guckelberger
Philine is a molecular biologist fascinated by 3D genome architecture and epigenomic regulation.
Laura Luebbert
Laura is a computational biologist specializing in machine learning methods for infectious disease discovery and triage.
Chenghao Liu
Chenghao is a chemist and machine-learning scientist working at the interface of molecular design and emergent physical properties.
FutureHouse Fellows
The FutureHouse Fellowship program supports recent PhD graduates who chart their own scientific paths at the intersection of AI and science.
Andrew Lu
Andrew is closing the loop between AI-driven design and experimental validation to accelerate the discovery of programmable therapeutics. These therapies will expand how cells sense, compute, and act inside the human body.
Soojung Yang
Soojung will build machine learning models that unify protein structure, thermodynamics, and kinetics, and deploy agentic AI to search variant space and enable biochemistry-informed protein optimization.
Jeremy Koob
Jeremy will develop and integrate AI agents into protein design workflows to accelerate the discovery of biocatalysts for sustainable chemistry.
Alexander Starr
Alex will use AI scientists to massively expand the scope and scale of these evolutionary genomics analyses, with the goal of uncovering the genetic basis of behavioral adaptations and neurological disease across the mammalian tree of life.
Hanqing Liu
Hanqing will build AI-driven frameworks that integrate large-scale single-cell and functional genomics datasets to reconstruct the regulatory architecture of psychiatric disorders and generate mechanistic hypotheses at scale.
Sarah Gurev
Sarah is a machine learning researcher specializing in protein design and virology.
Philine Guckelberger
Philine is a molecular biologist fascinated by 3D genome architecture and epigenomic regulation.
Laura Luebbert
Laura is a computational biologist specializing in machine learning methods for infectious disease discovery and triage.
Chenghao Liu
Chenghao is a chemist and machine-learning scientist working at the interface of molecular design and emergent physical properties.
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