Leveraging evolution to engineer biology

We're testing an evolution-based drug discovery model
with an iterative loop of computational prediction
and experimental validation.

Target identification

Mining billions of years of evolution to systematize target discovery

We integrate across evolutionary scales to identify the causal bases of biological traits.

Model selection

Improving outcomes by picking useful research organisms

We're applying our platform to match disease biology with the most human relevant organisms.

Biologics design

Designing proteins from evolutionary principles

We develop statistical models to predict fitness and function. Our closed loop lets us experimentally test predictions and iterate on our models.

Technology development

Building assays and tools to test our predictions

We're developing and deploying organism-agnostic tools to investigate disease mechanisms.

Target identification

Mining billions of years of evolution to systematize target discovery

We integrate across evolutionary scales to identify the causal bases of biological traits.

Model selection

Improving outcomes by picking useful research organisms

We're applying our platform to match disease biology with the most human relevant organisms.

Biologics design

Designing proteins from evolutionary principles

We develop statistical models to predict fitness and function. Our closed loop lets us experimentally test predictions and iterate on our models.

Technology development

Building assays and tools to test our predictions

We're developing and deploying organism-agnostic tools to investigate disease mechanisms.

We publish our work and release open-source tools and resources for the scientific community.

Use our tools

Check out our latest research

idea05 Feb 2026

Biology needs to become prospective

Since biological data are often non-independent, more data doesn't always mean more insight. We argue that a prospective approach is needed to uncover the deepest principles of life.

Read now

perspective05 Feb 2026

Strategizing the search for bio-utility: A framework for evolution-integrated _in silico_ bioprospecting

To accurately and efficiently identify instances of useful biological variation, we must establish an evolution-integrated bioprospecting framework. This will enable us to better interpret biological datasets and direct future sampling efforts to solve societal challenges.

Read now

dataset04 Feb 2026

Coherent Raman imaging of live, unfixed _Schizosaccharomyces pombe_ and mutants _dea2_ and _pdf1_

We acquired single-cell coherent Raman microscopy data (SRS and CARS) from wild-type fission yeast and two mutants. Our aim was to collect spatially resolved biochemical data on living yeast cells. We’re sharing the data and code for others to visualize and explore it!

Read now