Tessa Durakis Green

Scientific and platform leader in virtual cell evaluation and benchmarking, specializing in machine learning–driven frameworks that determine how multimodal cellular simulation and perturbation models are assessed, compared, and trusted.

I focus on building and leading cross-collaborative scientific efforts that connect computation, experimental biology, and organizational decision-making. My work emphasizes ensuring that AI and modeling efforts serve the bigger picture: what wet-lab scientists need to run effective experiments and what organizations need to make confident strategic choices.

I completed my PhD in Biophysics at Harvard Medical School, where I developed methods for single-cell transcriptomics and evaluation metrics for machine learning models applied to cellular perturbations. You can read my PhD Thesis or watch my Defense

I am currently a Machine Learning Scientist and Head of Immunoinformatics at KiraGen Bio, where I serve as the sole dry-lab scientist, responsible for end-to-end computational strategy and execution. I lead platform-level evaluation and AI strategy, partner closely with the wet-lab teams to co-design experiments, establish external computational collaborations, mentor interns, and contribute to grant writing and strategic planning.

Contact by email preferred: tessa.d.green[at]proton.me

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