Hidden genomic features
The current Ahituv Lab profile describes my research as developing tools to illuminate hidden genomic features and uncover mechanisms for improving human health.
UCSF Ahituv Lab profileI am a PhD candidate at UCSF in the Nadav Ahituv Lab. My research focus is tool-driven functional genomics: building better ways to test genomic features that are easy to overlook but important for human health.
Publications, protocols, posters, and preprints will be added here when the details are current and appropriate to share publicly.
A concise version for collaborators, mentors, employers, and sponsors.
The current Ahituv Lab profile describes my research as developing tools to illuminate hidden genomic features and uncover mechanisms for improving human health.
UCSF Ahituv Lab profileThe scientific center of gravity is measuring function: connecting sequence, regulation, perturbation, and phenotype in ways that can guide better experiments.
Ahituv LabThe goal is to improve the experimental tools and biological context that make gene editing easier to evaluate and use responsibly.
Collaborate / contactFunctional genomics is strongest when it is described precisely. The useful version is specific: define the biological question, choose the perturbation or assay, measure the readout, and revise from evidence.
The public research anchor is functional genomics: asking which genomic features matter, in which context, and how to test that directly.
The work is about tools and readouts: perturbation, regulation, cell context, and careful measurement rather than vague claims about “innovation.”
A useful result narrows the question, exposes a weak assumption, or points toward a better experiment. That rhythm is familiar from training too.
A lot of biology depends on regulatory features, context, and measurement. Functional genomics helps test what those features do rather than only describing where they are. Gene-editing technologies become more useful when the surrounding biology is better measured and better understood.
The practical thread is careful measurement: connect genomic sequence, regulatory context, perturbation, and phenotype so the next experiment is better grounded.
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Current public affiliation and research-interest anchor for the functional-genomics work.
Open source 02 Lab contextGene regulation, regulatory elements, functional genomics, and disease-relevant mechanisms.
Open source 03 ProfileBay Area profile connecting graduate school, coaching, training, and Olympic-level goals.
Open source 04 VideoNorthern Michigan period: Greco-Roman training, school, and early biology research context.
Open source 05 Match archiveArchived matches and results. Link out rather than copying footage or screenshots without licensing.
Open source 06 CommunityNonprofit work around combat sports, academic support, standards, and community.
Open sourceUse the contact form for collaborators, mentors, employers, and science-related conversations.