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Keystone BioInsights

Keystone BioInsights

We believe drug discovery teams are generating more data than ever, but making sense of it remains one of the industry’s biggest challenges.

Keystone BioInsights helps teams turn fragmented data into a coherent picture and make confident decisions.

What we do

What Keystone BioInsights does

We help teams working with scientific data discover new insights through better experiments, clearer analysis, and connected evidence.

Keystone BioInsights helps drug discovery teams, IP professionals, and AI developers work with complex biological evidence. We provide custom research and analysis across multi-omics and biomarker discovery, translational biomarker validation, and therapeutic antibody patent analysis.

We are also developing internal platforms that make complex scientific information easier to find, compare, and use. Our first platform is ARCH, a proprietary antibody research platform that connects sequences with their biological, functional, and clinical context. ARCH is intended as a resource for antibody discovery scientists and AI developers who need well-curated training data.

Our Team

Start a conversation

Let’s talk about what you’re working on.

01

Discuss a custom project

Tell us about a multi-omics and biomarker discovery, translational biomarker validation, or therapeutic antibody patent analysis question you would like to explore.

Explore custom services

02

Discuss ARCH

Learn how Keystone is building an internal platform to prioritize and connect antibody data for drug discovery and AI training.

Learn about ARCH

03

Share your experience

Tell us about the evidence questions that slow therapeutic antibody discovery or create uncertainty.

Dave Hauser

Founder

Dave Hauser, PhD

Dave Hauser is the founder of Keystone BioInsights. He is a drug discovery scientist and program leader with nearly 20 years of experience spanning academic and federal research, biotechnology startups, and mid-sized biopharma. His work has included therapeutic antibodies, neuroscience, biomarkers, phenotypic screening, and multi-omics.

At the National Institutes of Health, Dave worked in the Laboratory of Neurogenetics on proteomic and RNA-seq studies of Parkinson's disease models. He combined hands-on experimental biology with custom analysis of large datasets and contributed to one of the earliest published RNA-seq studies of the mouse brain.

At Versapeutics, Dave led therapeutic antibody programs for Alzheimer's disease and spinal cord injury and led the development of the first patent application for the company's RYK antibody program. He was an architect of the company's SBIR strategy and was awarded the company's first grant prior to departing. After his departure, the company continued to raise SBIR funding totaling more than $6.5 million to advance the RYK antibody project. His work on the RYK patent sparked an interest in the scientific information embedded in antibody patents and the possibility of organizing it systematically, an idea that eventually became the foundation for ARCH.

At Neurocrine Biosciences, Dave led cross-functional small-molecule and therapeutic antibody programs in neurology while developing cell-based pharmacology models to evaluate both modalities. He integrated biomarker and multi-omics evidence into indication selection and program strategy, built the company's first RNA-seq database, and led its first high-throughput imaging-based phenotypic screen.

Across these roles, Dave repeatedly saw how difficult it was to turn scattered scientific information into a clear basis for drug discovery decisions. That experience shaped the approach he is now building at Keystone BioInsights.

Dave received his PhD in Neuroscience from Brown University.

Mark Wilson

Structural Biology

Mark Wilson, PhD

Mark Wilson is Professor and Associate Head of the Department of Biochemistry at the University of Nebraska-Lincoln, where his laboratory uses structural biology to study enzyme catalysis, redox biochemistry, and protein regulation.

Mark is an expert in cysteine reactivity. His laboratory has developed structurally grounded methods for modulating cysteine reactivity by engineering amino acids that interact directly with the cysteine environment. His research also advances time-resolved structural methods at synchrotrons and X-ray free-electron lasers.

Mark serves as Editor-in-Chief of Structural Dynamics and has published nearly 100 peer-reviewed articles.

Mark received his PhD in Molecular Biophysics and Biochemistry from Yale University.

Allissa Dillman

Computational Biology

Allissa Dillman, PhD

Allissa Dillman is a computational neuroscientist and the founder and CEO of BioData Sage. Her work spans transcriptomics, RNA biology, bioinformatics, and the development of practical biomedical data-science workflows.

At the National Institutes of Health, Allissa conducted RNA-seq studies of gene expression, splicing, and RNA editing in brain tissue. She later led workforce development and community engagement for the NIH Office of Data Science Strategy.

Allissa has designed and taught advanced RNA-seq and next-generation sequencing programs, led collaborative biomedical codeathons, and developed public resources that help researchers use data science, open science, and cloud computing.

Allissa received her PhD in Neuroscience from Karolinska Institutet.

Tracy Charlton

Antibody Discovery

Tracy Charlton, PhD

Tracy Charlton is an antibody discovery and protein engineering scientist with more than three decades across academia, GNF/Novartis, and AlivaMab Discovery Services.

During 15 years at GNF/Novartis, Tracy led antibody programs in oncology, immunology, and metabolic disease, advancing two projects to IND. She established its mRNA immunization platform and developed campaigns against challenging targets, including GPCRs, using hybridoma technology, phage display, next-generation sequencing, and humanization.

At AlivaMab, Tracy led up to 14 concurrent programs. She designed high-throughput functional screens using the AlivaMab Mouse and helped establish NGS-enabled discovery and bispecific-antibody platforms.

Tracy received her PhD in Genetics, Cell Biology, Molecular Biology and Biochemistry from the University of British Columbia.

Customer discovery

Therapeutic-antibody evidence workflow survey

Keystone is learning where evidence-gathering work slows therapeutic-antibody decisions and what researchers would find valuable enough to obtain externally. Please do not include confidential molecule, program, company, or client information.

This local review form does not transmit or store responses.

01 Which function best describes your work?
02 How often does your work require you to combine therapeutic-antibody evidence from multiple sources?
03 Which sources or evidence types are commonly involved?

Select all that apply.

04 For a substantial question, how much team time is typically spent finding, checking, and reconciling the necessary information?
05 Where does the work create the most difficulty or uncertainty?

Select all that apply.

06 What are the consequences when this evidence is slow or difficult to reconcile?

Select all that apply.

07 Which work, if any, would you consider outsourcing to a qualified scientific partner?

Select all that apply.

08 What would make an externally prepared analysis useful inside your organization?

Select all that apply.

09 What level of external spend could be reasonable for a well-scoped project that replaces substantial internal effort?
10 What is one therapeutic-antibody information task you wish were easier, faster, less expensive, or more reliable?
Optional follow-up

Production survey routing, retention, and privacy language will be reviewed before launch.