DAVE Science
AI-driven translational research

Scientific work, connected.

DAVE Science is a founder-led research platform that improves preclinical-to-clinical translation through literature, single-cell, computational, and AI-assisted research workflows. Its CALIBR learning module is live and open to use right now.

Open CALIBR See the platform
Live, in-browser product interface
Founder with a verifiable research record
Patent-pending discovery method
DAVE Science Workspace
DAVESingle-cellDiscoveryCALIBRLiteratureToxicology
CALIBR / LEARNING

Build an adaptive learning session

Pick a scientific topic, a depth, and a mode. CALIBR structures the session around the learner and the question.

Topic
Learning path
The platform

One environment, built around real scientific problems.

DAVE Science is organized as focused modules. CALIBR, the scientific learning module, is publicly usable today. The research modules are in active development and are described here at a high level. Internal methods, decision logic, and data structures are kept private.

Live now

CALIBR

Adaptive scientific learning and reasoning. Choose a topic, depth, and mode, and CALIBR structures a session around the concept behind the question.

Education and scientific reasoning
Research module

Single-cell analysis

An end-to-end single-cell RNA-seq pipeline that processes public GEO studies into a tiered, treatment-arm-resolved database of cell types, pathways, and gene-level changes. A corpus of 200 plus studies has been reprocessed.

scRNA-seq and functional cell states
Patent-pending

BiPOP

Bidirectional Perturbation Optimization. A method that inverts conventional screening: specify a desired biological outcome, then identify candidate perturbations most likely to produce it. Covered by an accepted provisional patent.

Discovery and perturbation design
Research module

Literature validation

An evidence-hardening layer that audits generated annotations against source data, flagging and rejecting unsupported calls before any result is reported.

Evidence grounding and integrity
Research module

Toxicology screening

A screening engine for liability and safety signals, built to sit alongside discovery so that candidate quality is interrogated early rather than late.

Safety and liability signals
Research module

ACE knowledge base

The integrated knowledge database designed to connect the modules and power the discovery workflow across evidence, data, and analysis.

Integrated knowledge layer
Live product interface

Use CALIBR now, in your browser.

This is a working interface, not a sign-up screen. It runs entirely in your browser with self-contained example content, no account and no credentials required. The full CALIBR workflow is designed to use learner-selected reasoning, vision, and image-generation models.

CALIBR Scientific Learning WorkspaceLive
Runs in-browser. No private data connected.

Cancer immunology

Advanced, Learn mode

ReasoningVisionFigures
David R. Taylor, Ph.D., founder of DAVE Science

David R. Taylor, Ph.D.

Founder and Principal Scientist
Translational Immunology Cancer Biology Single-cell RNA-seq In Vivo Pharmacology IND-stage Research Computational Biology
Founder

Built by a translational scientist.

DAVE Science is founded and built by David R. Taylor, Ph.D., a translational immunologist with a Ph.D. in cancer biology from Vanderbilt University and more than eight years of research across academia and biotech, including IND-stage work at LifeMine Therapeutics and Senda / Sail Biomedicines.

The platform grew from a practical goal: shorten the distance between finding evidence, interrogating biological data, testing scientific reasoning, and reaching a conclusion that can survive scrutiny. The computational work is built directly by the founder using modern AI coding tools, with the same standard used at the bench: a result is trusted when it reproduces known truth, survives controls, and makes scientific sense.

Verify the founder. This record is independently verifiable. Six peer-reviewed publications are listed below and searchable on PubMed. The founder's professional profile is on LinkedIn, with DAVE Science listed in the experience section.
Verify on LinkedIn Email David

Experience

Founder and Principal Scientist
DAVE Science (Remote)
Apr 2025 to Present
Scientist II, Translational Immunology
LifeMine Therapeutics, Cambridge, MA
Sep 2024 to Apr 2025
Scientist I, Translational Biology
Senda / Sail Biomedicines, Cambridge, MA
Jan 2023 to Jul 2024
Graduate Researcher, Dr. Young Kim Lab
Vanderbilt University, Nashville, TN
Aug 2016 to Dec 2022

Education

Ph.D. in Cancer Biology
Vanderbilt University, Division of Medical Sciences
Dec 2022
B.S. in Chemistry
Texas Southern University, Houston, TX
May 2012

Peer-reviewed publications

DAVE Science

Biomedical research, with scientific context at the center.

For research collaborations, technical discussion, or company inquiries, contact the founder directly.

david@davescience.ai LinkedIn profile David R. Taylor, Ph.D. Founder, DAVE Science. davescience.ai