SCIENTIFIC CONSULTING

AI, data analysis
& assay development.

We help research teams design experiments, develop assays, analyze data, and build computational tools. Support for a focused technical question or a broader research program.

Discuss a project

Oakland, California · Remote consulting

Cream and lavender Linanthus flowers with fine green foliage on a dark forest-green background.
LINANTHUS PARRYAECalifornia wildflower
AI & modelingAssay developmentData analysisExperimental design

01 / WHAT WE DO

Services & expertise

Support for companies, research groups, and organizations that need scientific or technical expertise. Projects can include a custom tool, an experimental plan, a detailed analysis, or continued support for a research program.

01

AI & modeling

Develop and evaluate models for prediction, simulation, and scientific research.

  • Predictive models. Machine learning for scientific datasets, including molecular properties and biological measurements.
  • Model evaluation. Compare approaches, benchmark performance, and assess uncertainty and limitations.
  • Experiment prioritization. Use active learning to guide experiments and generative models to explore molecular candidates.
  • Scientific simulation. Quantum chemistry and mathematical models for molecular, transport, reaction, and biological systems.
  • PyTorch
  • TensorFlow
  • JAX
  • COMSOL
Example deliverables

Feasibility assessment, model benchmark, trained prototype, prioritized experiment list, or documented simulation.

02

Assay development

Support the design, optimization, and interpretation of cell-based, biochemical, and molecular assays.

  • Cell-based assays. Plan assays for biological activity, target evaluation, pharmacology, and mechanism-of-action studies.
  • Biochemical measurements. Binding assays, enzyme kinetics, affinity measurements, and IC50 analysis using ELISA, SPR, and BLI.
  • Molecular & immune readouts. Studies using RT-qPCR, NGS, flow cytometry, immunophenotyping, and cytokine measurements.
  • Workflow optimization. Troubleshoot assay performance and plan automation for liquid handling, screening, and library preparation.
  • Prism
  • FlowJo
  • Biacore
  • Octet
Example deliverables

Assay development plan, optimization strategy, troubleshooting assessment, acceptance criteria, or interpretation of assay results.

03

Data analysis & software

Analyze experimental and computational data, and develop tools for repeatable analysis and reporting.

  • Data preparation. Organize, curate, and review datasets for quality before analysis.
  • Analysis & visualization. Investigate patterns, compare results, and communicate findings with clear figures and reports.
  • Custom software. Tools for scientific analysis, including molecular properties, spectroscopy, metabolomics, and image data.
  • Workflow automation. Connect data management, processing, model training, and reporting to reduce repetitive work.
  • Python
  • MATLAB
  • Data visualization
  • Workflow automation
Example deliverables

Analysis report, custom software tool, reproducible processing pipeline, automated report, or documented code with handoff.

04

Experimental design & research support

Plan studies, coordinate research partners, and interpret evidence across a scientific program.

  • Experimental planning. Define research questions, select approaches, and establish study priorities and decision criteria.
  • Screening strategy. Guide DNA-encoded library, mRNA display, and macrocyclic peptide discovery workflows.
  • External study oversight. Coordinate CRO work, review data quality, troubleshoot studies, and interpret results from cell and tissue models.
  • Program support. Connect findings across disciplines, advise research teams, and communicate recommendations.
  • Study design
  • DEL screening
  • mRNA display
  • CRO oversight
Example deliverables

Experimental plan, screening strategy, external study scope, data-review report, or ongoing scientific guidance.

02 / HOW WE WORK

Project scope
and delivery

The scope, timeline, and deliverables are agreed before work begins. We can support a defined project or provide ongoing technical advice.

  1. 01

    Define the scope

    Review the scientific question, existing methods, available data, and constraints. Agree on the work, timeline, and deliverables.

  2. 02

    Develop and review

    Develop the analysis, model, assay plan, or study design. Review results together and document assumptions, limitations, and next steps.

  3. 03

    Deliver and hand over

    Provide the agreed analysis, code, protocol recommendations, or research plan, with documentation and a review of the results.

03 / BACKGROUND

Research experience

Our background combines doctoral training in cell biology and chemical engineering with research and leadership experience in biotechnology, national laboratories, and academia.

That experience includes cell-based and biochemical assays, pharmacology, and screening, alongside machine learning, computational chemistry, and scientific software. We bring experimental and computational perspectives to study design, data interpretation, and research planning.

Consulting and technical project work
Based in Oakland, California. Available for remote collaboration and occasional on-site work by arrangement.

CONTACT

Discuss a project

Tell us about your research question, the experimental or computational support you need, and your timeline.

Email Linanthus Labs

Please keep the initial message general.
Confidential materials can be shared after appropriate agreements are in place.