Science & Technology Solutions

Leveraging expertise in science and technology to develop innovative, reliable, and data‑driven solutions that empower individuals and businesses to solve real‑world problems.

Approach

Our Methodology

Scientific Rigor

We apply rigorous scientific methods to ensure our solutions are based on solid evidence and reproducible results.

Data‑Driven

Our decisions are guided by data analytics and empirical evidence, not just intuition.

Innovative Thinking

We challenge conventional wisdom to develop creative solutions to complex problems.

Who We Are

Our Team

A practical team of engineers and technologists with real‑world experience.

Leadership

Experienced professionals with decades of combined experience in research and industry.

Researchers

Skilled researchers with hands‑on experience in applied science and technology.

Developers

Skilled engineers who transform research into practical, scalable solutions.

Ready to solve your challenges?

Get started

About

About Bow-Tied

Bow-Tied is a founder-led science and technology studio focused on turning complex problems into practical, dependable systems. We build solutions across healthcare analytics, AI-assisted automation, and data engineering—designed to be measurable, secure, and ready for real-world use.

If you have a workflow that’s manual, data that’s hard to trust, or insights that are stuck in spreadsheets, we can help.

• Healthcare analytics & dashboards — clear metrics and stakeholder-ready reporting
• AI automation for marketing and ops — repeatable workflows that reduce manual effort
• Data pipelines & integration — clean data, reliable sync, usable outputs

Based in Chicago and available for project work, advisory support, and collaborations.

Our Work

Projects

We develop practical solutions across multiple domains, from marketing automation to healthcare analytics.

Healthcare Data Visualization

Interactive patient data dashboard for healthcare stakeholders

Description: Built an interactive R Shiny application that transforms complex patient data into intuitive pictorial graphs and visualizations, making healthcare metrics accessible to non‑technical stakeholders.
Key Features: Interactive data filtering and exploration

Pictorial representations of patient demographics

Trend visualization for treatment outcomes

Exportable reports for clinical meetings
Status: Prototype Completed

AI Content Generator

Automated marketing content creation system

Description: An AI agent that generates complete Mailchimp campaigns from specified inputs, with capabilities for repurposing content across LinkedIn and integrating with customer databases in Google Sheets and Airtable.
Key Features: Automated Mailchimp campaign generation

Multi‑platform content repurposing

Database integration capabilities

Trigger‑based content creation
Status: Prototype Completed

Clinical Trial Synthetic Data Engine

Privacy-preserving synthetic datasets for faster, safer clinical analytics

Description: Building a synthetic data generation engine for clinical trials that mirrors real-world patient populations while protecting privacy. The system ingests SDTM-structured data, applies statistical modeling and generative AI to create realistic but non-identifiable records, and outputs analysis-ready datasets for exploratory work, model development, and training.
Key Features: Supports SDTM-like input structures for clinical trial data

Generates realistic patient-level records without exposing Protetcted Health Information

Configurable knobs for prevalence rates, treatment arms, and endpoints

Export to analysis-ready formats for downstream ADaM and BI tools
Status: In Progress

Workflow automation dashboard on a laptop

Data Collection & Analysis System

Efficient data collection and organization pipeline from local systems to structured spreadsheet databases.

Description: Developed a structured data management workflow to extract, consolidate, and analyze data information from multiple local systems. The process involved secure data transfer from on-premise computers to external flash drives, followed by transformation into organized Excel workbooks containing multiple categorized sheets for deeper insight and accessibility.
Key Features: Streamlined transfer of records from local machines to secure storage media

Standardized data cleaning and formatting for consistent analysis

Organized Excel workbooks segmented by requested variables

Exportable, ready-to-share datasets for business reporting and analysis
Status: Prototype Completed

Ready to solve your challenges?

We're always looking for partners and collaborators. Get in touch to discuss opportunities.

Get Started