Kevin Timms, PhD

Startup founder. New dad. Healthcare data scientist.


About

I’m on a mission.

I aim to ensure that AI doesn’t just sell things, represent just one voice, or think like just one community.

I’m pursuing that goal with Tea Leaf Health. Our platform connects patients to new care options through non-traditional data, Anti-biased AI, and community-building. To keep things fun, I’m sharing my learnings along the way.

Fastest way to reach me is via DM on Linkedin.


Projects

  • Thought leadership: Using new data + AI to truly meet patients where they are

    Grassroots patient engagement at scale thanks to Anti-Biased AI

    Newsletter sharing info + tips for getting through surrogacy as an Intended Parent

    Single-service cold brew kits.
    Bold & balanced. Cardamom / coconut flavors

    Get what I needed early on: Affordable career coaching in health tech, patient data, & foundership.


Work Experience

2022 – Now

Founder & CEO

Connecting Life Science + digital health companies with patients not being activated by ads.

AI-enabled grassroots patient engagement.

How we help:

  • Life Science + digital health companies reach new patients not being activated by ads
  • Our proprietary platform optimizes impact + speed of a trusted message through trusted messengers
  • Non-traditional data surfaces communities most ready-to-activate
  • Non-traditional data + our Health Equity AI surface opportunities to connect specific patient communities with new care options
  • Expert patient advocates support ongoing grassroots relationships + care equity

2021 – 2023

Director of Data Science

Prototyped, validated, + PM’d patient engagement tools for the PBM and Pharmacy Navigator business.
  • Automated pharmacy benefit savings calculations
  • Medication adherence models
  • Predictive Rx utilization risk models
  • Early patient/PBM-member chatbots

2017 — 2020

Director of Data Science

Technical lead on Real World Data consulting team

Real World Center of Excellence

  • Team lead for technical needs assessments to define feature requirements for large pharmaceutical and Patient Advocacy Group clients
  • Independently piloted new data science products for registry DQ models and other registry analytics
  • Mentored early career health data analysts

2018 – 2020

Data Science Manager

Models + tooling to scale Real World Evidence studies + data structuring for EMR data registries
  • Led the Real World Evidence feasibility team
  • Developed company-wide strategies and resource requirements for growing data science capabilities; grew the data science team from 2 to 9; managed 5 additional biostatisticians
  • Deployed algorithms to make Real World Evidence consulting projects repeatable for major Life Science clients
  • Developed/deployed NLP algorithms to structure ophthalmological patient endpoints on >4B records
  • Independent Contributor on GUID, patient matching, DQ, and ophthalmology analytics projects

2009 – 2018

Contact or see my LinkedIn profile.


Education

2010 – 2014

PhD, Biological Design

School of Biological & Health Systems Engineering

Arizona State University

2005 – 2009

BS, Chemical Engineering

University of Dayton