About us

Our mission is to scale explanatory medical knowledge to support better decisions, research, and care provision.

Over time, this enables a learning health system where science, practice, and outcomes are more readily connected — collapsing the knowledge cycle.

Our team

Evidium is built by a multidisciplinary team of engineers, scientists and clinicians with deep experience across healthcare, AI and applied research.

Carl Bate
Founder and CEO
Wian Stipp
Lead ML Research Engineer
Matt McSorley
Lead Software Engineer
Rajiv Sood
General Manager, Insurance & Risk
Melinda Alba, MD
Chief Medical Officer
Jackie Kapur
Strategic CFO
Bob Rogers, PhD
Chief Scientific Advisor
John Harland
VP Finance & Operations
Arnav Saxena
ML Research Engineer
Ashwini Mathai, MD
Clinical Knowledge Engineer
Astarag Mohapatra
ML Research Engineer
Daniel Ariad, PhD
Applied Scientist
Hanna Roman
Lead Clinical KnowledgeEngineer
Jinghua Ou
Senior Staff Software Engineer
Lesley Beard, MD
VP Clinical Innovation R&D
Max Bailey
ML Research Engineer
Michael Zheng
Applied Scientist
Priyank Pandey
Head of Business Development, Health Plans
Saksham Arora
Applied Scientist
Sarah Shurick
Clinical Knowledge Engineer

Advisors

Mark Graber, MD
Chief Medical Advisor
Edmund Pezalla, PhD, MD
Insurance Advisor
M Christine Stock, MD
Medical Advisor
Michelle S. Keller, PhD
Scientific Advisor
Victor Jakubiuk
Technology Advisor
Thomas F. Unger, PhD
Strategy Advisor
Kevin Knopf, MD
Clinical Research Advisor

Board

Carl Bate
Founder & CEO, Evidium
Lawrence K. Cohen, PhD
CEO Health2047
Herb Madan
WGG Partners
James L. Madara, MD
CEO Emeritus American Medical Association

Investors

Evidium is backed by investors specializing in both the science and practice of medicine and frontier technology. Our investors include Health2047, the venture studio of the American Medical Association; WGG Partners, a specialist deep tech fund with early-stage backing of x.AI and Perplexity; PGV, Interwoven Ventures and Mindset Ventures - plus multiple other specialist funds and individuals.

Join the team building Computational Medical Intelligence