About

Drug development has a gambling problem

Developing a single new drug costs $2.6 billion and takes 12.5 years. Almost all of the drugs that do make it to clinical trials fail, even after rigorous animal testing. The odds of clinical trial success are the equivalent of betting on a single number in roulette, with a 97.3% chance of losing. But despite this colossal failure rate, pharma hasn’t changed its process for creating and testing drugs in 90 years. Pharma keeps placing the same bad bet on animal models, and patients are left to pay the price.

We founded Parallel Bio to solve the real reason why drugs fail.
Our first achievement was the development of the world’s first scalable human immune organoid, designed to capture the human biology that animal models miss. Since then, we’ve reimagined the entire drug discovery process, incorporating cutting edge biological and computational tools to generate unprecedented insights into human health and disease. Our approach allows us to predict how therapies may perform across diverse patient populations, enabling earlier and more reliable decisions than any existing preclinical model. 

Our biobank features over 170 donors spanning different ages, sexes, ethnicities, disease states, and genetic backgrounds. With more population diversity than many clinical trials achieve, we generate meaningful data without putting a single patient at risk. When we collect data, we're not asking, "Does this drug work in genetically identical male mice?" We're asking, "How does this drug perform across the actual human population?"
By shifting drug development from guesswork to human-first prediction, we aim to dramatically reduce clinical failures and bring safer, more effective therapies to patients in need. Our new model of pharma will generate medicines for patients 10x faster at a thousandth of the cost, unlock the potential for personalized medicine in ways not previously possible, and generate compounding data rich for modeling and learning in this new era of computational intelligence.
Join us as we push the boundaries of what's possible.
Robert & Juliana

Co-Founders of Parallel Bio

Meet the team

Bringing together immunotherapy, data science, bioengineering, and drug discovery experts.

Juliana Hilliard

Co-Founder & Co-CEO

Robert DiFazio

Co-Founder & Co-CEO

Victor Carriere

Associate Scientist

Kelly Volk

Associate Scientist

Mary Clare McFadden

Head of Talent Acquisition

Hector Santiago Alvarez

Research Associate

Amber Xue

Scientist

Belinda Chin

Staff Software Engineer

Amanda Merkelson

Head of Biobanking

Michael Paolucci

Lead Principal Automation Engineer

Aleth Gaillard

Scientist

Aaron Jaynes

Research Associate

Tom Kruitwagen

Director, Stem Cell Biology

Sophia Pete

Associate Scientist

Sierra Collins

Scientist

Jason Habbley

Principal Software Engineer

Jennifer Lee

VP of Finance and Operations

Jay Jackman

Senior Software Engineer

Robin Whitmore

Lead Product Manager, Automation

Yi-Jang Lin

Senior Scientist

Shona Cronin

Scientist

Amr Aly

Senior Software Engineer

Miriana Dardano

Scientist

Teddy Lam

IT & Security Lead

Ally Gablin

Sr. Automation Scientist

Fatima Al-Naimi

Research Associate

Sean Corbett

Sr. Computational Biologist

Join our team!

Our Advisors

Darrell Irvine

Bioengineering
Professor and Vice-Chair, Department of Immunology & Microbiology, Scripps Research

Nima Aghaeepour

Data Science
Vice Chair of Research, Professor of Biological Data Science, Stanford

Shane Crotty

Immunology
Professor and CSO, La Jolla Institute for Allergy and Immunology

Andre Esteva

AI + Data
CEO and Co-Founder of ArteraAI, ex-Head of Medical AI at Salesforce

Ron Philip

Strategy
Former CEO of Orbital Therapeutics, former CEO of Spark Therapeutics

Our Investors