Zinara
Company

Embedding AI into oncology's hardest decisions

Zinara exists to reduce complexity, increase clarity, and help more patients receive the right treatment at the right time.

Our mission

Make precision oncology actionable—by translating fast-moving evidence into trustworthy, explainable, patient-specific insights.

AI-powered precision Clarity at scale Clinically integrated

What we believe

Technology should support clinicians—not replace them. Zinara is designed to strengthen clinical confidence with transparency and usability.

Truth over hype

Explainable reasoning, traceable evidence, and explicit tradeoffs, so that every output can be understood and defended.

Design for workflow

Built to handle time pressure, uncertainty, and multidisciplinary decision making - without breaking workflow.

Clarity empowers patients

We translate complex oncology decisions into clear, umambigous language, without losing clinical meaning and nuances.

Institutional grade security

Architected for Privacy, access control, and auditability—because trust matters.

Our Team

A team bringing together oncology expertise and production-grade AI engineering.

Team member headshot
Oncology

Jameel Muzaffar, MD

Oncology • Translational Research

Builds clinical alignment, evidence standards, and workflow integration.

Bio
  • Medical oncologist and clinical investigator at Case Comprehensive Cancer Center, with deep experience in leading and designing clinical trials in precision oncology.
  • Physician, founder with advanced experience across leading academic medical centers, focused on applying AI to improve accuracy, personalization, and decision-making in cancer care.
Team member headshot
Oncology

Shahla Bari, MD

Oncology • Translational Research

Builds clinical alignment, evidence standards, and workflow integration.

Bio
  • Medical oncologist and physician scientist at Case Comprehensive Cancer Center with focus on GU Oncology.
  • Physician scientist, founder, with translational experience in drug development and cancer metabolomics, applying AI to integrate multi-omics datasets and accelerate clinically relevant discovery.
Team member headshot
AI

Ahmad Haider, PhD

Artificial Intelligence • Data

Guides personalized and clinically accurate and responsible AI and data solutions.

Bio
  • AI and data leader with experience building scalable AI solutions in healthcare domain acclerating drug discovery and improving patient experience
  • Led AI and Data organizations at Vetex Pharmaeuticals, Cotiviti, Honeywell etc. Alumni of Stanford GSB, Georgia Institute of Technology, and IIT Kharagpur.
Team member headshot
AI

Beenish Jameel, MS

Artificial Intelligence • Engineering

Builds scalable AI extraction, reasoning, and evaluation solutions.

Bio
  • Machine learning engineer focused on building healthcare products powered by cutting edge Generative AI and machine learning research.
  • Led ML teams at frontier AI companies including Amazon and Oracle. Alumni of Johns Hopkins University, and George Mason University.

Our Talent

The broader team supporting product, engineering, and research execution.

Staff member headshot
Product

Noha Muzaffar

UX • AI

High school student supporting AI-driven clinical insight development through model training and evaluation, with a strong interest in AI applications in healthcare.

Partner with Zinara

We collaborate with clinics, researchers, and innovators building the future of precision oncology.

Get in touch See how it works