Meet the Team

Anisha Luthra

  • Co-Founder - Business

    Aditi brings deep experience in healthcare operations, regulatory compliance, and business development. As a former founder of a CLIA-certified clinical diagnostics lab, she built and scaled complex laboratory operations from the ground up—navigating federal and state regulations, insurance reimbursement systems, and B2B partnerships with healthcare providers across New Jersey.

    At Root Cause Finder, Aditi leads business strategy, partnerships, and operations, leveraging her firsthand knowledge of the U.S. healthcare landscape to bring innovative, research-backed tools to market.

    Past Highlights:

    • Successfully obtained CLIA and NJ CLIS lab certifications, validating RT-PCR testing protocols for COVID-19

    • Negotiated reimbursement with major insurers including Medicare, Medicaid, Cigna, and BCBS

    • Led outbound sales campaigns and secured contracts with surgical centers, physician offices, and pharmacies

    • Managed the sale process of the lab, securing multiple offers from prospective buyers

  • Co-Founder - Technical

    Anisha is a data scientist and machine learning engineer with a background in biomedical natural language processing (NLP) and real-world health data. She previously worked at Memorial Sloan Kettering Cancer Center, where she built machine learning models to extract insights from unstructured clinical and radiology data to support oncology research.

    At Root Cause Finder, Anisha leads product, AI development, and research integration. She is responsible for designing and building the platform’s core AI architecture—including a retrieval-augmented generation (RAG) pipeline that surfaces evidence-based insights from peer-reviewed clinical literature.

    Past Highlights:

    • Built and deployed ML pipelines at Memorial Sloan Kettering Cancer Center to infer metastatic cancer sites from radiology reports using weak supervision and biomedical ontologies

    • Led ML/NLP efforts to extract metastatic cancer sites from radiology reports, with resulting insights now published on cBioPortal for use by researchers worldwide

    • Co-first author on a Nature paper published through the MSK-CHORD initiative, where she developed methods to extract structured clinical data from unstructured reports, enabling large-scale integration of clinical and genomic data to support precision oncology efforts

Founder Letter

Amongst the tens of billions spent on research annually, the millions of peer-reviewed research papers published each year, lie numerous, actionable insights waiting to be learnt and applied.

It's time to organize the chaos.

It frustrates us that there are so many patients that could find answers if they knew how and where to look, if they were aware of the scientific advancements available to both diagnose and treat disease.

Having both worked in the healthcare field, too often we hear about misdiagnosis’ and medical errors. While some feel gaslit by their medical professionals, others suffer from a lack of access to the right team. Hospitals are understaffed and medical professionals are suffering from unprecedented rates of burnout. Patients are often told to be their own best advocate. The information available is so vast and hard to decode that it is inaccessible to even the rich!

And yet, every day, we read about patients who after years and years of “being their own best advocate,” are able to find the answers they were looking for - sometimes even achieving remission or reversal of their disease.

Yes, every day, we hear about these miracles.

And, every day, there is breakthrough medical research - a new peer-reviewed paper is published every 2 minutes.

What if the answers are hidden in plain sight?

More to come,

Aditi & Anisha Luthra