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FDA shifts 60-year default: One pivotal clinical trial is now the default for drug approval – replacing the two-trial requirement

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OUR TEAM

The Science & Engineering Behind GNQ

A multidisciplinary team bridging quantum computing, causal AI, computational biology, and clinical medicine — building the intelligence layer for precision drug development.

Team

Dr. Anh Pham

VP of R&D · Quantum Computing & AI

  • Education
    Ph.D., Materials Science & Engineering — University of New South Wales, Australia
    M.Phil., Physics — University of New South Wales, Australia
    B.S., Physics — Pennsylvania State University
    Experience
    Researcher, Oak Ridge National Laboratory — computational physics and quantum simulation research
    Technical Lead, Quantum Computing — Deloitte — enterprise quantum computing strategy and implementation
    70+ peer-reviewed publications in computational biology/chemistry, quantum computing, and machine learning
    Quantum ComputingComp. BiologyMLCo-Inventor · Q-BRM

Andrea Dobrindt

VP of AI · Product Owner, DAP & DSP

  • Education
    B.E. Bioengineering & M.S. Pharmaceutical Sciences, China Pharmaceutical University
    M.S. Biostatistics, University of Louisville
    Nanodegrees in AI, Deep Learning & Machine Learning — Udacity
    Experience
    15+ years spanning pharma (Pfizer, Novartis, Boehringer Ingelheim, Eisai), IBM Consulting, and TechBio
    Chief Data Scientist & AI/ML Competency Lead, IBM Consulting — Built AI/ML and GenAI competency within IBM’s Data & Technology Transformation Organization; directed data science upskilling across the Americas
    Regular speaker on AI strategy, clinical trial innovation, and GenAI in biotech; peer-reviewed publications in oncology, genomics, and infectious disease
    Mentor for early-career professionals; Women in Tech advocate; HOSA competition judge
    AI StrategyGenAIClinical TrialsPharmaDAP · DSP

Dr. Shiva R

Principal AI Scientist · LLM & Knowledge Graph Platforms

  • Education
    Ph.D. in Engineering — University of Illinois Urbana-Champaign (UIUC)
    Postdoctoral Fellowship, Biomedical Engineering — UT Health
    Data Science Training & AWS AI Certification
    Experience
    15+ years in AI/ML leadership across healthcare, federal government, and academia
    Leading LLM-driven clinical ML platforms, knowledge graph-based ontology mapping, feature engineering, and agentic AI workflows at GNQ
    Research impact: citations >3,700, h-index ~17 (Google Scholar)
    LLMKnowledge GraphsClinical MLAgentic AI

Dr. Carmen Gil

Senior Research Scientist

  • Education
    B.S. in Chemical Engineering — University of Florida
    M.S. & Ph.D. in Biomedical Engineering — Georgia Institute of Technology / Emory University
    Experience
    3D Bioprinting of patient-specific organ-on-chip systems
    CT-visible cardiac patch device development
    Lipid nanoparticle drug delivery systems
    Biomedical Eng.Drug DeliveryOrgan-on-Chip

Nimish Saxena

Digital Twins Product Engineering Manager

  • Education
    B.S. in Computer Science — San Diego State University
    Experience
    5+ years in data engineering and technical leadership, including experience at Amgen
    Leads development of GNQ’s Digital Twin Platform — leveraging 3D imaging, rendering, and AI to create patient-specific genetic profile clones for clinician use
    Synthesizes new digital twins using generative models (GANs) and statistical frameworks to enrich digital twin analysis datasets
    Digital TwinsGenerative AIKnowledge GraphsBio AvatarsAgentic AIData Engineering

Dr. AJ Massri

Computational Biologist

  • Education
    B.S. in Biochemistry & Cell Biology — UC San Diego
    Ph.D. in Biology / Bioinformatics — Duke University
    Experience
    5 years of bioinformatics analysis and NGS data pipeline development during graduate research; 8 peer-reviewed publications, 1 book chapter
    Bioinformatics Scientist, NIEHS — 3.5 years developing NGS pipelines, consulting on experimental design and analysis; 8+ additional peer-reviewed publications
    BioinformaticsNGS PipelinesGenomics

Eduardo Austin

Senior Architect · Healthcare Data Interoperability

  • Education
    B.S. in Information Technology — Old Dominion University
    M.S. in Finance — Georgia State University
    Experience
    15+ years leading data interoperability, EDI, and cloud-based FHIR implementations in healthcare environments
    Experienced FHIR Subject Matter Expert and Senior Technical Product Manager
    FHIRHL7InteroperabilityCloud Architecture

Nira Barlow

AI Engineer

  • Education
    B.S. in Applied & Computational Mathematical Sciences (Biological & Life Sciences track) — University of Washington
    Minor in Microbiology — University of Washington
    Experience
    Computational biology and multi-omic data analysis
    Mathematical and statistical modeling applied to biological systems
    AI/ML-driven research in treatment response and disease pathway analysis
    Multi-Omics
    Comp. Biology
    AI/ML

Aparajita Pathak

Senior AI Analyst

  • Education
    B.S. in Computer Science — UNC Charlotte
    M.S. in Information Management (Data Science) — University of Washington
    Experience
    One of GNQ’s earliest engineers — applies machine learning, LLM applications, and agentic workflows to transform complex clinical and genomic data into actionable insights
    Builds AI-driven digital twin and genomics platforms advancing precision medicine
    Software Developer, Vanguard — 4+ years leading end-to-end application development
    LLM Apps
    Agentic Workflows
    Genomics
    Digital Twins