Team: Active cross-disciplinary team. SPIE 2026 peer-reviewed publication. Platform in development.

Leadership & Advisory depth

The team building
governance-first AI.

MindNetQ is backed by a cross-disciplinary team spanning authority-governed AI architecture, multi-omics biology, applied mathematics, clinical research, and full-stack implementation — giving the platform the scientific depth and execution capacity partners and investors expect.

Meet the team Current discovery work
6
Team members across leadership, science, and delivery
3
PhD-level scientific and clinical advisors
4
Discipline lanes — AI, biology, mathematics, clinical
Institutional affiliations
University of Management and Technology University of Peshawar Walden University NIBGE–PIEAS, Pakistan Florida Atlantic University (FAU) Royal Caribbean American Express Fiserv Office Depot
Meet the Team
Leadership · Science · Delivery
Featured leadership

Founder and principal investigator.

System architect and lead author driving authority-governed AI, hybrid orchestration design, and integration of governed AI with multi-omics scientific discovery.

George Soto portrait
George Soto, MBA
Founder  ·  Principal Investigator  ·  System Architect
Founder  ·  Principal Investigator  ·  System Architect
Infinity Software Architects, Inc.
PUB
Lead Author  ·  Peer-Reviewed Research
SPIE Defense + Commercial Sensing Conference, 2026
“Governance isn’t a layer you add later. It’s the architecture you build from the start.”

Architect of MindNetQ and E-DICE-R, focused on authority-governed AI systems for distributed computation and scientific discovery. Leads development of governance primitives including authority computation, deterministic execution control, and governed optimization (EGAO). Designs E-DICE hybrid orchestration for coordinated classical, quantum-inspired, and quantum execution under policy and trust constraints. Drives the integration of multi-omics discovery and distributed systems within a unified authority framework.

Royal Caribbean American Express Fiserv Office Depot
Governance primitives

Authority computation, deterministic execution control, and governed optimization (EGAO) for multi-step AI workflows.

Hybrid orchestration

E-DICE design for coordinated classical, quantum-inspired, and quantum execution under policy and trust constraints.

Discovery integration

Drives integration of multi-omics discovery and distributed systems within a unified authority framework.

Scientific & clinical advisors

PhD-level depth across biology, mathematics, and clinical research.

Three advisors with peer-reviewed publications, active lab leadership, and clinical practice experience — directly supporting MindNetQ validation and governance.

3
PhD-level advisors across biology, mathematics, and clinical research
SPIE '26
Lead-authored peer-reviewed publication, Defense + Commercial Sensing
7+
Institutions represented across the advisory and leadership team
4
Fortune 500 enterprise backgrounds in the founding team
Dr. Athar Hussain
PhD
Advisor  ·  Data Science
Dr. Athar Hussain
University of Management and Technology
School of Food & Agricultural Sciences  ·  Infinity Software Architects, Inc.
PhD Biotechnology  ·  NIBGE–PIEAS, Pakistan

Research focuses on multi-omics analysis, comparative genomics, metabolomics, GWAS, and protein–protein interactions. Leads the Genomics and Informatics Lab — a research-active unit with undergraduate and graduate students across plant, animal, and human multi-omics projects.

  • Supports multi-omics integration, data-driven validation, and biological interpretation within governed discovery systems.
  • Recipient of Rector’s Award, Dean’s Outstanding Award, and HEC Best Researcher Paper Award.
  • Secured an International Foundation for Science (IFS) research grant early in career.
Rector’s Award Dean’s Outstanding Award HEC Best Researcher IFS Grant
BMC Genomics Bioinformatics journals 2020–2025
LinkedIn Profile
Dr. Tahir Ullah Khan portrait
PhD
Advisor  ·  Applied Mathematics
Dr. Tahir Ullah Khan
Higher Education Dept., Khyber Pakhtunkhwa
Assistant Professor of Mathematics  ·  Infinity Software Architects, Inc.
PhD Mathematics  ·  University of Peshawar

Research focuses on mathematical modeling, numerical methods, fractional calculus, and computational analysis. Former Lecturer, University of Peshawar. Provides the formal structure that keeps governed AI systems correct, stable, and analytically reviewable.

  • Supports formal modeling, stability analysis, and validation of deterministic system behavior.
  • Contributes to governance invariants, authority computation frameworks, and correctness of distributed AI systems.
  • Peer-reviewed publications in computational and applied mathematics (2022–2025).
J. Computational & Applied Math AIMS Mathematics 2022–2025
. Laura Fontanez portrait
DNP
Advisor  ·  Clinical Research
Dr. Laura Fontanez
DNP, MSN, APRN, FNP-BC
Contributing Faculty, Walden University  ·  Infinity Software Architects, Inc.
DNP Doctor of Nursing Practice  ·  Board-Certified FNP

Board-certified Family Nurse Practitioner with background in patient care, clinical operations, and evidence-based practice. Bridges multi-omics computational findings with real-world clinical decision-making and patient-centered outcomes.

  • Supports validation of biomarker candidates and clinical relevance assessment.
  • Aligns multi-omics outputs with real-world healthcare settings and patient outcomes.
  • Provides translational perspective for clinical and healthcare-facing workflows.
Evidence-based practice Clinical research 2018–2025
Implementation & discovery support

Active execution across biology and engineering.

Computational biology and full-stack engineering — the people turning research architecture into a live, deployable platform.

SK
Computational Biology
Sri Sai Venkata Kiran
Infinity Software Architects, Inc.

Computational biology researcher with experience in transcriptomics, molecular modeling, multi-omics data analysis, and AI-driven analysis workflows. Background in biological data integration and molecular simulation (2022–2025).

  • Supports multi-omics integration, candidate validation, and cross-modal biological consistency within governed optimization pipelines.
  • Focuses on transcriptomics and molecular modeling to strengthen discovery consistency before downstream validation.
Transcriptomics Multi-omics Molecular Modeling
Anowar Hossen portrait
Full Stack & AI/ML Engineer
Anowar Hossen
Infinity Software Architects, Inc.

Full-stack engineer and AI/ML developer with a background in building production-grade systems, machine learning pipelines, and scalable data-driven applications. Designs and implements end-to-end workflows connecting model inference, backend APIs, and deployment infrastructure — bringing the technical execution capacity that turns research architecture into a running platform. Responsible for implementation, integration, and deployment of MindNetQ’s governed AI systems (2021–2025).

  • Builds and deploys AI/ML pipelines, backend services, and full-stack product interfaces for governed AI workflows.
  • Integrates model inference, data pipelines, and distributed systems into cohesive, production-ready platforms.
  • Supports deployment of multi-omics analysis and governed optimization workflows on cloud infrastructure.
Full Stack AI/ML Systems Data Pipelines Cloud Deployment API Design
LinkedIn Profile
Platform Capabilities
The disciplines that power MindNetQ
AI
Platform
Governed AI architecture

Authority computation, deterministic execution control, governed optimization (EGAO), and hybrid orchestration design.

BIO
Biology
Multi-omics discovery

Transcriptomics, multi-omics integration, molecular modeling, candidate validation, and cross-modal biological consistency.

+
Clinical
Healthcare & mathematics

Clinical relevance assessment, formal modeling, stability analysis, governance invariants, and translational research.

DEV
Delivery
Implementation capacity

Full-stack engineering, AI/ML pipelines, model integration, cloud deployment, and governed workflow delivery.

Early discovery signal

An early governed multi-omics signal has emerged from a 19,010-gene screening workflow — a candidate with 3.7x tumor overexpression (p = 2.57×10²¹) and no prior cancer publications found. Found autonomously from TCGA data, no human guidance.

Read discovery summary

Partner and investor access

This team provides the scientific and operational depth to move from early research into reproducible, deployable workflows. Request the brochure or reach out directly to begin the conversation.

The team is live. The platform is running.

MindNetQ is not a concept. It has an active cross-disciplinary team, a live governed platform, a SPIE 2026 peer-reviewed publication, and early multi-omics discovery results currently under validation.

Current discovery work View pricing