We make the clinical evidence pipeline faster without loosening its rigor.

Ivaylo Guenov is the Executive Chairman of Healytex. He guides the company's technology direction, solution implementation and growth in clinical data automation.

He brings experience from senior technology and operations leadership: building enterprise data analytics products, integrating heterogeneous data sources in regulated corporate environments, and overseeing delivery across offices in the United States, Europe, India and Latin America for global companies such as Deloitte. His background includes chief technology leadership with responsibility for innovation and R&D. That experience shapes how Healytex builds automated, governed AI data pipelines for regulated work.

Ivaylo holds a dual Computer Science and Management degree. He co-founded and scaled several technology ventures in Canada, Europe and the United States, which global system integrators and investment funds later acquired.

Andrey Glavchev is the President of Healytex. With over two decades of engineering leadership, he specializes in high-scale distributed systems, enterprise artificial intelligence and mission-critical software platforms. He leads the development and architecture of the governed AI data pipelines behind Healytex's SDTM, ADaM and TLF services.

He works mainly on software architecture in heavily regulated industries, where compliance, auditability, zero-trust security and fault tolerance are mandatory. His cross-industry experience spans healthcare and life sciences, insurance, health insurance and cybersecurity.

He has led design, security posture and release orchestration for cognitive cloud platforms in data-intensive environments. That work includes HIPAA- and GDPR-aligned healthcare systems, high-throughput insurance and healthcare data architectures, zero-trust cloud infrastructure aligned with ISO/IEC 27001, SOC 2 Type II and ISO 22301, and big data pipelines using Apache Spark, distributed microservices and real-time processing for clinical and financial datasets.

Andrey holds an M.Sc. in Technology Entrepreneurship from Sofia University St. Kliment Ohridski, an M.Sc. in Computer Science and a B.Sc. in Electronics Engineering.

Assoc. Prof. Dr. Hristo Aladjov is Chief Science Officer of Healytex. He is an Associate Professor at the Bulgarian Academy of Sciences (Institute of Biophysics and Biomedical Engineering), specializing in artificial intelligence, mathematical modeling and computational biology. He has over two decades of research and nearly 1,000 scientific citations.

His work spans theoretical computer science, machine learning architectures, toxicological risk assessment and neuromuscular biomechanics. He co-authored the monograph Generalized Nets in Artificial Intelligence, Vol. 2: Generalized Nets and Machine Learning (with Acad. Krassimir Atanassov). His research covers generalized nets, intuitionistic fuzzy systems, genetic algorithm optimization and expert-system design for parallel workflows and adaptive learning.

In computational toxicology, he has collaborated with institutions including the OECD and the U.S. Environmental Protection Agency on rule-based expert systems, SAR/QSAR modeling and Adverse Outcome Pathway networks, integrating multi-omics data and machine learning to support predictive safety assessment. His biomechanics research includes mathematical modeling of motor unit dynamics and hierarchical genetic algorithm optimization in human physiological systems.

At Healytex, Dr. Aladjov is responsible for the scientific rigor of the AI-assisted data pipelines. He makes sure automation for clinical and regulatory work rests on sound modeling, traceable logic and defensible evidence.