Meet the team at Tanit AI
A multidisciplinary team of fertility experts, AI researchers, and engineers advancing reproductive medicine through neuro-symbolic AI.
Explore Our Team
The Co-Founders
Visionary leaders with decades of experience in reproductive medicine, clinical innovation, and fertility access across Africa and beyond.
An entrepreneur in healthcare industry with specialization in fertility and health across Africa since 2016, Kais Zhioua has co-founded three ventures in the fertility industry, demonstrating an unwavering commitment to expanding access to reproductive care.
As Chief Strategy & Innovation Officer at Clinique La Rose, he bridges clinical excellence with technological innovation. He serves on the boards of Tunisia Health Alliance, La Rose Clinic, and Fertillia, shaping the future of fertility care across the continent.
Co-author of a landmark book on fertility treatment access in Africa, Kais brings a unique perspective that combines strategic vision with deep domain expertise in reproductive health.
A towering figure in reproductive medicine, Pr. Fethi Zhioua has shaped the landscape of fertility care in Tunisia and across Africa for nearly four decades. A Doctor of Medicine since 1985, he has dedicated his career to advancing the science and practice of assisted reproduction.
As Professor at the Faculty of Medicine in Tunis since 1993, he has trained generations of reproductive medicine specialists. He established and has led the Reproductive Medicine Diploma program since 2003, creating a pipeline of clinical excellence.
His most historic achievement remains the founding of the first public IVF center at Aziza Othmana Hospital in 1991 — a milestone that democratized access to fertility treatment in Tunisia. With over 120 scientific publications, his research continues to influence clinical practice worldwide.
Medical Advisory Board
Guided by International Clinical Excellence — a distinguished panel of physicians, embryologists, and researchers with extensive French university training and ESHRE certifications.
Dr. Hanene Elloumi
Professeur Agrégé en Histologie Embryologie et Biologie de la Reproduction
Fertillia — Clinique La Rose, Tunis
Innovating in embryology and head of the largest fertility embryology lab in Africa. Combining extensive French academic training with clinical excellence at Fertillia.
Specializations
French University Training
- Maîtrise en Physiologie et Biologie de Développement — Faculté de Médecine Pierre et Marie Curie, Paris (2006/2007)
- Mastère Professionnel "Biologie de la Reproduction Humaine et AMP" — Faculté de Médecine Paris V (2007/2008)
- Attestation de Formation Spécialisée en Biologie de la Reproduction — Faculté de Médecine Paris Denis Diderot (2006/2008)
- Titre de Médecin Étranger des Hôpitaux de Paris — Collège de Médecine des Hôpitaux de Paris (2007/2008)
- Mastère de Recherche "Reproduction et Développement" — Faculté de Médecine Paris Descartes (2008/2009)
- AFSA en Biologie de la Reproduction — Faculté de Médecine Paris Descartes (2008/2009)
Dr. Sonia Mnallah
ESHRE Certified Clinical Embryologist
Fertillia — Tunis, Tunisia
Specialized in the intersection of genetics and reproductive biology, bringing comprehensive French academic training in assisted reproduction to clinical embryology practice.
Specializations
French University Training
- Professional Master's in Human Reproductive Biology and Medically Assisted Reproduction — Faculty of Medicine Paris Descartes, Paris
- University Degree in Genetics and Reproduction — Faculty of Medicine Paris Sud, Paris
- Master 1 in Reproductive Biology — Faculty of Medicine Pierre et Marie Curie, Paris
Dr. Marouen Braham
Professor of Obstetrics, Gynecology, and Reproductive Medicine
Faculty of Medicine of Tunis
Leading fertility preservation efforts in Tunisia, with a focus on advancing reproductive biology education and clinical practice in ovarian reserve assessment and endometriosis management.
Specializations
French University Training
- University Diploma in "Preservation of Reproductive Capacity or Fertility and Cancer" — Faculty of Medicine Paris-Sud, Université Paris XI (2017)
- Inter-University Diploma in "Gynecological and Obstetrical Ultrasound" — Faculty of Medicine René Descartes Paris 5 (2015)
- University Diploma in "Exploration and Practice Management of Infertility" — Faculty of Medicine René Descartes Paris 5 (2015)
- Fellowship at Assistance Publique des Hôpitaux de Paris (AP-HP) — 3 years
Dr. Mohamed Khrouf
Ancien Maître de Conférence Agrégé — Faculty of Medicine of Tunis
GynTunis — Tunis, Tunisia
Expert in reproductive medicine and onco-fertility, member of the Oncofertility Consortium. Advancing fertility care and preservation while training West African physicians to expand access to reproductive medicine across the continent.
Specializations
French University Training
- DIU en Échographie en Gynécologie Obstétrique et Sénologie — Université Paris 12 Val de Marne (2008/2009)
- DU de Médecine et Biologie de la Reproduction — Université Paris 6 Pierre Marie Curie (2008/2009)
- DU Européen Hystéroscopie — Université Paris 11 (2009/2010)
Medical & AI Research
Pioneering Interpretable Clinical AI — researchers combining formal reasoning, medical knowledge graphs, and neuro-symbolic methods to build auditable, trustworthy AI systems for reproductive medicine.
Dr. Yvon K. Awuklu
Research Scientist — Medical Symbolic AI
Logic-Based Clinical Reasoning & Ontology EngineeringMD, PhD from the University of Bordeaux with dual expertise in medicine and informatics. Dr. Awuklu specializes in Medical Symbolic AI with a focus on reproductive medicine, developing logic-based frameworks for inferring clinical events from electronic health records. His research bridges knowledge representation, temporal reasoning, and clinical data integration — bringing formal AI methods to fertility care.
- Ph.D. in Informatics & Health — University of Bordeaux (LaBRI, CNRS)
- M.Sc. Medical Informatics — ISPED, University of Bordeaux
- Doctor of Medicine (MD) — Joseph Ki-Zerbo University, Burkina Faso
- Ontology-driven identification of inconsistencies in clinical data — J Biomed Inform (2025)
- A Logic-Based Framework for Inferring Medical Events — HC@AIxAI, ECAI 2025
- Evaluating the Relevance of Virtual Drugs — Stud Health Technol Inform (2022)
Bechir Dardouri
Research Engineer — Medical Reasoning AI
Large Reasoning Models & Knowledge Graph Deep LearningPublished AI researcher from École Polytechnique de Tunisie specializing in interpretable reasoning systems that integrate graph structure, causal inference, and neural models. At Tanit AI, Bechir develops in-house Large Reasoning Models (LRMs) for medical knowledge processing through advanced post-training techniques — reducing hallucinations by 72% while maintaining full path traceability for clinical validation.
- Engineering Degree — École Polytechnique de Tunisie (Applied Mathematics & CS)
- CIMPA Research School — Control, Optimization & ML
- TTFT-Aware Graph Chain-of-Thought — MEDES 2025 (Springer)
- CSG-Chat: Constructing Causal Structured Graphs — QCRI-SIP 2025
Engineering Team
Building the Neuro-Symbolic Engine — a world-class engineering team combining knowledge graphs, machine learning, and generative AI to transform fertility care.
Yassine Msaddak
Data & Knowledge Graph Engineer
Data engineer specializing in knowledge graph integration since the inception of Tanit AI. Certified Neo4j Professional, Yassine architects and delivers the medical knowledge graph that powers the platform's clinical reasoning engine.
Yosr Ghariani
AI Engineer
AI Engineer graduated from ENSI (National School of Computer Science), Yosr develops the machine learning models that drive fertility treatment decision support — translating complex clinical data into actionable insights for practitioners.
Mohamed Tiss
AI & ML Engineer
AI & ML engineer from ENSI, Mohamed focuses on developing and deploying machine learning models and generative AI solutions. He is the driving force behind Tanit AI's Generative AI SaaS platform, bringing cutting-edge AI capabilities to clinical workflows.
Malek Jellali
Cloud & DevOps Engineer
Cloud IT engineer responsible for the backbone of Tanit AI's infrastructure. Malek manages CI/CD pipelines, MLOps and LLMOps workflows, ensuring 24/7 secure and reliable platform operation for clinical-grade AI services.
Sales & Operations
Bridging Technology and Human Experience — a dedicated team ensuring that Tanit AI's innovation translates into meaningful patient outcomes and sustainable growth.
Amel Hmaied
Customer Experience Manager
With 8 years of experience managing international fertility patients, Amel ensures every patient journey is seamless and compassionate. She brings deep understanding of the emotional and logistical complexities of cross-border fertility care.
- 8 years managing international fertility patients
- Patient journey optimization
- Compassionate care coordination
Eya Boujemaa
Customer Discovery & Demography Researcher
A demography researcher focused on fertility and reproductive health, Eya leads the customer discovery team. She transforms user insights into actionable product features, ensuring Tanit AI evolves with the real needs of patients and clinicians.
- Demography research in fertility
- User insight transformation
- Product-market alignment
Inès Lamti
Project Management Officer
Holding an MS in Business Intelligence, Inès coordinates the intersection of technical, clinical, and business teams. As PMO, she ensures cross-functional alignment and drives project delivery across all Tanit AI workstreams.
- MS in Business Intelligence
- Cross-functional coordination
- Technical-clinical alignment
Organizational Chart
A unified view of the Tanit AI team — from leadership and medical advisory to research, engineering, and operations.
Kais Zhioua
Co-Founder & CEO
Pr. Fethi Zhioua
Co-Founder & Professor
Dr. H. Elloumi
Clinical Embryologist
Dr. S. Mnallah
Clinical Embryologist
Dr. M. Braham
Prof. OB/GYN
Dr. M. Khrouf
Reproductive Medicine
Dr. Y. Awuklu
Medical Symbolic AI
B. Dardouri
Medical Reasoning AI
Y. Msaddak
Knowledge Graph
Y. Ghariani
AI Engineer
M. Tiss
AI & ML Engineer
M. Jellali
Cloud & DevOps
A. Hmaied
Customer Experience
E. Boujemaa
Customer Discovery
I. Lamti
PMO
15 team members across 5 departments — united by a shared mission to advance reproductive medicine through AI.