Lulu Fu | Healthcare Data Analysis | Research Excellence Award

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Dr. Lulu Fu | Healthcare Data Analysis | Research Excellence Award

The Second Hospital of Jilin University | China

Dr. Lulu Fu is a researcher in reproductive medicine at the Reproductive Medical Center and the Jilin Provincial Key Laboratory of Reproductive Biology, The Second Hospital of Jilin University, where she focuses on assisted reproductive technologies and the pathophysiology of female reproductive disorders. She earned her Ph.D. and master’s degrees in obstetrics and gynecology from Jilin University, following a bachelor’s degree in clinical medicine from Taishan Medical College. Since 2018, she has worked as a reproductive medicine specialist, contributing to both clinical services and academic research. Her clinical and scientific interests include ART, polycystic ovary syndrome, premature ovarian insufficiency, endometriosis, recurrent pregnancy loss, and epithelial–mesenchymal transition mechanisms. She has published multiple peer-reviewed studies, including systematic reviews, meta-analyses, and translational research on ovarian function, reproductive immunology, and molecular biomarkers. Her work also explores the relationship between microbial metabolites and reproductive health, as well as novel therapeutic approaches in infertility management. Through collaborations with multidisciplinary teams, she aims to improve diagnostic and therapeutic strategies for women’s reproductive endocrine disorders. Her career reflects a commitment to advancing reproductive biology and supporting evidence-based assisted reproductive practices that strengthen clinical outcomes for patients.

Profile : Orcid

Featured Publications

Wang, M., Zheng, L., Ma, S., Xu, Y., Zhang, J., & Fu, L. (2025). A comparison of the effects of progestin-primed ovarian stimulation protocol and gonadotropin-releasing hormone antagonist protocol in assisted reproductive technology: a systematic review and meta-analysis. Journal of Assisted Reproduction and Genetics.

Yan, J., Zheng, L.-w., Xu, Y., Chu, X.-m., Zhang, J.-s., Zhang, X.-y., Liang, Y., Liu, S.-s., & Fu, L.-l. (2025). The role of granulocyte–macrophage colony-stimulating factor in female assisted reproductive technology treatment: a systematic review and meta-analysis. Journal of Assisted Reproduction and Genetics.

Amon Exavery | Statistical Analysis | Transcontinental Excellence in Research Data Analysis Award

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Dr. Amon Exavery | Statistical Analysis | Transcontinental Excellence in Research Data Analysis Award

University of Dodoma | Tanzania

Dr. Amon Exavery is a distinguished statistician and public health researcher with over 15 years of experience in research, evaluation, and learning. He holds a Ph.D. in Statistics from the University of Dodoma, a Master’s degree in Epidemiology from the University of the Witwatersrand, and a Bachelor’s degree in Statistics from the University of Dar es Salaam. Dr. Exavery has led numerous large-scale health and social service research projects, including impactful programs on Orphans and Vulnerable Children (OVC), HIV/AIDS, malaria, WASH, nutrition, reproductive, maternal, and child health, adolescent sexual and reproductive health, and sustainable livelihoods. As a Senior Research and Learning Advisor at Pact Tanzania, he has spearheaded multiple secondary data analyses, impact evaluations, and evidence-based program improvements. Previously, he served as a Statistician and Research Scientist at Ifakara Health Institute and Monitoring & Evaluation Officer at Jhpiego, where he applied advanced statistical modeling, multilevel analysis, and predictive analytics to inform policy and practice. A prolific author, Dr. Exavery has published over 40 peer-reviewed articles, presented at international conferences, and contributed to global public health knowledge. Recognized for his strategic leadership, mentorship, and innovative research approaches, he continues to drive evidence-based interventions and strengthen research capacity across Tanzania and the wider region.

Profile : Orcid

Featured Publications

Exavery, A., Kirigiti, P. J., Balan, R. T., & Charles, J. (2026). “Enhancing Longitudinal Impact Evaluation of Non-Experimental Interventions: A Comparative Analysis of Generalized Estimating Equations and Multilevel Models Based on Empirical Evaluation of Temporal Change in Food Security Following an Economic Empowerment Intervention.” Evaluation and Program Planning.

Exavery, A., Kirigiti, P. J., Balan, R. T., & Charles, J. (2025). “Determinants of Participation in WORTH Yetu Economic Empowerment Intervention among Caregivers of Orphaned and Vulnerable Children in Tanzania: A Longitudinal Multivariable Logistic Regression Analysis.” Social Sciences & Humanities Open.

Exavery, A., Kirigiti, P. J., Balan, R. T., & Charles, J. (2024). “Longitudinal Evaluation of the Influence of WORTH Yetu on Household Economic Status Based on the Count of Non-Asset Resources for Orphaned and Vulnerable Children’s Well-Being in Tanzania.” Child Indicators Research.

Exavery, A., Katbi, M., Kirigiti, P. J., Balan, R. T., & Charles, J. (2024). “Multivariate Mixed-Effects Ordinal Logistic Regression Models with Difference-in-Differences Estimator of the Impact of WORTH Yetu on Household Hunger and Socioeconomic Status among OVC Caregivers in Tanzania.” PLOS ONE.

Exavery, A., Alam, K., Charles, J., Barankena, A., Bajaria, S., Minja, E., Mulikuza, J., Mbwambo, T., Ally, A., Mseya, R., et al. (2022). “Impact of Household Economic Strengthening Intervention on Food Security among Caregivers of Orphans and Vulnerable Children in Tanzania.” PLOS ONE.

Tian Tian | Data Analysis | Best Researcher Award

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Dr. Tian Tian | Data Analysis | Best Researcher Award

The Affiliated Hospital of Qingdao University | China

Dr. Tian Tian is an accomplished Associate Professor of Obstetrics and Gynecology, recognized for her expertise in gynecologic oncology, pelvic floor disorders, and inflammatory diseases affecting women’s health. Combining extensive clinical acumen with a strong foundation in translational research, she bridges the gap between patient care and innovative medical science. Her career reflects a deep commitment to improving surgical outcomes, refining treatment algorithms, and guiding evidence-based protocols in complex gynecologic conditions. She is known for mentoring residents and fellows, fostering the next generation of specialists in women’s health.

Professional Profile

SCOPUS

Education

Dr. Tian Tian earned her Doctor of Philosophy in a specialized field of obstetrics and gynecology, equipping her with advanced scientific, clinical, and analytical skills. Her education included rigorous training in translational medicine, surgical innovation, and data-driven clinical research, enabling her to tackle intricate challenges in gynecologic oncology and pelvic floor disorders. This strong academic foundation provided the tools to integrate cutting-edge technology, such as minimally invasive surgical approaches and predictive analytics, into her medical practice.

Experience

With extensive academic and clinical experience, Dr. Tian serves as an Associate Professor of Obstetrics and Gynecology, leading both patient care and research initiatives. In her role, she oversees surgical and systemic management of gynecologic cancers, incorporating advanced laparoscopic and robotic-assisted procedures. She has pioneered techniques in pelvic floor reconstruction, focusing on improving quality of life for patients suffering from prolapse and incontinence. Her experience extends to the development of clinical pathways for managing recurrent infections and inflammatory gynecologic conditions. Dr. Tian is equally committed to teaching, supervising residents and fellows, and promoting excellence in surgical skill acquisition and patient-centered care.

Research Interest

Dr. Tian’s research lies at the intersection of clinical practice and translational science. She specializes in utilizing large-scale clinical datasets to optimize oncology treatment algorithms, particularly identifying biomarkers and predictors of therapeutic response, such as those for PARP inhibitor efficacy in ovarian cancer. Her research also incorporates cost-effectiveness analyses of novel therapies, ensuring that innovative treatments are not only clinically effective but also economically viable for broader healthcare systems. She maintains a strong interest in refining surgical interventions for pelvic floor disorders and in developing evidence-based guidelines for managing chronic inflammatory conditions in gynecology.

Awards

Dr. Tian’s contributions to women’s health have been recognized through academic honors, professional awards, and invitations to present at leading medical conferences. Her innovative approaches in gynecologic oncology and pelvic floor reconstruction have earned her accolades from both clinical and research communities. Her role as a mentor has also been acknowledged through teaching awards, reflecting her dedication to education and leadership in her field.

Publications

Comparative effectiveness and safety of treatment regimens for recurrent advanced ovarian cancer: a systematic review and network meta-analysis

  • Authors: Xingfa Huo, Tian Tian, Xiaochun Zhang, Na Zhou

  • Journal: World Journal of Surgical Oncology

  • Year: 2025

Clinical characteristics and prognosis of rhabdomyosarcoma in the female reproductive system: a population-based analysis using SEER data

  • Authors: Xinyan Gao, Yan Kong, Ying Ning, Zhumei Cui, Ke Lei, Tian Tian

  • Journal: International Journal of Gynecological Cancer

  • Year: 2025

Conclusion

Dr. Tian Tian’s career embodies a rare balance of surgical excellence, scientific rigor, and compassionate care. Her impact extends beyond the operating room and research laboratory, shaping the future of obstetrics and gynecology through innovation, mentorship, and dedication to patient outcomes. By integrating data science, precision medicine, and advanced surgical techniques, she continues to push the boundaries of women’s healthcare. Her work not only transforms individual patient journeys but also influences clinical guidelines and healthcare policy, leaving a lasting legacy in the field.