Sophie Sarrassat | Data Science | Best Researcher Award

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Assist. Prof. Dr. Sophie Sarrassat | Data Science | Best Researcher Award

Assist. Prof. Dr. Sophie Sarrassat, London School of Hygiene and Tropical Medicine, United Kingdom

Dr. Sophie Sarrassat is an Assistant Professor in Public Health and Epidemiology at the London School of Hygiene & Tropical Medicine (LSHTM), United Kingdom. With a PhD in Public Health from Pierre & Marie Curie University, she specializes in the evaluation of public health interventions, particularly in maternal, neonatal, and child health across West Africa. Her expertise spans mixed-methods research, randomized controlled trials, and global health. Alongside her academic career, she is a qualified integrative counsellor and psychotherapist (MA, BACP registered), offering mental health support in both English and French. Dr. Sarrassat is actively building bridges between global public health and mental health research.

Profile

Scopus

Summary:

Dr. Sophie Sarrassat is a highly qualified and impactful public health researcher with a strong portfolio of interdisciplinary work in global health and mental health. Her research demonstrates scientific rigor, innovation, and real-world impact. She is well-positioned at an internationally respected institution and maintains a robust publication and teaching profile. Her ability to integrate epidemiology, psychology, and cultural sensitivity makes her research both technically sound and human-centered.

🎓 Education

Sophie Sarrassat holds an impressive array of postgraduate degrees that span both health sciences and psychology. She earned her PhD in Public Health & Epidemiology from Pierre & Marie Curie University in France, along with an MSc in the same field. She also holds a Postgraduate Diploma in Integrative Counselling & Psychotherapy and a Master of Arts in Applied Psychology Research from the University of East London. Additionally, she has undertaken advanced training in Internal Family Systems (IFS) therapy, completing both Level 1 and Level 2 certifications through the IFS Institute. Her foundational studies include a postgraduate diploma in Pharmacy from Rouen University and certificates in counselling skills from LC & CTA in London. Sophie also completed a Kundalini Yoga Level 1 Teacher Training program, highlighting her holistic and integrative approach to health and wellness.

💼Experience

Sophie brings over two decades of combined professional experience in public health research and psychotherapy. Since 2011, she has served as an Assistant Professor in Public Health and Epidemiology at the London School of Hygiene & Tropical Medicine (LSHTM), where she contributes to teaching and supervises MSc students in epidemiology. From 2010 to 2011, she held a research fellow position at Heidelberg University in Germany. Parallel to her academic career, she trained and worked as an Integrative Counsellor and Psychotherapist, beginning as a trainee at The Awareness Centre in London and becoming a registered BACP member in 2021. She currently offers psychotherapy sessions both online and in person, in English and French.

🔬Research Focus

Sophie’s research has primarily focused on the evaluation of public health interventions in maternal, neonatal, and child health across West African countries. Her work includes large-scale, randomized controlled trials and mixed-methods studies funded by leading global health organizations. Key projects include interventions on antenatal corticosteroids, malaria reduction, HIV prevention campaigns, and child survival strategies through mass media and health system strengthening. These studies have informed global health policy and practice, with her findings published in high-impact peer-reviewed journals. More recently, she is expanding her focus into Global Mental Health, combining her dual expertise in epidemiology and psychotherapy.

🛠️Skills

Sophie has developed a diverse skill set in both public health research and psychotherapeutic practice. In research, she is adept in designing mixed-methods surveys, creating quantitative and qualitative data collection tools, training interviewers, and conducting advanced data analysis using STATA. She also has experience with interpretative phenomenological analysis and scientific reporting. In psychotherapy, she applies an integrative, trauma-informed and collaborative approach, blending Internal Family Systems therapy, humanistic modalities, attachment theories, neuroscience-informed methods, and creative techniques such as drawing. Her practice is inclusive, culturally sensitive, and open-ended or time-limited based on client needs.

🏆Awards

Sophie’s work has been supported by esteemed institutions such as the Wellcome Trust, Bill & Melinda Gates Foundation, and UNITAID. While formal individual awards are not listed, her consistent involvement in large-scale, high-impact international research trials and her academic role at LSHTM reflect strong recognition of her contributions to public health and applied psychology.

📚 Publications

Title: The World Health Organization Antenatal CorTicosteroids for Improving Outcomes in preterm Newborns (ACTION-III) Trial
Author(s): WHO ACTION Trials Collaborators
Year: 2024
Journal: Trials

Title: Evaluating the Intensity of Exposure to MTV Shuga, an Edutainment Program for HIV Prevention: Cross-Sectional Study in Eastern Cape, South Africa
Author(s): Babalola, S., Shiferaw, S., Mkhize, N., Sarrassat, S., Farahani, M., Wouters, E.
Year: 2024
Journal: JMIR Formative Research

Conclusion:

Dr. Sarrassat exemplifies the qualities of a top-tier researcher through her evidence-based approach, leadership in global health interventions, and dedication to mentorship and equity. With modest increases in visibility and leadership in mental health research, her profile will only grow stronger. Her interdisciplinary work aligns well with current global health priorities and deserves recognition through this prestigious award.

Zhiyong Zhang | Data Science | Best Researcher Award

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Dr. Zhiyong Zhang | Data Science | Best Researcher Award

Dr. Zhiyong Zhang, Tianjin university of traditional Chinese medicine, China

Dr. Zhiyong Zhang is a Ph.D. candidate at Tianjin University of Traditional Chinese Medicine, China. His research focuses on the integration of modern analytical techniques and artificial intelligence to enhance quality evaluation and control in Traditional Chinese Medicine (TCM). With expertise in LC/GC-MS, ICP-MS, NIR, and LIBS, he has contributed to over 20 peer-reviewed publications, including 12 SCI-indexed papers as first or co-first author. His work advances real-time, data-driven approaches for TCM manufacturing and herbal product authentication.

Profile

Scopus

Summary:

Dr. Zhiyong Zhang is a rising star in the field of Traditional Chinese Medicine research, demonstrating excellence in combining classical medical knowledge with state-of-the-art analytical and computational techniques. His research is not only scientifically rigorous but also highly relevant to real-world applications in medicine production, safety, and quality assurance. With a growing list of impactful publications and innovative methodologies, he exemplifies the type of interdisciplinary thinker the Research for Best Researcher Award aims to recognize.

🎓 Education

Zhiyong Zhang, born in September 1997 in Huaibei, Anhui, China, is currently a Ph.D. candidate in Traditional Chinese Medicine at the Tianjin University of Traditional Chinese Medicine, under the supervision of Researcher Wenlong Li. He began his doctoral studies in September 2022. Prior to this, he participated in a joint master’s training program at the First Institute of Oceanography, Ministry of Natural Resources, from September 2021 to June 2022, where he worked with Researcher Junhui Chen. Zhang completed his Master of Science in Traditional Chinese Medicine at the Tianjin University of Traditional Chinese Medicine from September 2020 to June 2021. His academic journey began with a Bachelor of Science in Traditional Chinese Medicine Pharmaceutical at the same university, completed between 2015 and 2019.

💼Experience

Dr. Zhiyong Zhang has extensive academic and research experience in the field of Traditional Chinese Medicine (TCM). He is currently pursuing his Ph.D. at Tianjin University of Traditional Chinese Medicine, where he focuses on quality assessment and control of TCM using advanced analytical technologies and artificial intelligence. He previously participated in a joint master’s training program at the First Institute of Oceanography, Ministry of Natural Resources, where he gained interdisciplinary experience in TCM analysis and data integration. He also completed both his Master’s and Bachelor’s degrees in Traditional Chinese Medicine and Pharmaceutical Sciences at Tianjin University of Traditional Chinese Medicine. Over the years, Dr. Zhang has developed strong expertise in applying chemometrics, metabolomics, and spectroscopy-based techniques to improve the reliability and efficiency of TCM research and manufacturing.

🔬Research Focus

Zhiyong Zhang’s research centers on advancing the quality evaluation and control of Traditional Chinese Medicine (TCM) through modern analytical and computational techniques. His interests include machine learning-based quality analysis of TCM using multimodal data, rapid on-site quality control of Chinese herbal materials and processed products, and the development of multidimensional quality evaluation systems integrating metabolomics, elementalomics, and chemometrics. He also focuses on the application of Process Analytical Technology (PAT) for real-time monitoring of critical quality attributes in TCM manufacturing.

🛠️Skills

He is proficient in a wide range of analytical techniques, including Liquid/Gas Chromatography-Mass Spectrometry (LC/GC-MS), Inductively Coupled Plasma Mass Spectrometry (ICP-MS), Near-Infrared Spectroscopy (NIR), and Laser-Induced Breakdown Spectroscopy (LIBS). His expertise spans both laboratory-based and field-deployable technologies, enabling high-throughput and real-time analysis of complex herbal matrices.

🏆Awards

Zhiyong Zhang has made significant contributions to the field with over 20 peer-reviewed publications, including 12 SCI-indexed papers where he served as the first author or co-first author. He has also filed three patent applications related to his research innovations in TCM quality control and evaluation technologies.

📚 Publications

1. Journal of Food Composition and Analysis (2025)

Title: Investigating the impact of geographical origin and harvesting season on the quality of Hypericum perforatum L. using LC-MS, GC-MS, and ICP-MS technologies in conjunction with random forest model
Authors: Zhang Zhiyong, Qian Jiahe, Fang Guangpu, Chen Jingchao, Li Wenlong

2. Phytochemical Analysis (2025)

Title: A Machine Learning-Based Approach for the Prediction of Anticoagulant Activity of Hypericum perforatum L. and Evaluation of Compound Activity
Authors: Zhang Zhiyong, Nie Wennan, Zhang Yijing, Zhang Shule, Li Wenlong

Conclusion:

Dr. Zhiyong Zhang is highly suitable for the Research for Best Researcher Award. His achievements to date already place him among the most promising young researchers in the field of TCM. With continued support and opportunities to expand his global and practical influence, he is poised to make even greater contributions to science and society.

Hongchao Li | Data Science | Best Researcher Award

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Mr. Hongchao Li | Data Science | Best Researcher Award

Mr. Hongchao Li, Kunming University of Science and Technology, China

Mr. Hongchao Li is an Associate Professor at Kunming University of Science and Technology, China. He holds a Ph.D. in Rock Engineering from China University of Mining and Technology (Beijing). His research focuses on rock blasting theory and technology, including the dynamic performance of rocks and concrete, numerical simulation of blasting fragmentation damage, and controlled blasting techniques. With experience in both academia and industry, he has worked as a Project Deputy Manager at Beijing Zhongda Explosion Engineering Co., Ltd. and as an Assistant Lecturer at Kunming Industrial Vocational and Technical College. His expertise includes numerical simulation, rock mechanics, and blasting engineering.

Profile

Scopus

Summary:

Mr. Hongchao Li is a dedicated researcher with expertise in rock engineering and blasting technology. His ability to combine numerical modeling with experimental research makes him a strong candidate for the Best Researcher Award. His contributions to machine learning applications in engineering also highlight his forward-thinking approach.

🎓 Education

Li Hongchao obtained his Bachelor of Engineering degree in Mining Engineering from Kunming University of Science and Technology in 2008. He then pursued a Master of Engineering in Mining Engineering at the same institution, completing it in 2010. Continuing his academic journey, he earned a Ph.D. in Rock Engineering from China University of Mining and Technology (Beijing) in 2016.

💼Experience

Li Hongchao began his professional career as a Project Deputy Manager at Beijing Zhongda Explosion Engineering Co., Ltd. from 2010 to 2012. He then transitioned into academia, serving as an Assistant Lecturer in Mining Engineering at Kunming Industrial Vocational and Technical College from 2012 to 2013. Since 2016, he has been an Associate Professor at Kunming University of Science and Technology, School of Urban Construction, where he focuses on research and teaching related to rock blasting and engineering.

🔬Research Focus

His research primarily revolves around rock blasting theory and technology, with an emphasis on the dynamic performance and structural relationship of rocks and concrete. His work includes numerical simulation research on rock blasting fragmentation damage models and advancements in controlled blasting theory and technology.

🛠️Skills

Li Hongchao specializes in numerical simulation, rock blasting analysis, structural damage modeling, and controlled blasting techniques. His expertise extends to practical applications in the mining and construction industries, as well as academic research in rock mechanics and engineering.

🏆Awards

Li Hongchao has made significant contributions to the field of rock engineering and blasting, earning recognition for his research and professional achievements. His work has been acknowledged in both academic and industrial settings.

📚 Publications

Title: Dimensionless Machine Learning: Dimensional Analysis to Improve LSSVM and ANN Models and Predict Bearing Capacity of Circular Foundations
Author: H. Li, S.H. Hosseini, B. Gordan, J. Zhou, S. Ullah
Year: 2025
Journal: Artificial Intelligence Review

Conclusion:

Mr. Hongchao Li is a strong contender for the Best Researcher Award. However, increasing international collaborations and citation impact could further solidify his position as a leading researcher in his field.