Ms. Darasimi Olorunlowu | Neuroscience | Best Researcher Award

Ms. Darasimi Olorunlowu | Neuroscience | Best Researcher Award

Genomac Institute Inc. Nigeria

Darasimi Racheal Olorunlowu is a passionate and highly motivated graduate of Anatomy with a keen interest in Neuroscience, particularly neurodegeneration and brain health 🧠. With a solid academic background and growing research portfolio, she is committed to making impactful contributions to the scientific understanding of neurogenomics and neurodegenerative diseases. Her collaborative spirit, scientific curiosity, and strong analytical skills make her a standout emerging researcher in the Nigerian neuroscience community 🇳🇬.

Publication Profile

ORCID

🎓 Educational Background

Darasimi earned her Bachelor of Technology (B.Tech) in Anatomy from Ladoke Akintola University of Technology (LAUTECH), Nigeria, where she graduated with a commendable CGPA of 4.17/5.00 (3.63/4.00 iWES equivalent) 📚. Prior to this, she completed her secondary education at Royalpath College, Lagos, where she laid a strong foundation in biology, chemistry, and physics—subjects that would later shape her interest in brain research.

🧪 Professional Experience

She is currently a Research Intern at Genomac Institute Inc. (2025–present), where she analyzes large-scale genomic datasets and develops bioinformatics pipelines using tools like R, SPSS, and Geneious. She served as an Academic Tutor during her National Youth Service (2023–2024), supporting biology and neuroscience education at the secondary level. Her earlier role as a Research Assistant with the LAUTECH Neuroscience Group (2023–2024) involved histological analysis, literature reviews, data visualization, and manuscript preparation. Additionally, she completed internships in histopathology and conducted an undergraduate research project focused on drug-induced liver toxicity 🧫🔍.

🏆 Awards and Honors

Darasimi has been recognized by the LAUTECH Neuroscience Group and the International Brain Research Organization (IBRO) for her outstanding contributions to research, capacity building, and community development in neuroscience 🌍🏅. She has also obtained multiple certifications from institutions like the University of Michigan, HRH-CERID, and Gen’Omics Research Hub, which further solidify her training in neuroanatomy, genomics, and molecular diagnostics.

🧠 Research Focus

Her research focus centers around neurogenomics, neurodegenerative diseases, and molecular neuroscience 🧬. She has contributed to studies on Parkinson’s disease, mental stress pathways, and genetic markers associated with neurodegeneration. Her expertise in histology, molecular biology, and statistical data analysis underpins her multidisciplinary approach to understanding brain function and pathology. She is also actively engaged in bioinformatics-driven investigations and in silico modeling to identify hub genes and regulatory networks related to neurological disorders.

🔚 Conclusion

With an impressive early-career research track, multiple co-authored publications, and a strong commitment to advancing brain science, Darasimi Racheal Olorunlowu stands out as a promising neuroscience researcher. Her dedication to learning, collaborative leadership, and skillful scientific communication make her a valuable contributor to the global neuroscience community 🌐📖.

📚 Top Publications 

Neurogenomics Contributions to Neurodegenerative Disease
Adeleye, O. O., Olorunlowu, D. R., et al. (2024)
Nepal Journal of Neuroscience
DOI: 10.3126/njn.v21i1.58673
Cited by: 5 articles

Unraveling the Complex Tapestry of Mental Stress: A Multifaceted Exploration of Pathways, Consequences, and Remedies
Adeleye, O. O., Akindokun, S., Olorunlowu, D. R., et al. (2024)
European Journal of Neuroscience
DOI: 10.22541/au.172115134.42168367/v1
Cited by: 3 articles

Molecular, Genetic and Population Approaches of Brain Health: The African Perspective
Adeleye, O. O., Olorunlowu, D. R., et al. (2023)
Neuroscience Journal of Nigeria (Accepted)
Cited by: Upcoming publications

The Socioeconomic Impact of Lassa Fever in Nigeria
Akindokun, S.S., Adeleye, O.O. & Olorunlowu, D.R. (2024)
Discover Public Health, 21(133)
DOI: 10.1186/s12982-024-00265-z
Cited by: 4 articles

In Silico Analysis For Identification Of Hub Genes And Their Regulatory Network In Parkinson’s Disease Putamen
Akanbi, S. T., Yusuf, J. A., Olorunlowu, D.R., et al. (2025)
Egyptian Journal of Medical Human Genetics, 26(9)
DOI: 10.1186/s43042-025-00643-5
Cited by: 2 articles

Molecular Mechanism Underlying Stress Response And Adaptation
Yusuf, J. A., Akanbi, S. T., Olorunlowu, D. R., et al. (2025)
Progress in Brain Research, Elsevier
 DOI: 10.1016/bs.pbr.2025.01.005
Cited by: 6 articles

Dr. Doljinsuren Enkhbayar | Biomedical Engineering | Best Researcher Award

Dr. Doljinsuren Enkhbayar | Biomedical Engineering | Best Researcher Award

Ph.D candidate, Department of Biomedical Engineering, Yonsei University, South Korea

Doljinsuren Enkhbayar is a dedicated biomedical engineer specializing in AI-driven healthcare solutions and biomedical signal processing. Born in Ulaanbaatar, Mongolia, she has a strong background in medical equipment engineering and biomedical data science. With years of experience in both academic research and clinical applications, she is currently pursuing her Ph.D. in Biomedical Engineering at Yonsei University, South Korea. Her passion lies in wearable health technology, biosensors, and the integration of machine learning in medical diagnostics.

Publication Profile

Google Scholar

🎓 Education

Doljinsuren’s academic journey began at the Mongolian University of Science and Technology, where she earned a Bachelor of Engineering in Medical Equipment and Aircraft Maintenance Engineering. She further advanced her expertise with a Master of Science in Biomedical Engineering from the same university. Currently, she is a Ph.D. candidate at Yonsei University, South Korea, focusing on AI and machine learning applications in biomedical sciences.

💼 Experience

With a strong foundation in biomedical engineering, Doljinsuren has worked as a Biomedical Engineer at the National Center of Maternal and Child Health of Mongolia, where she specialized in medical equipment management and safety assessments. She later served as a Training Master in the Department of Electrotechnique at the Mongolian University of Science and Technology, contributing to research and mentoring students. Additionally, she played a pivotal role as a secretariat member of the Mongolian Society of Biomedical Engineering, advocating for technological advancements in healthcare.

🏆 Awards and Honors

Doljinsuren has received multiple accolades for her research excellence. She was awarded the Best Paper Award by the Mongolian Young Scientist Association (2022) for her study on electrosurgical unit output power measurement. She also gained international recognition for her work on predicting esophageal varices using platelet count/spleen size ratio, presented at Chulalongkorn University, Thailand (2020). Her research on chronic hepatitis C treatment was featured at Liver Week 2019 in Busan, Korea.

🔬 Research Focus

Her research interests revolve around AI in healthcare, biomedical signal processing, wearable health technologies, and biosensors. She actively explores how machine learning and biomedical data science can enhance diagnostics, patient monitoring, and medical device performance. Her contributions to biomaterials research, particularly chitosan-based sustainable packaging, reflect her interdisciplinary expertise in biomedical applications.

🔍 Conclusion

Doljinsuren Enkhbayar is a rising expert in biomedical engineering and AI-driven healthcare innovations. Her interdisciplinary research, coupled with her clinical and academic experience, positions her at the forefront of modern medical technology advancements. With an unwavering commitment to improving healthcare outcomes through AI and biomedical data science, she continues to push the boundaries of innovation and research excellence.

📚 Publications

Explainable Artificial Intelligence Models for Predicting Depression Based on Polysomnographic Phenotypes – Published in Bioengineering (2025). Read Here

Chitosan Extracted from the Biomass of Tenebrio molitor Larvae as a Sustainable Packaging Film – Published in Materials (2024). Read Here

Oral Administration of Hydrolysed Casein-Based Supplements on Chronic Liver Disease Patients – Published in The Liver Week (2020). Read Here

Significant Effect of Lifestyle Modification Intervention in Patients with Newly Diagnosed Type 2 Diabetes – Published in The Liver Week (2017). Read Here