Alabi Banjoko | Statistics | Best Researcher Award

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Dr. Alabi Banjoko | Statistics | Best Researcher Award

 Senior Lecturer at University of Ilorin, Nigeria

Dr. Alabi Waheed Banjoko is a Postdoctoral Research Fellow at the Africa Health Research Institute (AHRI), South Africa, specializing in Human Leukocyte Antigen (HLA) research. He holds a PhD in Statistics from the University of Ilorin, Nigeria, where he developed a hybrid multi-objective optimization method for genomic studies. With over a decade of experience as a lecturer and researcher, he has supervised 42 BSc and 4 MSc students. His expertise spans biostatistics, machine learning, and data analysis. Proficient in SPSS, R, and Python, he actively contributes to academia through publications and mentorship. 🌍📑🔬

Publication Profile

Scopus

Google Scholar

Expertise in Statistics & Research 🔬

Dr. Alabi Banjoko is a Postdoctoral Research Fellow at the Africa Health Research Institute (AHRI), South Africa, specializing in Human Leukocyte Antigen (HLA) research. From 2012 to 2023, he served as a Lecturer in the Department of Statistics at the University of Ilorin, Nigeria, contributing to teaching, research, and community service. His earlier experience includes roles as a Mathematics Teacher (NYSC) in Enugu (2010–2011), an Industrial Trainee at the National Population Commission, Lagos (2007), and participation in the Student Industrial Work Experience Scheme (2005) at the Ministry of Economic Planning and Budget, Lagos. His expertise spans statistical analysis, data collection, and research methodologies. 📈🎓📑

Academic Excellence in Statistics 📊

Dr. Alabi Banjoko holds a PhD in Statistics from the University of Ilorin, Nigeria (2019), where he developed a Hybrid Multi-Objective Sequential-Based Optimization Method for genomic study feature selection and classification. He earned his M.Sc. in Statistics (2013) with a dissertation on Taguchi’s loss function approach and a First-Class B.Sc. in Statistics (2010). His academic journey began with an ND in Statistics (2007) from Federal Polytechnic, Ede, where he analyzed death rates by gender. Currently, he is a Postdoctoral Research Fellow at AHRI, South Africa, advancing research in biostatistics and statistical modeling. 📈📚🔬

Recognized for Excellence in Statistics 📊

Dr. Alabi Banjoko has received multiple awards for his outstanding contributions to statistics and research. In 2013, he was honored with the University of Ilorin Award for his Ph.D. program in Statistics ($1,500). In 2019, the Federal Government of Nigeria awarded him a learned conference grant to Pahang, Malaysia ($4,500). He received the Professional Statistician Society of Nigeria Conference Grant in 2022 ($25). In 2023, his expertise was further recognized with the International Biometry Society Travel Award Fund to attend the IBS SUSAN conference ($1,250). 🏅📈🎓

Research Focus Areas 📊

Dr. Alabi Banjoko specializes in statistical modeling, machine learning, bioinformatics, and computational statistics. His research spans cancer classification, genomic data analysis, support vector machines (SVMs), and data mining in medical diagnostics. He has contributed significantly to feature selection algorithms, econometric modeling, and Bayesian methods. His work also extends to survival analysis, multivariate regression, and optimization techniques. With impactful studies on heart disease prediction, cancer risk assessment, and foreign aid economics, he blends mathematics, statistics, and health analytics to drive data-driven decision-making. 📈🧬💡

Publication Top Notes

  • Efficient Support Vector Machine Classification of Diffuse Large B-Cell Lymphoma and Follicular Lymphoma mRNA Tissue Samples 📊🧬 – Cited by: 15 – Year: 2015
  • IMPROVED BAYESIAN FEATURE SELECTION AND CLASSIFICATION METHODS USING BOOTSTRAP PRIOR TECHNIQUES 🔢📊 – Cited by: 13 – Year: 2016
  • Weighted support vector machine algorithm for efficient classification and prediction of binary response data ⚖️📈 – Cited by: 12 – Year: 2019
  • SURVIVAL ANALYSIS WITH MULTIVARIATE ADAPTIVE REGRESSION SPLINES USING COX-SNELL RESIDUAL 🏥📉 – Cited by: 10 – Year: 2015
  • On the Use of Linear Programming Model Approach in Profit Optimization of a Product Mix Company 💰📊 – Cited by: 6 – Year: 2020
  • Multiclass response feature selection and cancer tumour classification with support vector machine 🩺🧬 – Cited by: 6 – Year: 2019
  • Efficient Data-Mining Algorithm for Predicting Heart Disease Based on an Angiographic Test ❤️📊 – Cited by: 5 – Year: 2021
  • On seemingly unrelated regression and single equation estimators under heteroscedastic error and non-Gaussian responses 📊🧮 – Cited by: 4 – Year: 2020
  • Econometric Analysis of the Effects of Land Size on Cereals Production in Nigeria 🌾📉 – Cited by: 4 – Year: 2020
  • The nexus between foreign aid and foreign direct investment in Nigeria: simultaneous equations approach 🌍💰 – Cited by: 3 – Year: 2023
  • Data Mining Genome-Based Algorithm for Optimal Gene Selection and Prediction of Colorectal Carcinoma 🧬📊 – Cited by: 3 – Year: 2020
  • Sequential optimization-based feature selection algorithm for efficient cancer classification and prediction 🏥⚙️ – Cited by: 3 – Year: 2018
  • Genetic diagnosis, classification, and risk prediction in cancer using next-generation sequencing in oncology 🧬🔬 – Cited by: 2 – Year: 2024
  • A Test Procedure for Ordered Hypothesis of Population Proportions Against a Control 📊📏 – Cited by: 2 – Year: 2016
  • Modelling determinants of antenatal care services utilization in Nigeria 🤰📈 – Cited by: 1 – Year: 2022

 

Hao Zhang | Biomaterials | Best Researcher Award

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Dr. Hao Zhang | Biomaterials | Best Researcher Award

Senior Researcher at EVLiXiR Biotechnology Co., Ltd., China

Dr. Hao Zhang is a researcher at the Nanjing Bell Mountain Institute of Molecular Medicine & EVLiXiR, specializing in biomaterials, proteomics, and drug delivery. He holds a Ph.D. in Biological Science & Medical Engineering from Southeast University (2019–2024), an MPhil from Nanjing University, and a B.Sc. from Nanjing Forestry University. With prior experience as Director of R&D at Skyraying Biotechnology and R&D Manager at Genscript & Genloci, his expertise lies in high-throughput extracellular vesicle (EV) extraction, peptidomics, and proteomics. His work focuses on mass spectrometry-based biomarker discovery and engineering EVs for targeted drug delivery. 📧 scottzhang09@gmail.com | ORCID: 0000-0001-9744-1707.

 

Publication Profile

Orcid

🎓 Education Background

Dr. Hao Zhang has a strong academic foundation in biological sciences and medical engineering. He is currently pursuing a Ph.D. (2019–2024) at the School of Biological Science and Medical Engineering, Southeast University, China, under the guidance of Prof. Weiguo Andy Tao. He previously earned an MPhil (2007–2010) from the School of Life Sciences, Nanjing University, mentored by Prof. Chenyu Zhang and A/Prof. Chen Xu. His academic journey began with a B.Sc. (2003–2007) from the School of Forest Resources and Environment, Nanjing Forestry University, where he was guided by Prof. Yulong Ding. 🎓🔬

 

💼 Professional Experience

Dr. Hao Zhang has extensive experience in molecular medicine and biotechnology. Since October 2018, he has been a Researcher at the Nanjing Bell Mountain Institute of Molecular Medicine & EVLiXiR, focusing on biomaterials and drug delivery. Previously, he served as Director of R&D at Skyraying Biotechnology Co., Ltd. (2015–2018), where he led innovative research projects. From 2010 to 2015, he worked as an R&D Manager at Genscript & Genloci, gaining expertise in proteomics and extracellular vesicle engineering. His career reflects a strong commitment to advancing biomedical research and therapeutic applications. 🧬🔬

 

🔬 Research Interests

Dr. Hao Zhang’s research focuses on biomaterials, proteomics, and drug delivery. He specializes in high-efficiency and high-throughput extraction of extracellular vesicles (EVs) from body fluids, advancing clinical diagnostics. His expertise extends to peptidomics, proteomics, and modified proteomics technologies, utilizing mass spectrometry to identify EV biomarkers for disease detection. Additionally, he works on engineering extracellular vesicles as targeted drug delivery systems, leveraging scaffold proteins for precision medicine. His contributions enhance therapeutic applications and biomedical innovations, bridging fundamental research with clinical advancements. 🧬💊

 

Publication Top Notes

  • 📄 High-Efficiency Capture and Proteomic Analysis of Plasma-Derived Extracellular Vesicles through Affinity Purification | Analytical Chemistry | 2025 | DOI: 10.1021/acs.analchem.4c04269
  • 🧬 Transcriptional and Post-Transcriptional Regulation of CARMN in Cervical Cancer | Journal of Experimental & Clinical Cancer Research | 2024 | DOI: 10.1186/s13046-024-03229-y
  • 🏷 Label-Free MRM-MS for Quantifying Phosphopeptides from Extracellular Vesicles | Analytical Chemistry | 2024 | DOI: 10.1021/acs.analchem.4c03492
  • 💊 Chondrocyte-Targeted EV Delivery for Osteoarthritis Therapy | Advanced Healthcare Materials | 2024 | DOI: 10.1002/adhm.202303510
  • 🧪 Urine Sample Collection & Processing for EV-Based Proteomics | The Analyst | 2024 | DOI: 10.1039/d4an00296b
  • 🔬 Surface Functionalization of Exosomes for siRNA Delivery & Cartilage Regeneration | Journal of Controlled Release | 2024 | DOI: 10.1016/j.jconrel.2024.04.009
  • ⚡ Targeted Phosphoproteomics of Human Saliva EVs via MRM³ | Analytical Chemistry | 2024 | DOI: 10.1021/acs.analchem.3c04464
  • 🏥 DIA Phosphoproteomics of Urinary EVs for RCC Grade Differentiation | Molecular & Cellular Proteomics | 2023 | DOI: 10.1016/j.mcpro.2023.100536
  • 🔬 UPLC-MS/MS for Steroids & Glucocorticoids in Human Urine | Analytical Letters | 2023 | DOI: 10.1080/00032719.2022.2092124
  • 🧬 Automated EV Extractor for Phosphoproteomics Analysis | Science Discovery | 2022 | DOI: 10.11648/j.sd.20221002.15