Dr. Ki Hyun Yoo | Agricultural and Biological Sciences | Research Excellence Award
CTO | Simple Planet Inc | South Korea
Citation Metrics (Scopus)
318
17
9
Citations
Documents
h-index
Citation Metrics (Scopus)
318
17
9
Citations
Documents
h-index
Associate Professor at REVA University | India
Investigator, Inner Mongolia Agricultural University, China
Dr. Zhong Zhi 👨🔬 is an accomplished Investigator and Doctoral Supervisor specializing in lactic acid bacteria genomics and bioinformatics. He has published 30 papers in reputable academic journals, including Microbiome, Journal of Dairy Science, LWT – Food Science and Technology, and Food Microbiology. Among these, 15 are SCI-indexed papers, with a remarkable impact factor of 15.5 for his highest-cited work. Dr. Zhong has successfully led multiple national and provincial research projects, contributing significantly to the development and utilization of lactic acid bacteria resources. He was awarded the “Shennong Chinese Agricultural Science and Technology Award – Excellent Innovation Team Award” in 2017 and recognized for his excellent doctoral dissertation in 2019. 📚
Dr. Zhong Zhi holds a Ph.D. in a relevant field, showcasing a robust academic background that supports his extensive research endeavors in the realm of microbiology and food science. His educational journey has been pivotal in shaping his expertise in lactic acid bacteria and their applications.
With significant experience in research and academia, Dr. Zhong has presided over several national scientific research projects, including those funded by the National Natural Science Foundation of China. His role as a doctoral supervisor has allowed him to mentor and guide numerous students, fostering the next generation of scientists in microbiology and bioinformatics. His industrial and academic collaborations have enhanced the practical applications of his research.
Dr. Zhong’s primary research interests lie in lactic acid bacteria genomics and bioinformatics. He focuses on exploring the genetic characteristics and potential applications of these microorganisms in food science and technology. His work aims to harness the benefits of lactic acid bacteria in health and nutrition, addressing contemporary challenges in food safety and quality.
Dr. Zhong Zhi has received numerous accolades for his contributions to agricultural science and research innovation, including: 2017: Shennong Chinese Agricultural Science and Technology Award – Excellent Innovation Team Award (14th finisher) 🏆 2019: Excellent Doctoral Dissertation Award, Inner Mongolia Autonomous Region 🎓
Biomedical, University of Texas at San Antonio, United States
Dr. Mario A. Flores is an Assistant Professor at the University of Texas at San Antonio, specializing in artificial intelligence models for disease phenotype predictions, biomarker identification, and explainable mechanisms. His innovative research integrates various AI techniques to enhance our understanding of disease progression, particularly in oncology.
Dr. Flores holds a Bachelor’s degree in Electronics Engineering from the Metropolitan Autonomous University, a Master’s in Applied Mathematics, and a PhD in Electrical Engineering (Computational Biology) from the University of Texas at San Antonio. He completed his postdoctoral fellowship at the National Center for Biotechnology Information (NCBI), NIH.
Since 2020, Dr. Flores has served as an Assistant Professor with joint appointments in Electrical and Computer Engineering (ECE) and Biomedical Engineering (BME) at UTSA. His prior roles include NIH Postdoctoral Fellow at NCBI and Research Associate at the Greehey Children’s Cancer Research Institute, showcasing his extensive experience in computational biology and bioinformatics.
Dr. Flores’s research focuses on developing AI tools for disease gene dependence prediction, utilizing spatially resolved transcriptomics, single-cell RNA sequencing, and Electronic Health Records (EHRs) to analyze tumor microenvironments. His work aims to bridge gaps in understanding disease mechanisms and improve patient outcomes through precision medicine.
Dr. Flores has received numerous awards for his research, including funding from the NIH for projects on neural circuits inhibiting pain, and recognition from the AIM-AHEAD Fellowship program, supporting his efforts to address health disparities in minority populations.
Dr. Flores has authored several impactful publications, including:
New tools for spatial biology transcriptomics & proteomics in immuno-oncology, Immuno-Oncology Insights, 2023.
Deep learning tackles single-cell analysis—a survey of deep learning for scRNA-seq analysis, Brief in Bioinformatics, 2022.
Transformer for Gene Expression Modeling (T-GEM): An Interpretable Deep Learning Model for Gene Expression-Based Phenotype Predictions, Cancers, 2022.