Somboon Tanasupawat | Molecular Biology | Best Researcher Award

Prof. Dr. Somboon Tanasupawat | Molecular Biology | Best Researcher Award

Chulalongkorn University, Thailand

👨‍🎓Profiles

🎓 Academic Background and Early Career

Prof. Dr. Somboon Tanasupawat has an extensive academic background in microbiology and agricultural chemistry. He obtained his Ph.D. in Agricultural Chemistry from Tokyo University of Agriculture, Japan, an M.Sc. in Microbiology from Kasetsart University, Thailand, and a Diploma in Microbiology and Biotechnology from Osaka University, Japan. His early academic pursuits provided a strong foundation in microbial taxonomy, biotechnology, and applied microbiology.

🔬 Professional Endeavors and Research Focus

Currently, Prof. Tanasupawat is a Professor at the Department of Biochemistry and Microbiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand. His research expertise spans microbial taxonomy, industrial microbiology, and biotechnology. His contributions in identifying and characterizing novel microbial species have significantly advanced microbiological research.

📚 Research Contributions and Publications

With a prolific research career, Prof. Tanasupawat has published over 380 research articles in peer-reviewed journals and contributed 45 book chapters with internationally recognized publishers. His work in microbial taxonomy and applied microbiology has played a vital role in developing microbial applications for pharmaceuticals, agriculture, and environmental sciences.

🏆 Awards and Recognitions

His outstanding contributions to microbiology have been acknowledged with several prestigious awards, including:

  • Scientist Award – Nagai Award (1996) from the Nagai Foundation, Tokyo, recognizing his early scientific achievements.

  • National Outstanding Research Award (2020) from the National Research Council of Thailand, highlighting his groundbreaking research in microbiology.

📖 Editorial and Academic Influence

Prof. Tanasupawat is an editorial board member of several scientific journals, further demonstrating his leadership in the microbiology community. His role as a mentor and researcher continues to influence microbiological advancements and guide future generations of scientists.

🌱 Legacy and Future Contributions

With his extensive research experience, Prof. Tanasupawat continues to contribute to microbial taxonomy and biotechnology, exploring new applications of microorganisms in pharmaceutical, environmental, and industrial fields. His legacy will remain in the identification and utilization of beneficial microbes, shaping the future of applied microbiology and microbial research worldwide.

📖Notable Publications

Description of Komagataeibacter gen. nov., with proposals of new combinations (Acetobacteraceae)

Authors: Y Yamada, P Yukphan, HTL Vu, Y Muramatsu, D Ochaikul, …

Journal: The Journal of General and Applied Microbiology

Year: 2012

Lactobacillus acidipiscis sp. nov. and Weissella thailandensis sp. nov., isolated from fermented fish in Thailand

Authors: S Tanasupawat, O Shida, S Okada, K Komagata

Journal: International Journal of Systematic and Evolutionary Microbiology

Year: 2000

Ideonella sakaiensis sp. nov., isolated from a microbial consortium that degrades poly(ethylene terephthalate)

Authors: S Tanasupawat, T Takehana, S Yoshida, K Hiraga, K Oda

Journal: International Journal of Systematic and Evolutionary Microbiology

Year: 2016

Proteinase-producing halophilic lactic acid bacteria isolated from fish sauce fermentation and their ability to produce volatile compounds

Authors: N Udomsil, S Rodtong, S Tanasupawat, J Yongsawatdigul

Journal: International Journal of Food Microbiology

Year: 2010

Exopolysaccharide-producing lactic acid bacteria strains from traditional Thai fermented foods: isolation, identification and exopolysaccharide characterization

Authors: T Smitinont, C Tansakul, S Tanasupawat, S Keeratipibul, L Navarini, …

Journal: International Journal of Food Microbiology

Year: 1999

Yaoyao Li | Bioinformatics | Best Researcher Award

Assoc. Prof. Dr. Yaoyao Li | Bioinformatics | Best Researcher Award

Xidian University, China

👨‍🎓Profiles

Early Academic Pursuits 🎓

Yaoyao Li, Ph.D., began her academic journey at Xidian University, where she earned her Ph.D. in Computer Science and Technology in June 2020. During her doctoral studies, she focused on computational techniques for analyzing biomolecular data, particularly DNA genome sequences. Her early academic pursuits were marked by a strong foundation in machine learning algorithms, probability theory, and statistical methods applied to bioinformatics. Her work aimed to detect and identify variant sites or fragments within DNA, uncovering patterns with potential biological functions. This laid the groundwork for her future contributions to computational bioinformatics and genomic research.

Professional Endeavors 💼

Following the completion of her Ph.D., Dr. Li worked at Alibaba Group from July 2020 to June 2022. Here, she was responsible for researching user growth algorithms for business-to-business (B2B) applications. Her work contributed to key innovations in user engagement, earning her the Core Innovation Technology Award. This professional experience allowed her to bridge the gap between theoretical research and real-world applications. After her tenure at Alibaba, she continued her academic journey by completing postdoctoral research at Xidian University in June 2024, solidifying her expertise in computational techniques and bioinformatics.

Contributions and Research Focus 🔬

Dr. Li's research is at the intersection of machine learning, computer vision, computational bioinformatics, and cancer genome data mining. Her primary focus is on analyzing biomolecular data to reveal biological insights hidden within DNA sequences. She employs comprehensive machine learning algorithms and probabilistic methods to detect variant sites or identify DNA fragments, helping to uncover biological patterns that may play a role in diseases such as cancer. Dr. Li is particularly passionate about integrating statistical tests with advanced machine learning models to improve accuracy in genome sequence prediction.

Impact and Influence 🌍

Dr. Li's work has had a significant impact on the field of bioinformatics and genomic research. By developing algorithms that can detect variant sites in the DNA genome, her contributions are pivotal in understanding complex genetic diseases, especially cancer. Her research also aids in the development of precision medicine, where targeted therapies can be crafted based on an individual’s genetic makeup. The practical implications of her research extend to biotechnology companies, healthcare providers, and academic institutions focused on genomics.

In addition to her research, Dr. Li's efforts to contribute to the academic community are reflected in her involvement with prestigious journals such as "Digital Signal Processing", "IEEE/ACM Transactions on Computational Biology and Bioinformatics", and "Biomedical Optics Express". Her papers have been widely cited, making her a respected voice in the fields of computational biology and bioinformatics.

Academic Cites and Recognition 📚

Dr. Li’s research has been widely recognized within the academic community. Her contributions to bioinformatics and computational techniques have been cited in major international journals, reinforcing her reputation as a leader in the field. Her publications in well-respected journals, such as IEEE/ACM Transactions on Computational Biology and Biomedical Optics Express, have garnered attention for their innovative approaches to cancer genome data mining and DNA sequence analysis. These citations are a testament to her academic influence and the relevance of her work to both fundamental and applied science.

Technical Skills 🛠️

Dr. Li’s expertise spans several domains of computational science, particularly in the application of machine learning algorithms, probability theory, and statistical methods. She is highly skilled in using these techniques to detect variant sites, identify fragments in DNA genomes, and mine cancer genomic data. Her proficiency with computer vision methods further strengthens her research capabilities, allowing her to work with complex biological data sets. Dr. Li is also adept at leveraging sequence prediction models to enhance the accuracy of her findings.

Teaching Experience 👩‍🏫

Dr. Li has shared her knowledge and expertise through her involvement in teaching and mentoring students. While her focus has been on cutting-edge research, she has also contributed to the academic growth of her students, guiding them through complex topics in bioinformatics, machine learning, and computational biology. Her ability to simplify intricate scientific concepts has made her a respected mentor, and she continues to inspire the next generation of researchers in her field.

Legacy and Future Contributions 🔮

Dr. Li's legacy is one of blending advanced computational techniques with real-world biomedical applications. Her work has already made a substantial impact in the field of genomic research, particularly in cancer genomics, and has the potential to revolutionize how diseases are diagnosed and treated. Looking to the future, she aims to further expand the applications of machine learning in genomic research and bioinformatics, exploring new methods for early detection of genetic diseases. She is also committed to advancing the precision medicine field, ensuring that personalized healthcare strategies are built on robust genomic data analysis.

Final Thoughts 🌟

Dr. Yaoyao Li is a trailblazer in computational bioinformatics, and her research has already had a profound impact on the scientific community. With her expertise in machine learning, bioinformatics, and cancer genomics, she is poised to continue making significant contributions that will not only advance academic knowledge but also improve health outcomes through precision medicine. Her journey is a testament to the power of combining computational technology with biological science to solve some of the most pressing challenges in modern healthcare.

📖Notable Publications

CNV_MCD: Detection of copy number variations based on minimum covariance determinant using next-generation sequencing data

Authors: Li, Y., Yang, F., Xie, K.
Journal: Digital Signal Processing: A Review Journal
Year: 2024

Intelligent scoring system based on dynamic optical breast imaging for early detection of breast cancer

Authors: Li, Y., Zhang, Y., Yu, Q., He, C., Yuan, X.
Journal: Biomedical Optics Express
Year: 2024

CONDEL: Detecting Copy Number Variation and Genotyping Deletion Zygosity from Single Tumor Samples Using Sequence Data

Authors: Yuan, X., Bai, J., Zhang, J., Li, Y., Gao, M.
Journal: IEEE/ACM Transactions on Computational Biology and Bioinformatics
Year: 2020

DpGMM: A Dirichlet Process Gaussian Mixture Model for Copy Number Variation Detection in Low-Coverage Whole-Genome Sequencing Data

Authors: Li, Y., Zhang, J., Yuan, X., Li, J.
Journal: IEEE Access
Year: 2020

BagGMM: Calling copy number variation by bagging multiple Gaussian mixture models from tumor and matched normal next-generation sequencing data

Authors: Li, Y., Zhang, J., Yuan, X.
Journal: Digital Signal Processing: A Review Journal
Year: 2019

SM-RCNV: A statistical method to detect recurrent copy number variations in sequenced samples

Authors: Li, Y., Yuan, X., Zhang, J., Bai, J., Jiang, S.
Journal: Genes and Genomics
Year: 2019

Duk-Hwa Kwon | Molecular Biology | Best Researcher Award -1610

Dr. Duk-Hwa Kwon | Molecular Biology | Best Researcher Award

Chonnam National University Medical School, South Korea

👨‍🎓Profiles

🎓 Early Academic Pursuits

He began his academic journey in biotechnology, earning his B.S. degree from Chonnam National University, Gwangju, Korea, between 2002 and 2007. Building on his passion for the life sciences, he pursued an M.S. in Biotechnology at the same institution from 2007 to 2009. His early academic endeavors laid a strong foundation in the principles of biological sciences, molecular mechanisms, and biotechnological applications.

🏛️ Professional Endeavors

Following his academic training, He advanced to a Ph.D. in Biomedical Sciences (2011–2014) at Chonnam National University's Medical School. Post-graduation, he transitioned to a postdoctoral fellowship in the Department of Pharmacology at the same university, where he has been serving since 2014. In this role, Dr. Kwon has collaborated on cutting-edge pharmacological research, contributing significantly to the university's academic and scientific reputation.

🔬 Contributions and Research Focus

His research has primarily focused on the intersection of biotechnology and pharmacology. His work has explored molecular mechanisms underlying diseases, drug discovery, and the development of innovative therapeutic strategies. He has contributed to understanding biomedical pathways, significantly advancing pharmacological knowledge and biomedical applications.

🌍 Impact and Influence

His academic and professional contributions have had a profound impact on the fields of biotechnology and pharmacology. By combining foundational biotechnology knowledge with clinical applications, he has addressed critical health challenges, providing innovative solutions to modern medical problems. His work continues to influence the direction of pharmacological research globally.

📚 Academic Citations

As a researcher, He has accumulated a noteworthy number of citations, reflecting the academic community's recognition of his impactful research. His publications have appeared in prestigious journals, marking him as a key contributor to his field.

🛠️ Technical Skills

He possesses advanced technical skills in biotechnology and pharmacology, including molecular biology techniques, drug screening methods, and cell culture systems. His expertise also spans advanced pharmacological modeling and data analysis.

🧑‍🏫 Teaching Experience

In addition to his research roles, He has contributed to academic teaching. His mentorship of students and involvement in laboratory training have helped shape the next generation of researchers and scientists in biotechnology and pharmacology.

🌟 Legacy and Future Contributions

His dedication to biomedical sciences and pharmacology positions him as a leading figure in his field. His legacy lies in his ability to bridge the gap between biotechnology and clinical applications, ensuring that his contributions continue to benefit academia and industry. Looking forward, Dr. Kwon is poised to expand his research into innovative therapies, furthering advancements in healthcare and biomedical science.

📖Notable Publications

MDM2 E3 ligase-mediated ubiquitination and degradation of HDAC1 in vascular calcification

Authors: DH Kwon, GH Eom, JH Ko, S Shin, H Joung, N Choe, YS Nam, HK Min, ...
Journal: Nature Communications
Year: 2016

The microRNA miR‐124 inhibits vascular smooth muscle cell proliferation by targeting S100 calcium‐binding protein A4 (S100A4)

Authors: N Choe, DH Kwon, S Shin, YS Kim, YK Kim, J Kim, Y Ahn, GH Eom, ...
Journal: FEBS Letters
Year: 2017

Estrogen-related receptor gamma induces cardiac hypertrophy by activating GATA4

Authors: DH Kwon, GH Eom, HJ Kee, YS Nam, YK Cho, DK Kim, JY Koo, HS Kim, ...
Journal: Journal of Molecular and Cellular Cardiology
Year: 2013

Characterization of circular RNAs in vascular smooth muscle cells with vascular calcification

Authors: J Ryu, DH Kwon, N Choe, S Shin, G Jeong, YH Lim, J Kim, WJ Park, ...
Journal: Molecular Therapy-Nucleic Acids
Year: 2020

PP2A negatively regulates the hypertrophic response by dephosphorylating HDAC2 S394 in the heart

Authors: S Yoon, T Kook, HK Min, DH Kwon, YK Cho, M Kim, S Shin, H Joung, ...
Journal: Experimental & Molecular Medicine
Year: 2018

Long noncoding RNAs in vascular smooth muscle cells regulate vascular calcification
Authors: G Jeong, DH Kwon, S Shin, N Choe, J Ryu, YH Lim, J Kim, WJ Park, ...
Journal: Scientific Reports
Year: 2019