Zhiyi Su | RNA Sequencing | Best Researcher Award

Chinese Academy of Forestry | China

Author Profile

🌱 Biography of Zhiyi Su

🎓 EARLY ACADEMIC PURSUITS

Born on January 2002 in Zhanjiang, Guangdong, Zhiyi Su displayed an early passion for academic excellence. Pursuing her education with dedication, she earned an academic master’s degree specializing in Forest Tree Genetics and Breeding, a field that intertwines environmental conservation and genetic innovation. Her formative years laid a strong foundation for her future contributions to forestry and genetics research.

💼 PROFESSIONAL ENDEAVORS

Zhiyi has taken on pivotal roles during her academic journey:

Minister of the Literature and Art Department of the Postgraduate Student Union at the Nanjing Branch of the Graduate Department of the Chinese Academy of Forestry.
Study Committee Member at the same institution, where she played a key role in fostering academic collaboration and excellence.

🌳 CONTRIBUTIONS AND RESEARCH FOCUS ON RNA SEQUENCING

Zhiyi Su’s research emphasizes Forest Tree Genetics and Breeding, a critical area that contributes to sustainable forestry and biodiversity preservation. Her work involves applying advanced genetic techniques to improve tree resilience, enhance growth rates, and support ecological stability.

🌍 IMPACT AND INFLUENCE

As an active party member, Zhiyi integrates her professional work with her political and social responsibilities, promoting initiatives that align with environmental stewardship and national development goals. Her leadership roles have inspired fellow students and colleagues to actively participate in academic and extracurricular endeavors.

📚 ACADEMIC CITATIONS

While the details of her academic publications remain undisclosed, Zhiyi’s focus on forest tree genetics positions her as a promising contributor to this specialized field. Future citations will undoubtedly reflect the relevance and applicability of her work in genetics and breeding programs.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

Zhiyi Su’s legacy is marked by her leadership within academic organizations and her dedication to sustainable forestry research. Moving forward, she is expected to pioneer breakthroughs in genetics, contribute to biodiversity preservation, and mentor the next generation of forestry researchers.

📝 CONCLUSION

Zhiyi Su exemplifies a blend of academic rigor, leadership, and environmental consciousness. Her journey from Zhanjiang to a specialized focus on forest tree genetics highlights her commitment to impactful research and community engagement. 🌟

📑NOTABLE PUBLICATIONS

"Exploring the Genetic Basis of Calonectria spp. Resistance in Eucalypts"

Authors: Zhiyi Su; Wanhong; Yan Lin; Jianzhong Luo; Guo Liu; Anying Huang
Journal: Current Issues in Molecular Biology
Year: 2024

Mr. Muhammed Dawood | Pharmacogenomics and personalized medicine | Best Researcher Award

Computer Science Department | United Kingdom

Author Profile

Google Scholar

EARLY ACADEMIC PURSUITS

Muhammad Dawood's academic journey began with a Bachelor's in Computer Software Engineering from the University of Engineering and Technology (UET) Peshawar, Pakistan, where his thesis explored a novel approach for Quran learning using Neuro-Linguistic Programming (NLP) and Total Physical Interaction (TPI) in handheld devices. He continued his studies with a Master's in Computer Science from the Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, focusing on the analysis of hurricane satellite imagery.

PROFESSIONAL ENDEAVORS

Following his master's, Dawood gained teaching and industrial experience. As a Lecturer at the Department of Software Engineering, University of Science & Technology Bannu, Pakistan, he taught various courses, supervised undergraduate final year projects, and served as a coordinator. Additionally, he worked as a Machine Learning Engineer at INTAQSOL Islamabad, Pakistan, before embarking on his Ph.D. journey at the TIA Research Centre, Computer Science Department, University of Warwick.

CONTRIBUTIONS AND RESEARCH FOCUS ON PHARMACOGENOMICS AND PERSONALIZED MEDICINE

Dawood's contributions span a diverse range of projects, reflecting his expertise in computational pathology, genomic data science, machine learning, and software engineering. Notable projects include gene expression prediction, cellular composition prediction, and drug sensitivity prediction from histology images. His research also delves into hurricane intensity prediction, personalized aesthetic-based apparel recommendation, and sentiment analysis of Twitter tweets.

IMPACT AND INFLUENCE

Muhammad Dawood's impactful work is underscored by numerous achievements. He secured a fully funded studentship for his Ph.D. studies from GlaxoSmithKline and received the Best Paper Award at ICCV CDpath 2021. His teaching contributions as a Graduate Teaching Assistant at the University of Warwick further showcase his commitment to academic excellence.

ACADEMIC CITES

Dawood's research, particularly in the field of computational pathology and genomics, has likely garnered attention within the academic community. While specific citation metrics are not provided, his Best Paper Award at ICCV CDpath 2021 suggests recognition and appreciation for the quality of his work.

LEGACY AND FUTURE CONTRIBUTIONS

As a fourth-year Ph.D. student, Dawood's legacy includes a diverse portfolio of projects that contribute to the understanding of cellular processes, cancer therapy personalization, and drug design. His future contributions are anticipated to further advance the fields of machine learning, computational pathology, and genomic data science, leaving a lasting impact on personalized medicine and beyond.

Notable Publications

SlideGraph+: Whole slide image level graphs to predict HER2 status in breast cancer 2022(47)

Deep-PHURIE: deep learning based hurricane intensity estimation from infrared satellite imager 2020(37)

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting 2023(5)