Yulian Ding | Molecular Basis of Genetic Disease | Best Researcher Award

Dr. Yulian Ding | Molecular Basis of Genetic Disease | Best Researcher Award

Shenzhen Institute of Advanced Technology | China

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🧬 YULIAN DING, PH.D. – PIONEER IN BIOMEDICAL ENGINEERING AND MACHINE LEARNING

EARLY ACADEMIC PURSUITS🎓

Yulian Ding embarked on her academic journey with a Bachelor of Science in Computer Science from Luoyang Normal University (2010-2014). Her passion for data science and bioinformatics was further solidified during her Master's degree in Computer Science at Shaanxi Normal University (2014-2017), where she focused on dynamic protein complex identification and essential protein identification through swarm intelligence optimization. Her research, under the guidance of Dr. Xiujuan Lei, shaped her understanding of computational biology and bioinformatics. In 2018, Yulian took her academic prowess to the next level by pursuing a Ph.D. in Biomedical Engineering at the University of Saskatchewan (2018-2022). Under the supervision of Dr. Fang-Xiang Wu, she developed advanced machine learning models to predict biomolecule-disease associations, working with miRNAs, lncRNAs, and circRNA.

PROFESSIONAL ENDEAVORS🧑‍🔬

Upon completing her Ph.D., Yulian Ding transitioned into various research roles that leveraged her expertise in both machine learning and biomedical engineering. From March 2022 to February 2023, she served as an Assistant Researcher at the Center for High Performance Computing, Shenzhen Institute of Advanced Technology, under the prestigious Chinese Academy of Sciences. Her work there focused on drug design and disease biomarker identification using machine learning techniques, contributing to major advancements in protein-ligand interaction prediction. Concurrently, Yulian completed a Postdoctoral Fellowship at the University of Saskatchewan’s College of Medicine and Division of Biomedical Engineering. She specialized in bio-data analytics, working on clinical data, particularly in identifying cirRNA biomarkers for cancer.

CONTRIBUTIONS AND RESEARCH FOCUS ON MOLECULAR BASIS OF GENETIC DISEASE🔬

Yulian Ding’s research focuses on biomedical informatics, particularly at the intersection of machine learning and biomolecular interaction. Her key contributions lie in:

  • Developing novel machine learning models for predicting disease-associated biomolecules, including miRNAs, lncRNAs, and circRNA.
  • Drug design and disease biomarker discovery, particularly through the integration of machine learning in protein-ligand interactions.
  • Enhancing the understanding of bio-data analytics in oncology, utilizing vast datasets to identify crucial molecular targets for treatment.

IMPACT AND INFLUENCE🌍

Ding's work has had significant implications in precision medicine, especially in the early detection of diseases through biomarker identification. Her research on biomolecule-disease associations and the use of machine learning for drug discovery has positioned her as a rising leader in the biomedical engineering field. Her collaboration with leading scientists and institutions, including her postdoctoral work, has influenced both academic research and practical applications in biotechnology.

ACADEMIC CITES📚

Yulian Ding has been recognized for her academic excellence through numerous prestigious awards:

  • Dr. Victor A. Pollak and Mirka B. Pollak Scholarship (2021, University of Saskatchewan)
  • Russell (Russ) William Haid Memorial Award (2020, University of Saskatchewan)
  • China’s National Scholarship for Graduate Students (2017)
  • China’s National Second Prize of Lanqiao Cup Software Design Competition (2014)
  • ACM Programming Competition Silver Medal (2014)

Her work has been published in leading academic journals and recognized by international peers in the fields of bioinformatics and computational biology. As a journal reviewer for notable journals like Neurocomputing, Knowledge-Based Systems, and PLOS Computational Biology, she has contributed to shaping future research trends.

LEGACY AND FUTURE CONTRIBUTIONS🔮

Yulian Ding's legacy is deeply intertwined with her pioneering work in biomedical engineering. By harnessing the power of machine learning, she has opened new avenues for disease diagnosis and drug development. Her future endeavors are poised to push the boundaries of biomedical innovation, with a continued focus on applying computational intelligence to solve biomedical challenges. Through ongoing research and collaboration, Yulian will undoubtedly remain at the forefront of biomedical science, contributing to innovations that bridge the gap between computation and medicine.

 FINAL THOUGHTS🏅

Yulian Ding's academic journey, professional achievements, and innovative research establish her as a significant figure in biomedical engineering. Her work continues to make impactful contributions to precision medicine and biomedical informatics, shaping the future of healthcare through cutting-edge machine learning applications.

NOTABLE PUBLICATIONS📑

"MRDPDA: A multi-Laplacian regularized deepFM model for predicting piRNA-disease associations" 

  • Authors: Liu, Y. , Zhang, F. , Ding, Y. , Li, J. , Wu, F.-X.
  • Journal: Cellular and Molecular Medicine
  • Year: 2024

"P4PC: A Portal for Bioinformatics Resources of piRNAs and circRNAs" 

  • Authors: Liu, Y., Li, R., Ding, Y., Hei, X., Wu, F.-X.
  • Journal: Bioinformatics
  • Year: 2024

"Negative sample selection for miRNA-disease association prediction models" 

  • Authors: Ding, Y. , Wang, F. , Zhang, Y. , Wu, F.-X.
  • Journal: Machine Learning Methods for Multi-Omics Data Integration
  • Year: 2023

"Biomarker Identification via a Factorization Machine-Based Neural Network With Binary Pairwise Encoding" 

  • Authors: Ding, Y. , Lei, X. , Liao, B. , Wu, F.-X
  • Journal: IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • Year: 2023

"MLRDFM: a multi-view Laplacian regularized DeepFM model for predicting miRNA-disease associations" 

  • Authors: Ding, Y. , Lei, X. , Liao, B. , Wu, F.-X
  • Journal: Briefings in Bioinformatics
  • Year: 2022

Flavio Faletra | Cardiovascular Genetics and Genomics | Best Researcher Award 

Dr. Flavio Faletra | Cardiovascular Genetics and Genomics | Best Researcher Award 

University Health Authority of Central Friuli | Italy

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Biography of Flavio Faletra: A Leader in Medical Genetics 🧬

EARLY ACADEMIC PURSUITS 🎓

Flavio Faletra began his distinguished academic journey at the University of Trieste, where he earned a Degree in Medicine and Surgery in 2005. He further specialized in Medical Genetics at the same institution, completing his specialization in 2009. Demonstrating a strong commitment to his field, Faletra pursued advanced education with a Second-level Master’s degree in Clinical Genetics from the University of Siena in 2011. His foundational academic achievements laid the groundwork for a career focused on the intersection of genetics and clinical medicine.

PROFESSIONAL ENDEAVORS 🏥

Flavio Faletra has held multiple pivotal roles in medical genetics. Since August 2023, he has been an Expert in Genetics at the Regional Health Coordination Agency (ARCS) in Friuli Venezia Giulia, Italy. Alongside his expert role, he has been a University Lecturer on contract at the University of Trieste from 2018 to 2023, contributing to the academic growth of students in the field of genetics. His professional journey includes numerous positions as a Medical Director I Level in Medical Genetics, starting with the IRCCS Burlo Garofolo (2013–2017) and progressing through roles in University Health Authority Friuli Centrale and IRCCS Burlo Garofolo until his current position, reflecting his leadership in the medical genetics field.

CONTRIBUTIONS AND RESEARCH FOCUS ON CARDIOVASCULAR GENETICS AND GENOMICS  🔬

Faletra’s research focus spans various critical areas of medical genetics, from pediatric endocrinology to rare genetic diseases. He has contributed extensively to genetic counseling and clinical genetics, with a strong emphasis on pediatric genetic disorders. His work as a Thesis Co-Surveyor and PhD Supervisor at the University of Trieste demonstrates his dedication to nurturing the next generation of geneticists. Through courses such as the Genetic Consulting in Medical Genetics Specialization School, he has shaped the landscape of medical genetics education. His involvement in pediatric endocrinology through ADE courses has brought syndromic genetic disorders to the forefront, significantly impacting the medical community’s approach to these conditions.

IMPACT AND INFLUENCE 🌍

Faletra’s influence extends beyond academia into clinical practice, where his expertise has helped shape genetic diagnostic strategies across Italy. His participation in national conferences, such as the National Congress of Human Genetics and seminars on genetic syndromes and diagnostics, marks him as a key figure in Italian medical genetics. Faletra's teaching and research efforts have particularly impacted the areas of growth retardation, fetal malformations, and syndromic genetic disorders, positioning him as a central figure in advancing genetic medicine in pediatrics.

ACADEMIC CITES 📚

Flavio Faletra's work has been cited in numerous academic publications, with topics ranging from genetic diagnostic methods to therapeutic approaches for rare genetic disorders. His research in exome sequencing and next-generation sequencing techniques has had a broad impact, being referenced widely in the fields of human genetics and pediatric medicine.

LEGACY AND FUTURE CONTRIBUTIONS 🏅

Faletra’s legacy lies in his dedication to medical genetics, particularly in the areas of pediatric syndromic diseases and clinical genetics. His contribution to education, research, and clinical practice has left an indelible mark on the field. Looking ahead, his ongoing role as an expert and lecturer promises continued contributions to genomic medicine and the advancement of personalized treatment for genetic disorders. Through his continuous involvement in research, teaching, and clinical practice, Faletra remains at the forefront of innovation in medical genetics, with the potential to further revolutionize the diagnosis and treatment of complex genetic diseases.

NOTABLE PUBLICATIONS 📑

"SRSF1 haploinsufficiency is responsible for a syndromic developmental disorder associated with intellectual disability" 

  • Authors: Bogaert, E., Garde, A., Gautier, T., Dermaut, B., Vitobello, A.
  • Journal: American Journal of Human Genetics
  • Year: 2023

"Haploinsufficiency as a Foreground Pathomechanism of Poirer-Bienvenu Syndrome and Novel Insights Underlying the Phenotypic Continuum of CSNK2B-Associated Disorders" 

  • Authors:Di Stazio, M., Zanus, C., Faletra, F., d’Adamo, A.P., Musante, L.
  • Journal: Genes
  • Year: 2023

"A new neurodevelopmental disorder linked to heterozygous variants in UNC79"

  • Authors: A., Liu, Z., Luo, S., Liao, W., & Ren, D.
  • Journal: Genetics in Medicine
  • Year: 2023

"The clinical impact of the first-trimester nuchal translucency between the 95th–99th percentiles"

  • Authors: Fantasia, I., Catagini, S., Zamagni, G., Feresin, A., & Stampalija, T.
  • Journal: Prenatal Diagnosis
  • Year: 2023

"A bird’s eye view on the use of whole exome sequencing in rare congenital ophthalmic diseases"

  • Authors: Zucco, J., Baldan, F., Allegri, L., Damante, G., Mio, C.
  • Journal: Journal of Human Genetics
  • Year: 2024

Sara Salvador | Pharmacogenomics and Personalized Medicine | Best Researcher Award

Dr. Sara Salvador | Pharmacogenomics and Personalized Medicine | Best Researcher Award

Gregorio Maranon University Hospital | Spain

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EARLY ACADEMIC PURSUITS

Since 2017, I have been dedicated to advancing the field of pharmacogenetics, beginning as a research assistant and progressing through to postdoctoral researcher at the Pharmacogenetics Laboratory of the Gregorio Marañón General University Hospital. My journey started with foundational research roles and evolved into leadership positions within various pharmacogenomic studies.

PROFESSIONAL ENDEAVORS

Starting as a research assistant, I gradually transitioned to roles as a predoctoral and postdoctoral researcher, accumulating invaluable experience and expertise in pharmacogenetics. My work has been primarily focused on pharmacogenomic studies in diverse medical areas such as colorectal cancer, multiple sclerosis, psychiatry, and intestinal inflammatory diseases.

CONTRIBUTIONS AND RESEARCH FOCUS ON PHARMACOGENMICS AND PERSONALIZED MEDICINE

Throughout my career, I have actively contributed to 21 publications in pharmacogenomics, with a particular emphasis on colorectal cancer, multiple sclerosis, psychiatry, and intestinal inflammatory diseases. Of these publications, I served as the first author for 14, showcasing my significant contributions to the field. Notably, my doctoral thesis in 2020 centered on intestinal inflammatory disease, underscoring my commitment to advancing knowledge in this area.

IMPACT AND INFLUENCE

My contributions have not gone unnoticed, as evidenced by receiving the AEFA (Spanish Clinical Laboratory Association) award for quality and innovation in 2019. Additionally, my research has been recognized through presentations at 20 national and international conferences, including 5 oral communications. I have been honored with the best oral communication award at three conferences, highlighting the impact of my work.

ACADEMIC CITES

My research has contributed to the academic discourse, with citations in various publications, further validating the significance and influence of my work in pharmacogenetics awards and related fields.

LEGACY AND FUTURE CONTRIBUTIONS

As an active member of the Spanish Society of Pharmacogenetics awards and the Spanish Association of Human Genetics, I continue to contribute to the advancement and dissemination of knowledge in these critical areas of public health. My ongoing commitment to research and collaboration ensures that my contributions will continue to shape the future of pharmacogenetics.

NOTABLE PUBLICATIONS