Galluccio Tiziana | Biologist Geneticist | Women Researcher Award

Mrs. Galluccio Tiziana | Biologist Geneticist | Women Researcher Award

DIRIGENTE at IRCCS Ospedale Pediatrico Bambino Gesù, Italy

Tiziana Galluccio is an accomplished biologist with extensive experience in immunogenetics and molecular diagnostics. She holds multiple positions, including her current role as a permanent biologist at OPBG Ospedalepediatrico Bambin Gesù in Rome. With a background in both research and clinical practice, she has contributed to several key research projects, particularly in the field of HLA typing and chimerism. Galluccio’s work spans across various prestigious institutions, such as the Mediterranean Institute of Hematology and the S. Lucia Hospital, contributing significantly to genetic research related to neurodegenerative diseases and genetic mutations. She has participated in groundbreaking studies focused on Duchenne muscular dystrophy and movement disorders. Over the years, she has earned recognition for her work in molecular diagnostics, gene research, and clinical applications, marking her as a leader in her field. Galluccio has consistently demonstrated her expertise in both research and diagnostics, making significant contributions to the understanding and treatment of genetic diseases, as well as to the development of novel diagnostic tools.

Professional Profile

Education

Tiziana Galluccio has a solid academic background with a degree in Biology obtained from the University of “Roma Tre” in 2002, where she focused on virology and the study of the transcription factor Ets-1 in erythroid differentiation. In addition to this, Galluccio pursued further academic qualifications, including a Ph.D. in Cellular and Molecular Biology from the University of Tor Vergata, which cemented her specialization in cellular biology. She also qualified as a medical geneticist with a specialization in Human Genetics from the University of “La Sapienza” in Rome. Her commitment to ongoing professional development led her to engage in specialized courses and competitions in medical genetics, further deepening her expertise in the field. Galluccio also holds qualifications as a registered biologist, and her academic journey reflects a deep commitment to exploring and understanding the genetic underpinnings of various diseases, particularly neurodegenerative disorders.

Professional Experience

Tiziana Galluccio’s professional career spans a wide range of roles across esteemed institutions in Italy, contributing to both research and clinical practices. Her most recent role has been as a biologist at OPBG Ospedalepediatrico Bambin Gesù, where she focuses on immunogenetics and transplant biology, specifically working on HLA typing and chimerism. Prior to this, she worked for nearly a decade at the Mediterranean Institute of Hematology in Rome, where she was responsible for various research tasks, including gene analysis for neurodegenerative diseases. Additionally, Galluccio has participated in research as a freelancer in various private organizations and institutions. Her role at the IRCCS Foundation Hospital Maggiore Polyclinic Mangiagalli and Regina Elena Hospital involved molecular diagnostics, including studies on complex genetic rearrangements, while her tenure at the CSS-Mendel Institute of Rome further bolstered her expertise in genetics related to movement disorders. Galluccio’s broad experience in both private and public sector roles highlights her multifaceted expertise in genetic research, molecular diagnostics, and laboratory management.

Research Interests

Tiziana Galluccio’s research interests lie primarily in the field of immunogenetics, particularly focusing on transplant biology, genetic diagnostics, and neurodegenerative diseases. Her work involves studying HLA typing and chimerism, which are vital for understanding immune compatibility in transplants. She has also made significant contributions to the genetic study of neurodegenerative conditions such as Parkinson’s disease and Joubert syndrome. Galluccio has explored candidate genes related to conditions such as Duchenne muscular dystrophy and tuberous sclerosis, aiming to uncover the genetic factors involved in these disorders. Her passion for understanding complex genetic diseases is reflected in her research efforts, which aim to improve diagnostic methods and therapeutic approaches. Additionally, Galluccio has shown a deep interest in using molecular techniques to investigate genetic mutations related to infertility, further demonstrating the breadth of her expertise.

Research Skills

Tiziana Galluccio’s research skills are extensive and include a solid command of molecular genetics and bioinformatics techniques. Her expertise in HLA typing and chimerism is central to her work in immunogenetics, where she applies cutting-edge laboratory methods to study transplant compatibility and immune responses. Galluccio is also highly skilled in molecular diagnostics, utilizing various laboratory tools to detect genetic mutations, especially in the context of neurodegenerative diseases and inherited disorders. Her ability to analyze complex genetic data through bioinformatics, coupled with her practical experience in experimental validation using model organisms, reflects her strong scientific and analytical abilities. Furthermore, her involvement in research related to neurodegenerative diseases and gene mutations demonstrates her deep understanding of molecular biology and genetics, equipping her to drive significant advancements in the field.

Awards and Honors

Tiziana Galluccio has received multiple recognitions throughout her career, highlighting her contributions to genetic research and molecular diagnostics. One of her significant achievements includes winning competitive research grants, such as those from the IRCCS Foundation Hospital Maggiore Polyclinic Mangiagalli and Regina Elena, where she conducted pioneering studies on Duchenne muscular dystrophy. Galluccio has also earned specialized research awards in molecular diagnostics, as well as scholarships for her research in human genetics and neurodegenerative diseases. Her dedication to advancing scientific knowledge has earned her acknowledgment within the scientific community, particularly for her work on the genetics of movement disorders. These honors reflect her commitment to excellence in research and her continued efforts to improve understanding and treatment options for genetic diseases.

Conclusion

Tiziana Galluccio is a highly skilled biologist whose career spans research, diagnostics, and genetic studies, particularly in the fields of immunogenetics and neurodegenerative diseases. Her extensive professional experience and academic background demonstrate a deep commitment to scientific advancement. Galluccio’s research contributions, particularly in the areas of HLA typing and chimerism, as well as her work on genetic disorders, position her as an invaluable contributor to the field. Her research skills, particularly in molecular genetics and diagnostics, have made a lasting impact on the understanding of complex diseases. Despite her achievements, further strengthening her collaborative efforts and exploring international research partnerships could enhance the global impact of her work. Galluccio’s proven track record of scientific inquiry, coupled with her recognition within the medical and scientific communities, solidifies her as a top contender for the Best Researcher Award.

Publication Top Notes

  1. Publication: Characterisation of the novel HLA-DQA1*01:02:24 allele by sequencing-based typing
    Authors: Cargou, M., Andreani, M., Galluccio, T., Ralazamahaleo, M., Visentin, J.
    Year: 2024
    Citations: 2
  2. Publication: Identification of the novel HLA-C*07:1132 allele by next-generation sequencing
    Authors: Galluccio, T., Cerretti, R., Battarra, M., Giustiniani, P., Andreani, M.
    Year: 2024
    Citations: 2
  3. Publication: Identification of the novel HLA-B*27:276 allele by next-generation sequencing
    Authors: Tiziana, G., Paola, G., Annalisa, G., Francesca, B., Marco, A.
    Year: 2024
    Citations: 2
  4. Publication: Identification of the novel HLA-A*30:221 allele by next-generation sequencing
    Authors: Galluccio, T., Giustiniani, P., Di Luzio, A., Testa, G., Andreani, M.
    Year: 2024
    Citations: 2
  5. Publication: Identification of the novel HLA-DPA1*01:130 allele by next-generation sequencing
    Authors: Galluccio, T., Cerretti, R., Guagnano, A., Troiano, M., Andreani, M.
    Year: 2024
    Citations: 2
  6. Publication: Identification of the novel HLA-DPA1*02:110:02 allele by next-generation sequencing
    Authors: Galluccio, T., Battarra, M., Bianculli, A.G., Besi, F., Andreani, M.
    Year: 2023
    Citations: 2
  7. Publication: Identification of the novel HLA-DPA1*01:149 allele by next-generation sequencing
    Authors: Galluccio, T., Cerretti, R., Guagnano, A., Bianculli, A.G., Andreani, M.
    Year: 2023
    Citations: 2
  8. Publication: Identification of a robust DNA methylation signature for Fanconi anemia
    Authors: Pagliara, D., Ciolfi, A., Pedace, L., Locatelli, F., Tartaglia, M.
    Year: 2023
    Citations: 1
  9. Publication: Characterization of the novel HLA-DPA1*01:159 allele by sequencing-based typing
    Authors: Cargou, M., Andreani, M., Galluccio, T., Wojciechowski, E., Visentin, J.
    Year: 2023
    Citations: 2
  10. Publication: Identification of the novel HLA-DPB1*1328:01 allele by next-generation sequencing
    Authors: Tiziana, G., Franco, C., Paola, G., Antonio Giuseppe, B., Marco, A.
    Year: 2023
    Citations: 2

 

Elham Nazari | Biology and Genetics | Best Researcher Award

Assist Prof Dr. Elham Nazari | Biology and Genetics | Best Researcher Award

Shahid beheshti university of medical science, Iran

Dr. Elham Nazari is a prominent researcher in bioinformatics and medical informatics, with a strong academic background including a Ph.D. and Postdoc from Mashhad University of Medical Sciences. Her research focuses on integrating machine learning, big data analysis, and multi-omics approaches to identify biomarkers and prognostic indicators in various cancers, including colorectal, gastric, and pancreatic. Dr. Nazari has published extensively in reputable journals such as Current Bioinformatics and Scientific Reports, showcasing her expertise in applying advanced computational methods to healthcare problems. Her work also includes contributions to understanding the impact of big data and digital innovation on healthcare systems. Dr. Nazari’s research has been supported by multiple grants, and she has been recognized for her scholarly achievements, including awards for her research and presentations. Her skills in using tools like SPSS, R, and Python underscore her proficiency in handling complex data analyses.

Profile

Education

Elham Nazari’s educational background reflects a robust foundation in bioinformatics and medical informatics. She earned her Bachelor of Science in Computer Engineering from Azad University of Kermanshah in 2006. Building on this foundation, she pursued a Master of Science in Medical Informatics at Tarbiat Modares University of Tehran, completing her degree in 2015. Her academic journey continued with a PhD in Medical Informatics from Mashhad University of Medical Sciences, which she obtained in 2021. Her research interests and expertise were further expanded through a Postdoctoral Fellowship in Bioinformatics at Mashhad University of Medical Sciences, which she completed in 2023. This extensive educational experience underpins her significant contributions to the field of bioinformatics and her proficiency in integrating machine learning and big data analysis in medical research.

Professional Experience

Elham Nazari is an accomplished researcher with a solid foundation in medical informatics and bioinformatics. She completed her postdoctoral training in Bioinformatics at Mashhad University of Medical Sciences in 2023, following a PhD in Medical Informatics from the same institution in 2021. Prior to her doctoral studies, she earned a Master’s degree in Medical Informatics from Tarbiat Modares University in Tehran (2015) and a Bachelor’s in Computer Engineering from Azad University of Kermanshah (2006). Her professional experience includes extensive research in machine learning, big data analysis, and bioinformatics, with notable projects focusing on cancer biomarker identification and predictive modeling. Nazari’s work has been supported by multiple research grants and has resulted in numerous peer-reviewed publications and conference presentations. Additionally, she has taught technical courses in visual basic and software applications at various institutions. Her diverse expertise and research contributions highlight her significant impact in the field of medical informatics.

Research Interest

Elham Nazari’s research interests are centered on the integration of bioinformatics and machine learning to advance medical and healthcare outcomes. Her work predominantly focuses on utilizing machine learning algorithms for identifying biomarkers and understanding the molecular mechanisms underlying various cancers, including gastric, colorectal, and pancreatic cancers. She is deeply involved in data science and big data analysis, leveraging these tools to enhance RNA and DNA sequencing techniques. Additionally, Nazari’s research extends to multi-omics analysis, where she applies computational methods to integrate and analyze complex biological data. Her expertise encompasses bioinformatics, with a particular emphasis on developing predictive models and discovering novel diagnostic and prognostic markers. By combining her skills in bioinformatics with cutting-edge machine learning techniques, Nazari aims to improve early detection and treatment strategies for cancer and other diseases.

Research Skills

Elham Nazari possesses a robust set of research skills that significantly contribute to her field of bioinformatics and medical informatics. Her expertise in machine learning and data science is evident through her extensive work in developing predictive models and identifying biomarkers using advanced computational techniques. Nazari’s proficiency in big data analysis allows her to handle and interpret large datasets, which is crucial for her research in RNA and DNA sequencing. Her skill set includes using bioinformatics tools for multi-omics analysis, enhancing her ability to uncover complex patterns and relationships in biological data. She is adept with a range of software such as SPSS, R, Python, and Weka, facilitating her analysis and modeling tasks. Her research experience spans various applications, including cancer biomarker identification and health data analytics, showcasing her versatility and depth in the domain.

Award and Recognition

Elham Nazari has garnered significant recognition for her contributions to the field of medical informatics and bioinformatics. Notably, she was honored as a selective and excellent student and researcher at the Festival Professor Hesabi in 2019, highlighting her outstanding achievements and academic prowess. Additionally, she received the Best Poster Award at the Second National Conference of Medical Informatics in 2018, underscoring her excellence in presenting innovative research. Nazari’s work is widely acknowledged in the academic community, as reflected in her extensive publication record and active participation in cutting-edge research projects. Her innovative use of machine learning and big data analysis in healthcare continues to earn accolades, reflecting her dedication and impact in advancing the field. Her contributions are further supported by a strong online presence and recognition from peers, showcasing her prominent role in advancing medical informatics and bioinformatics.

Conclusion

Elham Nazari is a strong candidate for the Research for Best Researcher Award due to her extensive research output, innovative use of technology, and active engagement in impactful projects. Her expertise in bioinformatics and machine learning, coupled with her robust academic background, positions her as a leading figure in her field. Addressing areas for improvement, such as increasing public engagement and expanding research focus, could further enhance her already impressive profile.

Publications Top Notes

  1. The Therapeutic Impact of Programmed Death–1 in the Treatment of Colorectal Cancer
    • Authors: P.S. Sangani, S. Yazdani, G. Khalili-Tanha, E. Nazari, A. Avan
    • Year: 2024
    • Journal: Pathology Research and Practice
  2. Emerging Potential Value of Long Non-Coding RNAs as Biomarkers and Therapeutic Targets in Pancreatic Cancer
    • Authors: Z. Haghshenas, F. Shaban, G.A. Ferns, E. Nazari
    • Year: 2024
    • Journal: Annals of Pancreatic Cancer
  3. The Prognostic, Diagnostic, and Therapeutic Impact of Long Noncoding RNAs in Gastric Cancer
    • Authors: A. Ghorbani, F. Hosseinie, S. Khorshid Sokhangouy, E. Nazari, A. Avan
    • Year: 2024
    • Journal: Cancer Genetics
  4. Colorectal Cancer Stem Cell Biomarkers: Biological Traits and Prognostic Insights
    • Authors: A. Soleimani, N. Saeedi, A.M. Al-Asady, A. Avan, S.M.H. Mehr
    • Year: 2024
    • Journal: Current Pharmaceutical Design
    • Citations: 1
  5. The Therapeutic Application of Hydrogen in Cancer: The Potential and Challenges
    • Authors: M.N. Khiji, F. Arghidash, G.K. Tanha, E. Nazari, A. Avan
    • Year: 2024
    • Journal: Current Pharmaceutical Design
    • Citations: 1
  6. Bioinformatics Analysis and Machine Learning Approach Applied to the Identification of Novel Key Genes Involved in Non-Alcoholic Fatty Liver Disease
    • Authors: E. Nazari, G. Khalili-Tanha, A. Asadnia, M.A. Kiani, A. Avan
    • Year: 2023
    • Journal: Scientific Reports
    • Citations: 1
  7. Down Regulation of Cathepsin W is Associated with Poor Prognosis in Pancreatic Cancer
    • Authors: F. Khojasteh-Leylakoohi, R. Mohit, N. Khalili-Tanha, J. Batra, A. Avan
    • Year: 2023
    • Journal: Scientific Reports
    • Citations: 4
  8. Breast Cancer Prediction Using Different Machine Learning Methods Applying Multi Factors
    • Authors: E. Nazari, H. Naderi, M. Tabadkani, H. Tabesh, A. Avan
    • Year: 2023
    • Journal: Journal of Cancer Research and Clinical Oncology
    • Citations: 3
  9. Identification of ZMYND19 as a Novel Biomarker of Colorectal Cancer: RNA-Sequencing and Machine Learning Analysis
    • Authors: G. Khalili-Tanha, R. Mohit, A. Asadnia, E. Nazari, A. Avan
    • Year: 2023
    • Journal: Journal of Cell Communication and Signaling
    • Citations: 2
  10. Prognostic Value of Primary Tumor Location in Colorectal Cancer: An Updated Meta-Analysis
    • Authors: H. Gholamalizadeh, N. Zafari, M. Velayati, E. Nazari, A. Avan
    • Year: 2023
    • Journal: Clinical and Experimental Medicine
    • Citations: 2