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

 

 

Paul Cullen | Genetics | Best Researcher Award

Dr. Paul Cullen | Genetics | Best Researcher Award

Doctorate at University at Buffalo, United States

Dr. Paul Cullen is a Professor in the Department of Biological Sciences at the University at Buffalo, specializing in molecular genetics and cell biology. He completed his postdoctoral training at the Institute of Molecular Biology at the University of Oregon, where he worked on MAP kinase (MAPK) signaling pathways, funded by grants from the American Heart Association and the National Institutes of Health (NIH). Dr. Cullen earned his Ph.D. in Molecular Genetics from Washington University in Saint Louis, where his research focused on bacterial nitrogen control proteins. He holds a Bachelor of Science in Biological Sciences from the University of Illinois at Urbana-Champaign, graduating Magna Cum Laude with Distinction. Dr. Cullen’s research interests revolve around understanding the regulation of cellular differentiation and signaling pathways, particularly in yeast. He has received numerous accolades, including the UB Exceptional Scholar’s Award and the Distinguished Postdoc Mentor Award. His work is supported by multiple NIH grants, and he has contributed significantly to the scientific community through publications and mentorship.

Education

Dr. Paul Cullen holds an impressive educational background in the field of biological sciences and molecular genetics. He earned his Bachelor of Science degree in Biological Sciences from the University of Illinois, Urbana-Champaign, graduating Magna Cum Laude with Distinction in 1990. His undergraduate thesis, titled “Effect of Ecdysone on In Vitro Pupal Wing Development in Lepidoptera,” was conducted under the supervision of Dr. Judith Willis and Dr. Johnathan Widom. Following this, Dr. Cullen pursued his Doctor of Philosophy (Ph.D.) in Molecular Genetics at Washington University, Saint Louis, completing his degree in 1997. His Ph.D. research, titled “Bacterial Nitrogen Control Proteins,” was guided by Dr. Robert G. Kranz. Additionally, from 1998 to 2004, Dr. Cullen completed postdoctoral training at the Institute of Molecular Biology at the University of Oregon, under the mentorship of Dr. George F. Sprague, Jr. His postdoctoral work was supported by prestigious grants from the American Heart Association and the National Institutes of Health (NIH), further solidifying his expertise in molecular biology.

Professional Experience

Dr. Paul Cullen has held a series of prestigious academic and research positions throughout his career. He is currently a Professor in the Department of Biological Sciences at the University at Buffalo, where he has been a faculty member since 2004. Prior to his promotion to Professor in 2017, Dr. Cullen served as an Associate Professor from 2010 to 2017 and as an Assistant Professor from 2004 to 2010. He has also held a joint appointment as Clinical Research Assistant Professor in the Department of Microbiology and Immunology since 2005. Earlier in his career, Dr. Cullen was a Senior Research Fellow at the Institute of Molecular Biology at the University of Oregon from 2000 to 2004. He has also contributed to scientific review panels, including serving as an NIH Review Panelist for Eukaryotic Pathogens in 2024. In addition to his research, Dr. Cullen has been deeply involved in academic administration, serving as the Director of Graduate Affairs for the Department of Biological Sciences from 2019 to 2024 and as a member of the Graduate School Executive Committee from 2023 to 2024.

Research Interest

Dr. Paul Cullen’s research interests focus on understanding the molecular mechanisms that regulate cellular differentiation, particularly through MAP kinase (MAPK) signaling pathways. His work explores how these pathways control cellular responses to environmental cues, with a special emphasis on the filamentous growth of Saccharomyces cerevisiae (yeast). Dr. Cullen investigates the role of cell polarity proteins in modulating MAPK signaling and how regulatory proteins influence these pathways. His research also extends to studying signal transduction in various biological systems, aiming to uncover broader implications for cellular behavior and development in eukaryotic organisms. Through his work, Dr. Cullen seeks to advance knowledge of genetic and molecular processes that underpin complex biological responses, contributing to the fields of molecular genetics, cell biology, and microbiology.

Research Skills

Dr. Paul Cullen possesses extensive research skills in molecular genetics and cell biology, particularly in the regulation of MAP kinase (MAPK) signaling pathways. His expertise includes advanced molecular techniques such as gene manipulation, protein-protein interaction studies, and genetic screening in model organisms like Saccharomyces cerevisiae. Dr. Cullen is skilled in using molecular and genetic tools to investigate cellular differentiation, signal transduction, and environmental response mechanisms. He has a strong background in high-throughput screening, microscopy, and quantitative data analysis. His research also involves cutting-edge technologies in genetic sequencing, bioinformatics, and structural biology, contributing to his deep understanding of cellular signaling networks and their implications for health and disease.

Award and Recognition

Dr. Paul Cullen has received numerous accolades for his exemplary contributions to research and education. In 2023, he was honored with the UB Exceptional Scholar’s Award for Sustained Achievement and the UB Graduate School Distinguished Postdoc Mentor Award, recognizing his significant impact in mentorship. Additionally, he received the Milton Plesur Excellence in Teaching Award in 2008 for his dedication to student learning. His active membership in professional organizations such as the American Society of Cell Biology and the American Society of Microbiology further highlights his commitment to advancing the field of molecular biology.

Conclusion

Dr. Paul Cullen’s remarkable achievements in molecular biology, sustained research contributions, and commitment to mentoring make him a distinguished figure in his field. His combination of academic excellence, leadership, and impactful research positions him as an exemplary candidate for the “Research for Best Researcher Award.”

Publication Top Notes

  • “Glucose depletion causes haploid invasive growth in yeast”
    • Journal: Proceedings of the National Academy of Sciences
    • Cited by: 444
    • Year: 2000
    • Volume: 97, Issue 25
    • Pages: 13619-13624
  • “The regulation of filamentous growth in yeast”
    • Journal: Genetics
    • Cited by: 348
    • Year: 2012
    • Volume: 190, Issue 1
    • Pages: 23-49
  • “A signaling mucin at the head of the Cdc42-and MAPK-dependent filamentous growth pathway in yeast”
    • Journal: Genes & Development
    • Cited by: 268
    • Year: 2004
    • Volume: 18, Issue 14
    • Pages: 1695-1708
  • “GTPase-activating proteins for Cdc42”
    • Journal: Eukaryotic Cell
    • Cited by: 170
    • Year: 2002
    • Volume: 1, Issue 3
    • Pages: 469-480
  • “Defects in Protein Glycosylation Cause SHO1-Dependent Activation of a STE12 Signaling Pathway in Yeast”
    • Journal: Genetics
    • Cited by: 147
    • Year: 2000
    • Volume: 155, Issue 3
    • Pages: 1005-1018
  • “Cleavage of the signaling mucin Msb2 by the aspartyl protease Yps1 is required for MAPK activation in yeast”
    • Journal: The Journal of Cell Biology
    • Cited by: 144
    • Year: 2008
    • Volume: 181, Issue 7
    • Pages: 1073-1081
  • “Secreted aspartic protease cleavage of Candida albicans Msb2 activates Cek1 MAPK signaling affecting biofilm formation and oropharyngeal candidiasis”
    • Journal: PLoS One
    • Cited by: 112
    • Year: 2012
    • Volume: 7, Issue 11
    • Pages: e46020
  • “Candida albicans biofilm development is governed by cooperative attachment and adhesion maintenance proteins”
    • Journal: NPJ Biofilms and Microbiomes
    • Cited by: 111
    • Year: 2019
    • Volume: 5, Issue 1
    • Pages: 21