Dolores Di Vizio | Big Data Analytics | Best Researcher Award

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Prof Dr. Dolores Di Vizio | Big Data Analytics | Best Researcher Award

Cedars-Sinai Medical Center | United States

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👩‍⚕️ Current Positions

Prof. Dr. Dolores Di Vizio currently serves as a Professor of Surgery, Pathology & Laboratory Medicine, and Biomedical Sciences at Cedars-Sinai Medical Center, a position she has held since 2018. She also holds the title of Co-Director of the Cancer Biology Program at Cedars-Sinai since 2022, where she plays a pivotal role in driving forward interdisciplinary cancer research and translational initiatives.

✅ Suitability Summary

Prof. Di Vizio is an internationally recognized physician-scientist with a strong background in pathology, molecular biology, and oncology. Her career reflects a seamless integration of clinical insight and scientific innovation, particularly in the study of prostate and ovarian cancers. With leadership experience in multiple international societies, active roles in peer-review panels, and a robust publication and funding record, she is well-positioned to lead high-impact translational research. Her expertise in extracellular vesicles, large oncosomes, molecular diagnostics, and tumor microenvironment makes her a valuable asset to the scientific and medical community.

🎓 Education & Experience

Prof. Di Vizio earned her MD from the University of Naples Federico II in 1994, followed by a Residency in Anatomic Pathology at the same institution. She later obtained her PhD jointly from the University of Naples Federico II and Albert Einstein College of Medicine in New York in 2003. Her postdoctoral work included significant research fellowships at Dana-Farber Cancer Institute, Boston Children’s Hospital, and Harvard Medical School. Academically, she has held faculty positions at Harvard Medical School and Cedars-Sinai, where she advanced from Assistant to Associate to full Professor. Additionally, she has served as Visiting Professor at top international institutions including POSTECH (South Korea), University of Trento (Italy), and Sapienza University (Rome).

📜 Professional Development

Dr. Di Vizio has contributed significantly to institutional leadership and mentorship at Cedars-Sinai through roles on the Graduate Program Thesis Committee, Faculty Recruitment Committees, and the Graduate Education Governance Committee. She has also been deeply involved in organizing scientific symposiums and steering faculty searches in Urology, Pathology, and Radiology. Nationally and internationally, she has served as a grant reviewer for organizations such as the NIH, Department of Defense (CDMRP), Prostate Cancer UK, and the Israeli Ministry of Science. Her work on study sections and review panels reflects her thought leadership in oncology and translational medicine.

🔬 Research Focus

Prof. Di Vizio’s research centers on the biology and clinical translation of extracellular vesicles, particularly large oncosomes, in cancer progression. Her lab investigates the molecular mechanisms of EV-mediated tumor communication, explores exosomal biomarkers for cancer diagnostics, and studies the role of mitochondrial DNA haplogroups in treatment response. She is also engaged in collaborative projects focused on exosomal SPHK1 in ovarian cancer and the development of novel liquid biopsy tools.

🏆 Honors & Awards

Among her many accolades, Prof. Di Vizio was awarded the K99-R00 NIH Pathway to Independence Award, the SBUR Research Scholar Award, and the UCLA SPORE in Prostate Cancer Career Development Award. She has been an active and elected member of the Board of Directors of the International Society of Extracellular Vesicles (ISEV), where she also served as Chair of Communications and Membership. In 2023 and 2024, she chaired key ISEV conferences and workshops, and in 2025 she will chair the Gordon Research Conference on RNA Nanotechnology. Recently, she was also named the winner of the EV Super-Resolution Competition and Co-Lead for ISEV’s Blood Task Force Education & Outreach Working Group.

📚 Selected Publication

 Emerin Dysregulation Drives the Very-Small-Nuclear Phenotype and Lineage Plasticity That Associate with a Clinically Aggressive Subtype of Prostate Cancer

Authors: L. Zhang, P. Teng, K.A. Cavassani, … J. Chen, E.M. Posadas
Journal: Clinical Cancer Research
Year: 2025

A class of large cell-like extracellular vesicles

Authors: C. D’Souza-Schorey, D. Di Vizio
Journal: Nature Cell Biology
Year: 2025

Mechanisms governing lineage plasticity and metabolic reprogramming in cancer

Authors: L.M. Perez, S.V. Venugopal, A.S. Martin, … D. Di Vizio, M.R. Freeman
Journal: (Journal not specified; likely a review article in a high-impact oncology journal)
Year: 2025

ONECUT2 acts as a lineage plasticity driver in adenocarcinoma as well as neuroendocrine variants of prostate cancer

Authors: C. Qian, Q. Yang, M. Rotinen, … S.Y. You, M.R. Freeman
Journal: Nucleic Acids Research
Year: 2024

Multiparametric Single-Vesicle Flow Cytometry Resolves Extracellular Vesicle Heterogeneity and Reveals Selective Regulation of Biogenesis and Cargo Distribution

Authors: A.K. von Lersner, F. Fernandes, P.M. Ozawa, … D. Di Vizio, A. Zijlstra
Journal: ACS Nano
Year: 2024

Hepatic prohibitin 1 and methionine adenosyltransferase α1 defend against primary and secondary liver cancer metastasis

Authors: W. Fan, D. Cao, B. Yang, … H. Yang, S.C. Lu
Journal: Journal of Hepatology
Year: 2024

 Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches

Authors: J.A. Welsh, D.C.I. Goberdhan, L.R. O’Driscoll, … S.E. Andaloussi, J.D. Anderson
Journal: Journal of Extracellular Vesicles
Year: 2024

 International Society for Extracellular Vesicles workshop. QuantitatEVs: Multiscale analyses, from bulk to single extracellular vesicle

Authors: M. Basso, A. Gori, C. Nardella, … M. Cretich, F. Demichelis
Journal: Journal of Extracellular Biology
Year: 2024

 Blebs and former blebs: From surface protrusions to extracellular vesicles in cancer signalling, anoikis resistance and beyond

Authors: D. Di Vizio, M. Schoppet, A.T. Weeraratna, K.W. Witwer
Journal: Journal of Extracellular Biology
Year: 2023

 Integrating extracellular vesicle and circulating cell-free DNA analysis using a single plasma aliquot improves the detection of HER2 positivity in breast cancer patients

Authors: V. Mugoni, Y. Ciani, O. Quaini, … C. Nardella, F. Demichelis
Journal: Journal of Extracellular Biology
Year: 2023

Mohammad Belal | Policy Implications | Best Researcher Award

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Mr. Mohammad Belal | Policy Implications | Best Researcher Award

 Aalto University | Finland

Publication Profile

Google Scholar

Biography of Mr. Mohammad Belal 👨‍💻

👨‍💻 Passionate Data Science & Machine Learning Enthusiast

Mohammad Belal is a driven researcher and technology enthusiast specializing in Data Science, Machine Learning, and Natural Language Processing (NLP). With a keen interest in solving social-centric problems, he is currently pursuing his Doctoral Research at Aalto University in Finland (2023-2027). His academic journey has been marked by a constant desire to understand and leverage data for impactful solutions.

🎓 Education

Mohammad holds a Master’s in Computer Application (MCA) from Aligarh Muslim University (AMU), where he achieved a remarkable CGPA of 9.32 and was among the top 3 in his class. He was awarded the prestigious University Merit Scholarship and actively contributed as a member of the Training and Placement Team. Prior to this, he completed his Bachelor’s in Computer Application (BCA), achieving a CGPA of 7.66 while working on a cab-hiring web application project.

🔬 Research Interests and Projects

Mohammad’s research interests revolve around exploring the intersection of technology and society. His ongoing research at Aalto University focuses on the association between internet usage and psychological well-being. He has previously worked on several impactful projects, including a study of social media usage by regional and national journalists with The News Lab at IIITD, and a sentiment analysis project during Colombia’s national strike using NLP techniques. His work on clustering the neighborhoods of Toronto based on cost of living using machine learning is a testament to his practical skills in data science.

💼 Professional Experience

his professional career, Mohammad has gained extensive experience in data science and business analysis. As a Data Scientist at TCNS Clothing Ltd., he worked on predictive modeling, sales reporting automation, and data-backed decision-making for marketing and sales. He also worked as a Data Analyst for CraftBazar, where he assisted in generating insights from sales data. Additionally, Mohammad has experience as a Web Developer at The Wings of Desire, where he managed the company website and supported event organization, as well as a Content Creator for UC Browser.

🗣️ Workshops and Conferences

Mohammad has actively participated in various workshops and conferences to stay updated in his field. He attended the Responsible AI for Peace and Security conference organized by the United Nations in 2024 and participated in discussions on the ethics of disruptive technology at IIITD Delhi. He has also attended workshops on Data Science using Python and Cyber Security, further strengthening his skills in these areas.

🎓 MOOCs and Certifications

To further his expertise, Mohammad has earned numerous online certifications in data science and machine learning, including a Data Science Professional Certificate from IBM and Neural Networks and Deep Learning from DeepLearning.AI. He has also completed specialized courses in Statistics for Data Science with Python and Computational Thinking for Problem Solving from Coursera and the University of Pennsylvania.

🏆 Awards & Achievements

Throughout his academic journey, Mohammad has been recognized for his outstanding performance. He received the Merit-cum-Means Scholarship from the Indian Government for three consecutive years during his Master’s program. His academic excellence was further acknowledged with a University Merit Scholarship at AMU.

📚 Top Notes Publications

Leveraging ChatGPT as Text Annotation Tool for Sentiment Analysis

    • Authors: M Belal, J She, S Wong

    • Journal: arXiv preprint

    • Year: 2023

Islamophobic Tweet Detection Using Transfer Learning

    • Authors: M Belal, G Ullah, AA Khan

    • Journal: 2022 International Conference on Connected Systems & Intelligence (CSI)

    • Year: 2022

Rapid Face Mask Detection and Person Identification Model Based on Deep Neural Networks

    • Authors: AA Khan, M Belal, G Ullah

    • Journal: International Conference on IoT, Intelligent Computing and Security: Select

    • Year: 2023

Indian Healthcare Infrastructure Analysis During COVID-19 Using Twitter Sentiments

    • Authors: N Fatima, M Belal, K Kumar, R Sadaf

    • Journal: 2022 International Conference on Decision Aid Sciences and Applications

    • Year: 2022

Adapting to Change and Transforming Crisis into Opportunity-Behavioral and Policy Shifts in Sustainable Practices Post-Pandemic

    • Authors: E Zaidan, L Cochrane, M Belal

    • Journal: Heliyon

    • Year: 2025