Mr Bhavya Gandhi | Data Science for Health | Best Researcher Award |

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Mr. Bhavya Gandhi | Data Science for Health | Best Researcher Award | 

Medical Student , at Michael G. DeGroote School of Medicine , Canada.

Mr. Bhavya Gandhi is an aspiring physician-researcher with a growing reputation for his contributions at the intersection of medicine, artificial intelligence, and global health. Currently pursuing his Doctor of Medicine at the Michael G. DeGroote School of Medicine (McMaster University), he has already led and collaborated on several research projects with a strong focus on AI applications in clinical diagnostics and patient safety. Bhavya’s profile reflects a rare blend of academic excellence, innovative thinking, and research leadership, making him a standout early-career scholar in Canadian medical academia.

Professional Profile

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Education 🎓

Bhavya is currently enrolled in the Doctor of Medicine (M.D.) program at the Michael G. DeGroote School of Medicine, Hamilton Campus (2023–Present). He previously earned a Bachelor of Science at the University of Toronto (2020–2023), majoring in Biology for Health Sciences with minors in Biomedical Communication and Environmental Science. He graduated with a perfect 4.00 GPA and was recognized as a Dean’s List Scholar throughout his undergraduate studies, underscoring his academic diligence and commitment to excellence.

Experience 👩‍

Bhavya brings valuable hands-on experience from both research and clinical settings. From 2021 to 2023, he served as a Clinical Study Coordinator at Albion Finch Medical Centre, working on high-profile clinical trials for pharmaceutical companies including Moderna. This role involved responsibilities as a blinded/unblinded coordinator and pharmacist, providing him with a robust foundation in trial design and execution. Concurrently, he has held various Research Assistant and Lead Investigator roles at McMaster University and the Research Institute of St. Joe’s Hamilton, contributing to numerous interdisciplinary and collaborative studies involving AI, medication safety, and systematic reviews.

Research Interests 🔬

Bhavya’s research primarily centers on the integration of artificial intelligence and machine learning into clinical decision-making, with a focus on infectious diseases, cardiac risk prediction, and electronic medical record optimization. He has led or co-led projects examining the use of large language models (LLMs) in analyzing returning traveler infections, fever diagnostics, and AI-driven medication safety alerts. His work also extends to machine learning in myocardial injury prediction post-surgery and computational tools for evaluating prescribing competency in medical students. These contributions place him at the forefront of the evolving field of digital health and AI-enhanced clinical practice.

Awards 🏆

Among Bhavya’s accolades is the NSERC Undergraduate Student Research Award (USRA), awarded for his work in molecular neuroscience and protein interaction studies. He has also been recognized multiple times on the Dean’s List at the University of Toronto for maintaining a perfect GPA. His early leadership in impactful research projects has led to presentations at respected academic forums such as the Research Institute of St. Joe’s Hamilton and the EMRG Annual Student Seminar, further validating his scholarly contributions.

Top Noted Publications 📚

Title: Applications of Generative Artificial Intelligence in Electronic Medical Records: A Scoping Review
Authors: Leo Morjaria, Bhavya Gandhi, Nabil Haider, Matthew Mellon, Matthew Sibbald
Journal: Information
DOI: 10.3390/info16040284
Publication Year: 2025
Publication Date: April 1, 2025
Indexing: Indexed in major academic databases including Scopus, Web of Science, and MDPI

Conclusion

Bhavya Gandhi is a highly promising researcher with notable leadership, academic rigor, and innovation, especially in the emerging domain of AI in healthcare. For student, early-career, or innovation-focused research awards, Bhavya is extremely well-qualified. With a few more published works and individual accolades, Bhavya could easily rise into the top tier of emerging researchers in Canadian medical academia.

Dr Fulgencio Alatorre-Cobos | Functional Genomics | Best Review Article Award |

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Dr. Fulgencio Alatorre-Cobos | Functional Genomics | Best Review Article Award | 

Researcher , at Yucatan Scientific Research Center, Mexico.

Dr. Fulgencio Alatorre-Cobos is a distinguished plant biotechnologist specializing in molecular mechanisms, genetic circuits, and plant stress adaptation. He is currently an Investigador por México at the Unidad de Biología Integrativa, Centro de Investigación Científica de Yucatán (CICY). A Level II Member (2025-2029) of Mexico’s National System of Researchers, he actively contributes to advancing genetic transformation in non-model plants, with a focus on fiber-producing crops like Agave and Palma jipi.

Professional Profile

Scopus

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Education 🎓

Dr. Alatorre-Cobos earned his Ph.D. in Plant Biotechnology (2012) from Cinvestav-Irapuato, following a Master’s degree in Plant Biotechnology (2005) from CICY and a Bachelor’s degree in Agronomy with a specialization in Phytotechnology (2002) from the Universidad Autónoma Chapingo (UACh). His academic journey has equipped him with extensive expertise in plant genetics, molecular biology, and sustainable crop development.

Professional Experience 💼

He has held multiple research roles, including Investigador por México at CONAHCYT (2015-2022) at Colegio de Postgraduados Campus Campeche. His international experience includes research stays at the Royal Institute of Technology (KTH) in Sweden (2018), the University of Helsinki and the University of Cambridge (2013-2015), and Umeå University, Sweden (2014). He has also worked with leading research groups in Mexico, such as LANGEBIO-Cinvestav.

Research Interests 🌍

His research explores molecular and genetic mechanisms in plant development, with a strong emphasis on fiber production in traditional crops. He works on developing genetic transformation platforms for non-model plants, enabling advanced genomic studies. Additionally, he investigates plant root system responses to environmental stress, contributing to sustainability and agricultural resilience in tropical regions.

Awards & Honors 🏆

Dr. Alatorre-Cobos has received several prestigious recognitions, including his appointment as a Level II Researcher in Mexico’s National System of Researchers (SNI). His contributions to plant biotechnology have positioned him as a key figure in genetic transformation research and agricultural sustainability.

Top Noted Publications 📚

Secondary Metabolites from Croton Species and Their Biological Activity on Cell Cycle Regulators

Authors: Jorge Augusto Alamillo-Vásquez, Claudia-Anahí Pérez-Torres, Enrique Ibarra-Laclette, Feliza Ramón-Farías, Pilar Nicasio-Torres, Fulgencio Alatorre-Cobos

Journal: Metabolites

Year: 2025

DOI: 10.3390/metabo15040216

The Return of Natural Dyes: The Case of Logwood Tree (Haematoxylum campechianum L.)

Authors: Manuel A. Chablé-Vega, Eleazar García-Hernández, Jorge E. Martínez-Heredia, José L. Villalpando-Aguilar, Jesús Arreola-Enríquez, Itzel López-Rosas, Fulgencio Alatorre-Cobos

Journal: Biotechnic & Histochemistry

Year: 2024

DOI: 10.1080/10520295.2024.2367535

Non-Targeted Metabolomic Analysis of Arabidopsis thaliana (L.) Heynh: Metabolic Adaptive Responses to Stress Caused by N Starvation

Authors: Jorge David Cadena-Zamudio, Juan Luis Monribot-Villanueva, Claudia-Anahí Pérez-Torres, Fulgencio Alatorre-Cobos, José Antonio Guerrero-Analco, Enrique Ibarra-Laclette

Journal: Metabolites

Year: 2023

DOI: 10.3390/metabo13091021

Ectopic Callose Deposition into Woody Biomass Modulates the Nano-Architecture of Macrofibrils

Authors: Matthieu Bourdon, Jan Lyczakowski, Rosalie Cresswell, Sam Amsbury, Francisco Vilaplana, Marie-Joo Le Guen, Nadege Follain, Raymond Wightman, Chang Su, Fulgencio Alatorre-Cobos, et al.

Journal: Nature Plants

Year: 2023

DOI: 10.1038/s41477-023-01459-0

Morfometría y Viabilidad de Semillas de Brosimum alicastrum Sw. en Campeche

Authors: Alberto Santillán Fernández, Sandra Sugey Castañeda-Alonso, Eugenio Carrillo Ávila, Alfredo Esteban Tadeo Noble, Jaime Bautista Ortega, Javier Enrique Vera López, Fulgencio Alatorre-Cobos

Journal: Revista Mexicana de Ciencias Forestales

Year: 2023

DOI: 10.29298/rmcf.v14i77.1345

Conclusion

Dr. Alatorre Cobos has a strong foundation in plant biotechnology and a notable international research profile, making him a competitive candidate. To maximize his chances, he should showcase high-impact review publications, their influence in the field, and citation metrics. If his review articles are highly cited and contribute significantly to advancing plant biotechnology knowledge, he stands a solid chance of winning.

Prof. Dr Fadia El Sherif | Plant biotechnology | Women Researcher Award |

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Prof. Dr. Fadia El Sherif | Plant biotechnology | Women Researcher Award | 

Department of biological science, at King Faisal University, Saudi Arabia.

Prof. Dr. Fadia Mohamed Youssef Askar El Sherif is an esteemed plant physiologist and biotechnologist, specializing in stress physiology, micropropagation, and plant genetic engineering. With a career spanning three decades, she has made significant contributions to plant biotechnology, medicinal plant research, and sustainable agriculture. She has held academic positions at Suez Canal University, Egypt, and King Faisal University, Saudi Arabia, fostering international collaborations and mentoring the next generation of researchers.

Professional Profile

Scopus

Orcid

Google Scholar

Education 🎓

Ph.D. in Floriculture & Biotechnology (2009) – Suez Canal University, Egypt & University of Hamburg, Germany

M.Sc. in Floriculture (1997) – Suez Canal University, Egypt

B.Sc. in Agricultural Science (1993) – Suez Canal University, Egypt

Professional Experience 💼

Professor, Department of Horticulture – Suez Canal University, Egypt (Since 2019)

Assistant Professor, Department of Biological Sciences – King Faisal University, Saudi Arabia (2013–2022)

Visiting Scholar – Institute of Forest Genetics, University of Hamburg, Germany (2006–2008)

Associate Professor, Horticulture Department – Suez Canal University, Egypt (2014–2019)

Assistant Lecturer & Demonstrator – Suez Canal University, Egypt (1993–2014)

Throughout her career, she has taught undergraduate and postgraduate courses and supervised multiple research projects in plant physiology, biotechnology, and horticulture.

Awards & Honors 🏆

International Publishing Award (2013–2023) – Suez Canal University, Egypt

Recognized for outstanding research contributions in plant biotechnology

Numerous supervised M.Sc. and Ph.D. students, shaping the future of agricultural biotechnology

Top Noted Publications 📚

Effect of gamma irradiation on enhancement of some economic traits and molecular changes in Hibiscus sabdariffa L. – F. El Sherif, S. Khattab, E. Ghoname, N. Salem, K. Radwan – 89 citations – Life Science Journal – 2011

Foliar application of Moringa oleifera leaves extract altered stress-responsive gene expression and enhanced bioactive compounds composition in Ocimum basilicum – M.A. Alkuwayti, F. El-Sherif, Y.K. Yap, S. Khattab – 50 citations – South African Journal of Botany – 2020

Silybum marianum L. plants under abiotic elicitation: Silybin content and overexpression of chalcone synthase genes – H.A.S. El-Garhy, S. Khattab, M.M.A. Moustafa, R. Abou Ali, A.Z.A. Azeiz, F. El-Sherif – 45 citations – Plant Physiology and Biochemistry – 2016

Aloe vera leaf extract as a potential growth enhancer for Populus trees grown under in vitro conditions – F. El Sherif – 42 citations – American Journal of Plant Biology – 2017

Effect of manure and bio-fertilizers on growth, yield, silymarin content, and protein expression profile of Silybum marianum – E.G. Ismail, W.W. Mohamed, S. Khattab, F.E. Sherif – 42 citations – International Journal of Medicinal and Aromatic Plants – 2013

Conclusion

Dr. El Sherif is a highly qualified researcher with a strong publication record, international exposure, and leadership in plant biotechnology and physiology. She is a suitable candidate for the Research for Women Researcher Award, especially if she can highlight her research impact, citations, and leadership roles in more detail.

Mr Ernesto Diaz | Data Scientist | Best Researcher Award

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Mr Ernesto Diaz |  Data Scientist | Best Researcher Award

Assistant Specialist at University of California, San Francisco – Radiology & Biomedical Imaging , United States.

Ernesto Diaz is an accomplished researcher and data scientist specializing in biomedical imaging and artificial intelligence applications in healthcare. With a strong background in medical imaging, deep learning, and data science, he has contributed significantly to Hyperpolarized Carbon-13 MRI research, cancer imaging, and radiation oncology. His work has been recognized through prestigious NIH awards, peer-reviewed publications, and multiple conference presentations. Passionate about advancing healthcare technology, Ernesto combines technical expertise with a commitment to mentorship and diversity in STEM.

Professional Profile

Orcid

Education 🎓

Ernesto earned his Bachelor of Science in Computer Science from San Francisco State University in 2022, graduating with Dean’s List honors (2020-2022). His education provided a strong foundation in programming, data analysis, and computational research, which he has applied extensively in biomedical imaging and artificial intelligence projects.

Professional Experience 💼

  • As a Data Scientist at UCSF’s Department of Radiology and Biomedical Imaging, Ernesto leads software development for medical imaging analysis, enhancing data processing and visualization tools. His previous research experience includes working on automated radiation treatment planning and bioinformatics coding for population health studies. His contributions have improved efficiency in clinical workflows and advanced AI applications in medical imaging.

Research Interests 🌍

His research revolves around Hyperpolarized Carbon-13 MRI, deep learning for medical image segmentation, and automation in radiation oncology. At UCSF, he developed a DICOM standardization tool for metabolic imaging and co-developed a U-Net deep learning model for prostate cancer segmentation. Additionally, he has explored health disparities in underserved communities, analyzing COVID-19’s impact on marginalized populations.

Awards & Honors 🏆

  • NIH Diversity Supplement Award (2022-2024) – Recognized for contributions to Hyperpolarized 13C MRI research.
  • NIH-SF BUILD Scholar (2021-2022) – Selected for leadership potential and commitment to diversity in research.
  • Dean’s List (2020-2022) – Awarded for academic excellence at San Francisco State University.

Top Noted Publications 📚

Title: Deep Learning-Based Tumor Segmentation of Murine Magnetic Resonance Images of Prostate Cancer Patient-Derived Xenografts

Authors: Satvik Nayak, Henry Salkever, Ernesto Diaz, Avantika Sinha, Nikhil Deveshwar, Madeline Hess, Matthew Gibbons, Sule Sahin, Abhejit Rajagopal, Peder E. Z. Larson, et al.

Journal: Tomography

Publication Year: 2025

DOI: 10.3390/tomography11030021

Indexing: Indexed in major scientific databases.

Conclusion

Ernesto Diaz is a rising leader in medical imaging research, blending AI, data science, and biomedical imaging to drive innovation. With his technical skills, research excellence, and dedication to mentorship, he continues to push the boundaries of healthcare technology and scientific discovery. 🚀