Rasool Lab
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Education 2011 - 2014 Ph.D. Systems Engineering Degree, University of Arkansas at Little Rock (UALR), Little Rock, Arkansas, USA. 2008 - 2010 M.Sc. Computer Engineering, Center for Advanced Studies in Engineering (CASE), Islamabad, Pakistan. 1996 - 1999 B.E. Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan |
Ghulam RasoolAssistant Professor and Member, CVGhulam Rasool, PhD, is an Assistant Member in the Departments of Machine Learning, Neuro-Oncology, and Diagnostic Imaging & Interventional Radiology at the H. Lee Moffitt Cancer Center & Research Institute. He also holds academic appointments as Assistant Professor in the Department of Oncologic Sciences at the Morsani College of Medicine, University of South Florida, and Courtesy Assistant Professor in USF’s Department of Electrical Engineering. His research focuses on developing trustworthy artificial intelligence tools for oncology through multimodal machine learning and natural language processing. His recent efforts highlight the application of large language models for structured data extraction, diagnostic reasoning, and workflow optimization in radiology and pathology, as well as the development of multimodal biomarkers for the early detection of cachexia and pancreatic cancer. Dr. Rasool’s work is supported by the NIH, NSF, Florida Department of Health, and institutional funding, and has been recognized by AACR, RSNA, and other national and international venues.
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CURRENT MEMBERS
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Education 2018 - 2023 Ph.D. in Mathematics University of Florida, Gainesville, FL. |
Iryna HartsockPostdoctoral Fellow, CVIryna received her BS and MS in Mathematics from Ivan Franko National University of Lviv, Ukraine. In 2023 Iryna graduated with her Ph.D. in Mathematics from the University of Florida. At UF she conducted research in theory and applications of Topological Data Analysis, a field that studies the shape of data using tools from topology. As a postdoctoral fellow at Moffitt, Iryna is working on development of a conversational AI for tumor boards.
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Education 2000 - 2004 Bachelor of Electrical Engineering National University of Science and Technology (NUST), Islamabad, Pakistan. |
Sabeen AhmedPh.D.
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Education 2009 - 2012 M.Sc. Computer Engineering, Center for Advanced Studies in Engineering (CASE), Islamabad, Pakistan. 2000 - 2004 Bachelor of Computer Engineering National University of Science and Technology (NUST), Islamabad, Pakistan. . |
Asim WaqasPh.D.Asim Waqas has a Ph.D. in Electrical Engineering at the University of South Florida. He is also a Graduate Research Fellow at Moffitt Cancer Center. His focus of research is machine learning and its application on oncology data. Asim has interests in graph structure of data and graph neural networks. He has multiple publications and his is working on multimodal integration of oncology data.
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Education 2018 - 2022 Bachelor of Electrical and Computer Engineering with Minor in Artificial Intelligence at the Rowan University, NJ, USA. |
Akash TripathiPh.D.Aakash has a Ph.D. in Electrical Engineering at the University of South Florida. He is also a Graduate Research Fellow at Moffitt Cancer Center. His focus of research is machine learning and its application on oncology data. Asim has interests in graph structure of data and graph neural networks. He has multiple publications and his is working on multimodal integration of oncology data.
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Education 2021 - 2023 Masters of Electrical and Computer Engineering at Rowan University, NJ, USA. 2017 - 2021 Bachelor of Electrical and Computer Engineering at Rowan University, NJ, USA. |
Nikolos KoutsoubisPh.D. Fellow
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Education 2022-2024 Masters of Electrical and Engineering at Southern Illinois University, Edwardsville, USA. 2014-2017 Bachelor of Electrical and Computer Engineering at Dr. Shariati Vocational and Technical University, NJ, USA.
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Hanieh AjamiPh.D. Fellow, CV
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Education 2021 - 2025 Biomedical Engineering B.S. at Northwestern University, IL, USA. |
Siddharth SivaramPh.D. StudentSiddharth is a first year Ph.D student at USF. He completed his undergraduate studies in biomedical engineering at Northwestern University in Evanston, IL. He is excited to learn about ML and AI in cancer detection.
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Education University of South Florida, College of Morsani, Pathology and Cell Biology, Current PGY-2
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Samir Nacer, MDPathology Resident, CVDr. Nacer is a pathology resident at USF and researcher in Dr. Rasool Ghulam’s laboratory, where his work focuses on the development and evaluation of foundation models in computational pathology. His research examines how large-scale, multimodal AI systems—ranging from image-only vision transformers to vision–language frameworks—can be applied to digital pathology tasks such as tumor classification, report generation, and biomarker prediction. At Dr. Ghulam’s lab, he has contributed to comparative analyses of emerging models like PLIP, UNI, Prov-GigaPath, Phikon, Virchow, and H-Optimus-0, as well as reviews on generative and diffusion-based architectures. He also is looking forward to piloting Honeybee for tumor spatial analysis of brain related metastases.
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Education 2021 - 2025 Biomedical Engineering B.S. at Northwestern University, IL, USA. |
Anisha NazrulPh.D. Student
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Education 2020-2024 at Old Bridge High School, New Jersey, USA |
Kavya VenkatesanResearch Intern, CV
Kavya Venkatesan is a student at Old Bridge High School. Since the age of 14, Kavya has been exploring and applying AI to large-scale issues in the aviation, healthcare, financial, and sustainability sectors. Previously, Kavya worked on graduate-level rotorcraft safety projects for the Federal Aviation Administration. As an Intern at Moffitt's Machine Learning Department, Kavya's research focuses on multimodal oncology data integration and the development of trustworthy LLMs that improve patient care.
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Education
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Sanjukta BhatacharjeeResearch Intern, CV
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Wei-Shen Chen, MD |
PAST MEMBERS
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Education Johns Hopkins University, Baltimore, MD, USA |
Ashwin MukundGraduate Student/ Intern, CV Ashwin Mukund is a graduate student majoring in Bioinformatics at Johns Hopkins University. He is passionate about the application of multiomic molecular data in machine learning models to aid in cancer diagnosis, screening, and treatment. He is currently working as an intern at Rasool lab and his focus of research is deep multimodal learning.
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Education 2022 - 2026 Bachelors in Cell Biology and Data Science at USF, FL, USA. |
Isabel UngUndergraduate Student, CV Isabel Ung is a student at the University of South Florida pursuing bachelors in Cell Biology and Data Science. She is passionate about applying AI in the field of cancer research. With a love for both wet lab work and AI she is excited to be working in Moffitt's Machine Learning department and also in an immunotherapy lab at Moffitt. In Dr. Rasool's lab, her research is focused on using reliable large language models as a resource for cancer patients and families. |
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Education 2022-2024 at Texas State University, San Marcos, TX, USA |
Sabrina KhanUndergraduate Student/ Intern, CV Sabrina Khan is an undergraduate student in Computer Science Department at Texas State University. She is currently working as an intern at Rasool lab and her focus of research is segmentation of medical images using deep neural networks.
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Executive Assistant:
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Education Johns Hopkins University, Baltimore, MD, USA |
Kylee BrownExecutive Assistant Kylee serves as the Executive Assistant for Dr. Ghulam Rasool’s lab in the Quantitative Science Division at Moffitt Cancer Center. She brings several years of experience in elementary education, where she developed strong skills in organization, communication, and program coordination. Currently, Kylee is pursuing her Master of Business Administration, further strengthening her leadership and management expertise. In her role, she supports the lab’s operations by coordinating schedules, managing contracts, and planning events, helping to advance the team’s mission of applying machine learning and AI to cancer research.
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