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 Rasool

Assistant Professor and Member, CV

Dr. Rasool's research is focused on building robust, trustworthy, safe, and fair AI for improving cancer care.  His lab is developing deep and machine learning models for integrating multi-modal, multi-resolution, heterogeneous datasets to answer clinically relevant questions and optimize treatment decisions for personalized cancer care.

Positions

2022-present Assistant Member, Department of Machine Learning, Department of Neuro-Oncology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA.

2022-present Assistant Professor, Department of Oncologic Sciences, Morsani College of Medicine, and Department of Electrical Engineering, University of South Florida, Tampa, FL, USA.

2019 - 2022 Assistant Professor (tenure track), Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA.

2018 - 2019 Lecturer, Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA.

2017 - 2018 Adjunct Lecturer, Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA.

Iryna Hartsock

Postdoctoral Fellow, CV

Iryna 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.

Education

2018 - 2023 Ph.D. in Mathematics University of Florida, Gainesville, FL.

Education

2000 - 2004 Bachelor of Electrical Engineering National University of Science and Technology (NUST), Islamabad, Pakistan.

Sabeen Ahmed

Ph.D. Fellow

Sabeen Ahmed is in her fourth year of Ph.D. and has recently transferred from Rowan University to join Moffitt Cancer Center. Sabeen’s research focus is to provide mechanisms for self-assessment and failure detection in clinical predictions pertaining to segmentation and classification tasks. She has a published paper on detecting failure in medical imaging where she has used Bayesian deep neural networks to build two different failure detection mechanisms. She plans to extend her work by optimizing failure detection for cancer imaging datasets. Sabeen has worked on time-series datasets and implemented Bayesian uncertainty quantification in LSTMs. She has an archive paper on Transformer tutorial that covers the mathematical intuition behind Transformer operations. The tutorial covers the adaptations proposed in the architecture for various time-series tasks and shares the best practices for training Transformers.

Aakash Tripathi

Ph.D. Fellow, CV

Aakash Tripathi is a Ph.D. student in Electrical Engineering at the University of South Florida. He is a Graduate Research Fellow at Moffitt Cancer Center, where he conducts machine learning research under Dr. Ghulam Rasool. Aakash has published papers in conferences and journals. His research focuses on multimodal datasets for oncology. He received his B.S. in Electrical and Computer Engineering from Rowan University.

Education

2018 - 2022 Bachelor of Electrical and Computer Engineering with Minor in Artificial Intelligence at the Rowan University, NJ, USA.

Wei-Shen Chen, MD

Ashwin Mukund

Graduate 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.

Education

Education

2022 - 2026 Bachelors in Cell Biology and Data Science at USF, FL, USA.

Isabel Ung

Undergraduate 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.

Sabrina Khan

Undergraduate 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.

Education

Kavya Venkatesan

Research 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.

Education

Kara Zupancic, BS

Executive Assistant

Kara originally started with Moffitt's Diversity team back in 2018. She holds a bachelor’s degree in Teaching and Training Technical Professionals from the University of Akron in Akron, Ohio and has working previously at Louis Stokes Cleveland VA Medical Center as a Pharmacy Administrative Support Clerk, as well as, SummaCare, Inc. as a Project Specialist in Medical Records and Data Management. She is responsible for all administrative tasks within our department and team.