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. 

Asim Waqas

Ph.D.

Asim Waqas is a Ph.D. student 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.

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.

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

Sanjukta Bhattacharjee

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

Kylee Brown

Executive Assistant