Meet Our Team

Mohamed Abazeed

I lead a team of investigators who blend medicine with biology and technology to forge new paths in the fight against cancer.

Priyanka Gopal

My work delves into the complexities of therapy resistance in cancer. Through innovative experimental systems and an unwavering commitment, I aim to redefine the landscape of cancer treatment, paving the way for transformative breakthroughs in the quest for more effective therapies.

Alex Buhimschi

I’m an MD-PhD student studying cellular plasticity in small cell lung cancer. Using a blend of new experimental tools my research aims to decode the cellular plasticity that underlies the aggressive nature of this cancer, with the ultimate goal of identifying targeted therapeutic approaches.

Elliot Famili-Youth

I'm an MD-PhD student interested in the computational modeling of cell state transitions in cancer, with a focus on small cell lung cancer. I use both bioinformatic and mathematical tools to understand the underlying dynamics of this cancer.

Troy Peng

My academic journey begins with a PhD and clinical residency in medical physics. I am particularly passionate about exploring and innovating in the application of AI and computer vision techniques within the realms of radiation oncology. My goal is to leverage these cutting-edge technologies to enhance treatment efficacy and improve overall patient care in oncology.

Sagnik Sarkar

I am a graduate student pursuing a Master of Science in Artificial Intelligence (MSAI) at Northwestern University. My academic interests revolve around exploring and applying cutting-edge Deep Learning and other Machine Learning techniques, with a particular focus on segmentation and federated models. In my research, I leverage these advanced technologies to extract valuable insights and create solutions, aiming to improve processes and provide decision-making support for healthcare professionals, specifically physicians.

Zhuoyang Zou

I am a recent graduate of Northwestern University’s Masters of Science in Artificial Intelligence. My work involves the development and refinement of Deep Learning models aimed at personalizing and enhancing lung cancer treatments. I am deeply interested in the development of deep learning models for medical image analysis and the implementation of these models in routine clinical care.

Erika Ford

I am a recent graduate of Cornell University. I am currently working as a technician actively pursuing continuous learning, dedicated to expanding expertise and contributing to groundbreaking advancements in scientific research