Our focus is developing AI models for early detection of Acute Myeloid Leukemia (AML) and Acute Lymphoblastic Leukemia (ALL). The group is actively involved in reproducing results published by various researchers, and developing new models and algorithms for the same.

In addition to helping students progress in their education, our initiative helps gain recognition for student's involvement in the fight against leukemia. Through our roles as Intel Innovators, students may also get opportunities to present their work at technology events & conferences.

Our students communicate with our team remotely as our student program is an online initiative, Research Interns can participate from anywhere in the world.


The Peter Moss Leukemia AI Research Student Program is entirely free! Approved students will learn how to develop AI for medical use cases using open source tools. We use free and open tools for our work like Google Colaboratory and Microsoft Azure Notebooks. The students get to work with latest deep learning frameworks like TensorFlow, PyTorch, MxNet etc.

Apply to the Peter Moss Leukemia AI Research Student Program



Apply to the Peter Moss Leukemia AI Research Student Program



Meet The Student Program Leads

Find out about our Student Program Leads.

Shriya Narang

Shriya Narang

Secretary

Adam Milton-Barker

Adam Milton-Barker

President/Founder




Meet The Student Program Mentors

Find out about our Student Program Mentors.

Shweta Shrestha Thapa

Shweta Shrestha Thapa

Student Program Mentor

Shriya Narang

Shriya Narang

Secretary

Adam Milton-Barker

Adam Milton-Barker

President/Founder




Meet The Students

Find out about our current students.

There are currently no active students




Meet The Student Alumni

Find out about past students.

Taru Jain

Taru Jain

Pre-final year undergrad B.Tech in IT
Research Intern
Researches into Convolutional Neural Networks & Generative Adversarial Networks for clinical systems
Estela Cabezas

Estela Cabezas

BSc Biotechnology
Research Intern
Thesis case study based on the project.
Represents the project at technology events & conferences.