Ekansh Chauhan

About Me

I am currently pursuing a PhD in Cancer Sciences at Cancer Research UK (CRUK) Scotland Institute and the University of Glasgow, under the guidance of Prof. Crispin Miller and Prof. Kevin Blyth. My research focuses on understanding cell interactions within the tumor microenvironment using computational and machine learning methods to gain insights into cancer biology, specifically by developing methods to combine spatial transcriptomics and histopathology image modalities using deep learning. I am also part of the PREDICT-Meso project, a European consortium dedicated to exploring the early stages of mesothelioma development to design effective diagnostic and treatment strategies.

Previously, I completed a Master’s by Research at IIIT Hyderabad, where I worked with the Cancer Diagnostics (DIAG) lab under Prof. Vinod P.K. and Prof. C.V. Jawahar. My research focused on deep learning-based automated classification of tumors using histopathology images and collecting large datasets from partner institutions.

Earlier, as a Research Fellow at iHub Data, Hyderabad, I developed a low-parameter model for diagnosing cardiovascular diseases in resource-constrained environments, reducing input requirements to enhance its usability on edge devices. During my undergraduate studies at Maharaja Agrasen Institute of Technology, Delhi, I worked on evolutionary algorithms, COVID-19 prediction models, and environmental monitoring using machine learning during an internship at IIT-BHU.

I am passionate about addressing critical challenges in medical sciences through artificial intelligence, with a focus on cancer and other life-threatening diseases.

Research

Contrasting Low- and High-Resolution Features for HER2 Scoring using Deep Learning: An Indian Cohort Study

Ekansh Chauhan, Amit Sharma, Anila Sharma, C.V. Jawahar & P.K. Vinod

Manuscript In Preparation

Multiple Instance Learning for Glioma Subtype, Grading and IHC biomarkers using H&E Stained WSIs: An Indian Cohort Study

Ekansh Chauhan, Amit Sharma, Megha S Uppin, C.V. Jawahar & P.K. Vinod

Nature Scientific Data'24

Paper Code

Lupus Nephritis Subtype Classification with only Slide Level Labels

Amit Sharma, Ekansh Chauhan, Megha S Uppin, Liza Rajasekhar, C.V. Jawahar & P.K. Vinod

MIDL'24

Paper Code

LRH-Net: A Multi-level Knowledge Distillation Approach for Low-Resource Heart Network

Ekansh Chauhan, Swathi Guptha, Likith Reddy & Bapi Raju

MICCAI Workshop: FAIR'22

Paper Code

Work Experience

Game Theory, Bangalore

Intern

Computer Vision

May 2021 - May 2022

iHub-Data, Hyderabad

Research Fellow

Healthcare & Artificial Intelligence (HAI)

May 2021 - May 2022

UI-Educon, Delhi

Affiliated Member

Discussion/Ideation with Founders

Feb 2019 - Jul 2023

Indian Institute of Technology (BHU), Varanasi

Research Intern

IoT & Machine Learning

Jun 2020 - Jul 2020

Teaching Experience

Teaching Assistant @IIIT Hyderabad

Responsibilities included conducting regular tutorials, grading assignments and exams, creating assignment questions, and assisting with evaluations for:

• Introduction to NLP
• Advanced NLP
• Cognitive Science and AI

Visiting Senior Secondary Teacher @KGGS Surjannagar

Subjects taught:

• Mathematics
• Organic Chemistry

Education

Cancer Research UK, Scotland Institute & University of Glasgow

Doctor of Philosophy

Cancer Sciences

Nov 2024 - Current

International Institute of Information Technology, Hyderabad

Master of Science by Research | CGPA: 9.17

Computer Science and Engineering (Specialization: AI)

Thesis: Deep Learning for Cancer Subtype Classification from Histopathology Images: An Indian Cohort Study

Jan 2022 - Dec 2024

Maharaja Agrasen Institute of Technology, Delhi

Bachelor of Technology | CGPA: 8.66

Information Technology

Aug 2017 - Jun 2021

News & Announcements

• 2025

  • March: Joined MLiS as an organizer

• 2024

  • December: Publication in Nature Scientific Data
  • November: Joined CRUK SI as a PhD student
  • September: Secured a funded PhD opportunity at the Cancer Research UK Scotland Institute (CRUK SI) & the University of Glasgow (UofG)
  • July: Paper accepted at MIDL 2024
  • March: Presented a poster at the R&D Showcase

• 2023

  • May: Completed coursework and began focusing solely on research
  • January: Presented a poster at the R&D Showcase

• 2022

  • September: Paper accepted at FAIR, a MICCAI Workshop
  • May: Completed the Healthcare and AI Research Fellowship at iHub-Data
  • January: Joined the Master's by Research in CSE program at the International Institute of Information Technology, Hyderabad
  • My Master's degree is funded by the Department of Science & Technology, Govt. of India, which includes a monthly stipend 😀