Curriculum Vitae

EDUCATION

Doctor of Philosophy – AI for Medical Diagnosis and Care
University of Leeds 2022 — Present

• Thesis Title: A virtual patient to support medical training
• EPSRC PhD Studentship
• Expected completion: Oct 2026

Master of Computer Applications
University of Delhi 2019 — 2022

• Thesis Title: XAI-based Biomarker Discovery for Breast Cancer Stratification using Multi-Omics Data
• \(1^{st}\) Class Honours (79.1%)

B.Sc. (Hons) Computer Science
University of Delhi 2016 — 2019

• Indraprastha College for Women
• \(1^{st}\) Class Honours (84.5%)

SELECT EXPERIENCE

Teaching Assistant

School of Computer Science, University of Leeds Oct 2023 – Present

• COMP5122M Data Science
  Module Lead: Dr Duygu Sarikaya
• COMP2121 Data Mining
  Module Lead: Prof Eric Atwell
• COMP5840M Data Mining and Text Analytics
  Module Lead: Prof Eric Atwell
• COMP2611 Artificial Intelligence
  Module Lead: Dr Brandon Bennett

Researcher

Data Study Group, Alan Turing Institute Dec 2023 – Dec 2023

A short research project the UK Centre for Ecology & Hydrology to develop machine learning solutions for biodiversity monitoring. REPORT, DATASET

• Developed methods for analysing correlations between weather variables and species abundance for moth populations.
• Produced interactive data visualisations to highlight spatial distribution patterns for different species to promote stakeholder engagement.

Fellow

Data Science for Social Good Foundation and University of Warwick Jun 2022 – Aug 2022

DSSGx fellowship project with UNICEF and Save the Children UK to predict multi-dimensional child poverty in Sub-Saharan Africa.

• Built a Python package to produce high-resolution poverty estimates using multimodal data and Demographic and Health Surveys (DHS) to ground predictions of the machine learning model(s).
• Developed an autoencoder for extracting features from Google Earth Engine rasters and produced uncertainty estimates through conformal prediction.
• Results from this work were presented at the UN World Data Forum 2023 and visualisations are available on STC’s Child Atlas.

RECENT AWARDS

• People’s Choice Prize, Research Spotlight Competition, London Hopper Colloquium (2025)
• Finalist, Research Presentation Competition, BFWG (2025)
• 1st place, The Easy Read Image Generation Hackathon, Leeds Digital Health (2025)
• Travel Grant for AI UK, The Alan Turing Institute (2023)

TECHNICAL SKILLS

• Languages: Python, R, C++, SQL, HTML/CSS, JavaScript, LaTeX.
• Frameworks & Tools: Git, Slurm, Tensorflow, PyTorch, Keras, Transformers, Scikit-Learn, Streamlit, Quarto.