Hello there! I am a PhD student in Computer Science at Arizona State University, supervised by Dr. Hannah Kerner. My current research focuses on addressing problems related to algorithmic biases and improving interpretability methods in machine learning.

Prior to my doctoral studies, I completed my MS in Computer Science (Big Data Systems) at Arizona State University. I defended my thesis on Yuksel Splines for Probabilistic Sequence Prediction. Before that, I completed my Bachelor’s in Computer Engineering at NSIT (now NSUT), University of Delhi.

My research interests include:

• Interpretability and Explainability in Machine Learning
• Algorithmic Fairness and Bias Mitigation
• Computer Vision

News

• December 2025 Paper “DPA: A one-stop metric to measure bias amplification in classification datasets” accepted to NeurIPS 2025.
  Introduces a unified metric for measuring directional bias amplification.

• June 2025 Paper “Classification Drives Geographic Bias in Street Scene Segmentation” accepted to the CVPR 2025 Workshop.
  Investigates how model classification steps can create geographic bias.

• May 2025 Paper “Helmets Labeling Crops” accepted in Scientific Data (Nature Publishing Group).
  Introduces the Kenya Crop Type Dataset created via helmet-mounted cameras and deep learning.

• August 2024 Started my PhD in Computer Science at Arizona State University.

• May 2024 Defended MS thesis “Yuksel Splines for Probabilistic Sequence Prediction” at ASU. Graduated from Masters with a 4.0 GPA.

• March 2023 Published “HEVC based tampered video database development for forensic investigation” in Multimedia Tools and Applications (Springer).

• August 2022 Started my Masters in Computer Science (Big Data Systems) at Arizona State University.

• May 2022 Graduated from NSIT (now NSUT), University of Delhi with a Bachelor’s in Computer Engineering.