I am Utkarsh Prakash Srivastava, a Machine Learning Researcher passionate about building systems that connect rigorous mathematics with real-world impact. My research journey began in India, where I worked with Prof. Palash Goshal on biomedical imaging problems, learning how machine learning could push the frontiers of healthcare. Later, I was fortunate to spend a summer in Nagoya, Japan, under Prof. Toshiaki Fujii, exploring region-of-interest coding for advanced medical image compression. These experiences gave me not just technical depth, but also the joy of working across cultures and disciplines.

Currently, I am based in New York City as a researcher at NYU Langone Health, where I collaborate with Dr. Samrachana Adhikari and the Targeted Learning Group. Together, we are studying robust statistical inference methods and building AI systems for public health and legal applications.

Along the way, I have also collaborated with startups, contributing to the development of multimodal legal document intelligence systems, and engaged with communities of researchers worldwide who share the same excitement about deep learning, natural language processing, and computer vision.

For me, research has always been about people as much as ideas - mentors who guided me, collaborators who challenged me, and institutions that gave me opportunities to grow. Each step, from India to Japan to the United States, has shaped how I see AI: not just as an algorithm, but as a tool for advancing human understanding and solving meaningful problems.

News and Timeline

2025

• February Presented our paper U-SwinTrans: A Skin Cancer Segmentation Architecture at ISACC 2025.
• May Graduated from New York University!
• June Joined the legal-AI startup - Fileread AI as a Machine Learning Engineer Intern.

2024

• June Visited Fujii Lab, Nagoya University, Japan as a Researcher funded by Japan Government.
• August Presented work on Region of interest based Medical Image compression.
• September Started working with Dr. Samrachana Adhikari at NYU Langone Health on Targetted Learning.

2023

• February Presenting our work on Breast Cancer Classification at ISACC 2023 (IEEE Conference). My First paper as first-author!
• June Graduated from Sikkim Manipal University with B.Tech (AI Hons.).
• July Presented my solo review work on Brain Tumor classification at ICCCNT, IIT Delhi (IEEE Conference).
• September Joined New York University for Masters in Computer Engineering.
• November Presented our research on GUI based Skin Cancer Tumor type classification research at IEEE Subsection Conference, India.

2022

• November My First Paper, AUTCD-Net was published at Springer Nature!

2021

• December Began collaborating with Dr. Palash Ghosal (SMU) on biomedical imaging research.