I am a Research Scientist at NYU Langone Health working with Dr. Miriam Bredella, Prof. Krzysztof Geras and Prof. Artie Shen on survival analysis, opportunistic imaging, and representation learning for medical imaging. Before this, I worked with Prof. Sumit Chopra and Prof. Krzysztof Geras on deploying end-to-end pipeline for pre-processing, training, and inference for lesion detection and classification models on multi-modal mammography scans. I have over three years of dedicated research experience in AI and medical image analysis.

Experience

Prior to my current role, I served as an Assistant Research Scientist at the NYU Center for Data Science, focusing on developing advanced deep learning methodologies for medical image analysis under the mentorship of Prof. Jacopo Cirrone. My academic journey includes a Master's degree in Computer Science from NYU (2023), where my research aimed at enhancing dense prediction and classification techniques for medical imaging. This work culminated in three notable publications, presented at two workshops (ECCV 2022, ICCV 2023) and one conference (MLHC 2023).

Education & Early Projects

I started my academic journey in Computer Science at Manipal University Jaipur, where I delved primarily into autonomous rover technology. These rovers were made for the University Rover Challenge (URC) 2020 and the International Rover Design Challenge 2020, where we emerged as international semi-finalists and secured a position in the top 30, respectively. As the AI team lead for URC 2020 and head of the CS and AI subsystem for the International Rover Design Challenge 2020, I was responsible for image classification, low-light imaging, and dense prediction modules. I have contributed to two prominent open-source projects in self-supervised learning: Facebook AI's VISSL and Lightly AI's SSL project. My work involved enhancing the input/output functionalities and implementing DeepMind's "Bootstrap Your Own Latent" approach.

Leadership & Social Impact

Beyond my technical pursuits, I co-founded the Hult Prize chapter at Manipal University Jaipur, significantly boosting the startup ecosystem and tripling the incubation rate on campus. Our efforts extended to social causes, where we successfully mobilized resources to support homeless children during the COVID-19 pandemic and the Assam-Bihar floods in 2020.

Updates

• July 2024: Our research on semi- and self-supervised learning featured in NYU Data Science's Research blog.
• May 2024: New paper titled "Shifting to machine supervision: annotation-efficient semi and self-supervised learning for automatic medical image segmentation and classification" published in Nature's Scientific Reports Journal.
• August 2023: New paper titled "Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with Autoencoders" accepted at ICCV 2023 Computer Vision for Automated Medical Diagnosis (CVAMD) and will be published in conjunction with ICCV 2023 proceedings.
• July 2023: Paper titled "Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision" accepted at Machine Learning for Healthcare and will appear in Proceedings of Machine Learning Research.
• May 2023: My research work with Prof. Jacopo Cirrone featured in NYU's Center for Data Science blog post.
• October 2022: Paper titled "CASS: Cross Architectural Self-Supervision for Medical Image Analysis" accepted at NeurIPS 2022-Self-Supervised Learning: Theory and Practice Workshop.
• August 2022: Paper titled "A Data-Efficient Deep Learning Framework for Segmentation and Classification of Histopathology Images" accepted at ECCV 2022 Medical Computer Vision and will be published in conjunction with ECCV 2022 proceedings.
• January 2021: Accepted in NYU's Masters in Computer Science program with 25% academic scholarship.
• December 2020: Paper titled "Classification of Melanoma Using Efficient Nets with Multiple Ensembles and Metadata" accepted at ICCI-2020 (IIIT-Pune)
• November 2020: Finished in the top-30 of International Rover Challenge 2020
• March 2020: Finished as international semi-finalists in URC 2020.

Awards

• NYU Academic scholarship

Teaching

• CSCI-GA 3033/DS-GA 3001 Data Science for Healthcare at New York University Center for Data Science and Courant
  Graduate Adjunct Employee with Professor Jacopo Cirrone
  Jan 2023 - May 2023
  New York, United States
• DS-GA 1007 Programming for Data Science at New York University Center for Data Science
  Grader with Professor Jeremy Curuksu
  Sep 2022 - Dec 2022
  New York, United States