Current Team

Satyam Dubey

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Phone:
Fax:
E-mail: ude.ui@yebudbs

Education
I am a Master’s student in Data Science at Indiana University, Bloomington. I hold a Bachelor’s degree in Computer Engineering from VESIT, Mumbai.

Background
My research spans biomedical AI, large-scale NLP, and scalable ML infrastructure. At the CNS Lab, I am currently working on building scalable pipelines for cell segmentation using models such as SAM and DeepCell, combined with Docker, Kubernetes, and MLflow for reproducibility. Prior to this, I spent a year as a full-time researcher at Jio Institute in India, where I developed self-supervised pipelines for ultrasound imaging using spectral representations and attention-based models to improve generalization across multi-organ datasets. Earlier, at the Indian Statistical Institute, Kolkata, I worked as a Research Intern in the Biomedical Imaging Lab, developing advanced color normalization methods for H&E stained images and confirming HSI as the most effective channel for enhancing breast cancer cell detection. I also gained experience in enterprise AI during my internship with Ernst & Young, where I contributed to transformer-based NLP pipelines and speech analysis systems for compliance and risk monitoring. My current research interests include vision-language models, diffusion models, and 3D scene understanding, with a strong focus on applying these tools to advance biomedicine.

Personal
Outside of work, I balance my time between the soccer field and the endless AI debates on X. Following voices like Karpathy, LeCun, and Goodfellow often pulls me into late-night rabbit holes that spark new ideas and keep me curious.