About Me

Hi 👋 I am a postdoctoral researcher at the Institute for Advanced Study (IAS), TU Munich, working in the AI-IDT Lab with Prof. Benedikt Wiestler and Prof. Anke Meyer-Baese (Florida State University). I completed my PhD at the Machine Learning Lab, IIIT-Hyderabad, advised by Prof. Girish Varma. My research focuses on probabilistic generative models—especially normalizing flows—theoretical machine learning, and deep learning, with applications in computer vision and medical imaging.

I spent a semester at Samsung Research with Dr. Sathya Veera Reddy Dendi and Dr. Pravin Nair on generative models for image super-resolution, and previously interned at:

• CVR Lab, University of Illinois Urbana-Champaign, with Prof. Narendra Ahuja, in collaboration with Dr. David Beiser and Dr. David Chestek at the University of Illinois College of Medicine.
• School of Mathematics and Statistics, University of New South Wales, with Prof. Rohitash Chandra and Dr. Ehsan Farahbakhsh (School of Geosciences, The University of Sydney).

I hold a B.Tech in Computer Science & Engineering from Harcourt Butler Technical University, Kanpur. I am from Greater Noida, India. Outside research, I enjoy building ML systems and reading; my book list is on Goodreads.

News and Updates

• 08/2026, MRIComp4Flow accepted at SASHIMI, a MICCAI 2026 workshop.
• 03/2026, TumorFlow accepted at MICCAI 2026.
• 12/2025, PhD thesis Fast & Efficient Normalizing Flows and Applications of Image Generative Models is now available.
• 10/2025, 3D brain tumor MRI synthesis accepted at BraTS-Lighthouse @ MICCAI 2025.
• 10/2025, Paper published in Physical Chemistry Chemical Physics: leveraging high-spin DFT features to predict spin-state gaps in 3d transition metal complexes.
• 07/2025, Started my postdoctoral position at the AI-IDT Lab, TU Munich with Prof. Benedikt Wiestler and Prof. Anke Meyer-Baese (Florida State University).
• 04/2025, Selected for the “COSPAR Outstanding Paper Award for Young Scientists, 2024” for our Geo-SAE paper.
• 02/2025, Awarded an ACM India-IARCS travel grant for AISTATS 2025.
• 01/2025, Inverse-Flow accepted at AISTATS 2025.
• 10/2024, Talk and tutorial on Vision Transformers, DRDO, India.
• 10/2024, Preprint R2I-rPPG: heart-rate extraction from video.
• 09/2024, Paper accepted at ICPR 2024, Competition on Safe Segmentation.
• 09/2024, Geo-SAE published in Advances in Space Research.
• 06/2024, Attended Climate Change AI Summer School 2024.
• 04/2024, Organized a Competition on Safe Segmentation at ICPR 2024.
• 02/2024, Selected for Oxford Machine Learning Summer School 2024.
• 09/2023, SR SOTA for Art Restoration accepted at IEEE ICETCI 2023.
• 08/2023, 1st place in the NVIDIA competition at ICETCI 2023.
• 08/2023, Awarded a one-year iHub-Data PhD Fellowship.
• 07/2023, Started an internship at Samsung R&D Institute, Bangalore.
• 06/2023, 1st place at the C4MTS Challenge, NCVPRIPG 2023.
• 03/2023, Cash prize at the ML4Science 2023 hackathon (code).
• 03/2023, Talk: “Flow models for 3D molecular generation” at ML4Science 2023.
• 02/2023, FInC Flow accepted at VISAPP 2023 (oral).
• 01/2023, Selected for Research Week with Google 2023.
• 02/2022, Awarded a one-year iHub-Data MS Fellowship.
• 12/2021, Automated Seed Quality Testing accepted at PReMI 2021.
• 07/2021, CInC Flow accepted at the 4th Workshop on Tractable Probabilistic Modeling, UAI 2021.