Invited to serve as a Technical Program Committee Reviewer for the IEEE International Symposium on Biomedical Imaging (ISBI) 2027 🥹.

Time-lapse RESOLFT nanoscopy empowered by deep learning has been accepted to Nature Communications 😱🎉🎉! (Currently in press)

I wrote a short piece on why I think diffusion/flow step distillation methods should be used with caution in scientific imaging inverse problems. Read it here. I’d love to hear your thoughts😇!

Presenting our poster on HazeMatching at IEEE/CVF CVPR 2026 (Findings) and also at the Computer Vision for Science (CV4Science) Workshop in Denver, CO, USA. If you’re around please drop by!🎉

Super excited to be in NYC for an invited talk at Schmidt Sciences AI & Advanced Computing Institute, hosted by Suhas Mahesh.

Code, data and models for HazeMatching are now available 🎉. There is also a quickstart jupyter notebook. Please give it a try!😇

HazeMatching has been addtionally accepted as a poster to the Computer Vision for Science (CV4Science) Workshop at CVPR 2026 🎉🎉

Code, data and models for ResMatching are now available 🎉. There is also a quickstart jupyter notebook. Please give it a try!😇

Giving a talk and trying to sneak in our poster on ResMatching at IEEE ISBI 2026 in London, UK. If you’re around please drop by!

Presenting our poster on HazeMatching and ResMatching at the AI and Biology Symposium 2026 at EMBL in Heidelberg, Germany. If you’re around please drop by!

ResMatching has been selected for an oral presentation at IEEE ISBI 2026 [top 24.3% of all the submissions] 😱🎉🎉.

HazeMatching has been accepted to CVPR 2026 (Findings) 🎉🎉. Read the story here.

Wrote a short thread on why I believe Rectified Flow is not the best choice for scientific imaging inverse problems.

ResMatching has been accepted to IEEE ISBI 2026 🎉🎉. Read the story here.

Selected for poster presentation on HazeMatching and ResMatching at the AI and Biology Symposium 2026 to be held at EMBL in Heidelberg, Germany 🎉.

Preprint of RESOLFT with Deep Learning is now available 🎉

ResMatching is now on arXiv 🎉

This AI4Life project demonstarted that HazeMatching also seem to work well for image super-resolution tasks on Expansion Microscopy Data 😱

Presented HazeMatching at the Human Technopole institute Introduction to ML course

HazeMatching is now on arXiv 🎉

Presented HazeMatching at the Human Technopole institute seminar series

Attended ECCV 2024

Presented my poster at I2K 2024

TAing at DL@MBL 2024

Served as a reviewer for the AI4Life Open Call and received my official reviewer badge 😊

TAing at EMBO-DL4MIA 2024 and Invited talk at EMBO-DL4MIA 2024

Talk on OpenAI’s Sora at Human Technopole

TAing at DL4MIA 2023

TAing at DL@MBL 2023

Our team won the 3rd Place in microscopy imaging at Optical Microscopy & Imaging in the Biomedical Sciences course

Attending Optical Microscopy & Imaging in the Biomedical Sciences at the Marine Biological Laboratory, USA

Attending Light Microscopy Course at ETH, Zurich

Attended Mathematical Models for Plug-and-play Image Restoration Workshop in Paris

Officially enrolled as a PhD candidate at Technische Universität Dresden

My thoughts on the current craze of computer science among Indian Students.

I gave a talk introducing deep learning and computer vision to the students at my undergrad institution.

TAing at DL4MIA 2022

Started my PhD with Florian Jug at Human Technopole, Italy

Left my job at Hitachi Research