PHD RESEARCHER · WASHINGTON UNIVERSITY IN ST. LOUIS

Uttkarsh Chaurasia

AI researcher and builder.

I combine images, language, and domain knowledge to build systems for medical imaging and assistive technology. At WashU, my PhD research focuses on multimodal segmentation with limited labeled data.

01 / FLAGSHIP PROJECTS

Medical imaging. Assistive vision.

All projects & explorations

02 / MY JOURNEY

From physical interfaces to multimodal AI.

More about me

My work has grown from building physical interfaces to studying how machines interpret images and language. At NIT Hamirpur, I worked on brain-controlled devices, robotics, and assistive vision. With Drishti, I connected computer vision to hardware and went on to co-found Oculosense, serving as CTO from 2021 to 2023.

Alongside that product work, I explored word sense disambiguation, graph-based text classification, and conditional image generation. I joined CMIT Lab at WashU for summer research in 2022 and returned for my PhD in 2023. Today, I develop multimodal segmentation methods and TheraSeg, the software that brings those methods into an inspectable imaging workflow.

  1. 2018–2022

    Building interfaces and machines

    Brain-controlled devices, gesture-controlled robots, and hands-on engineering at NIT Hamirpur.

  2. 2020–2023

    Assistive vision and entrepreneurship

    The Drishti navigation prototype, followed by co-founding Oculosense and leading technical development as CTO.

  3. 2021–2023

    Language, graphs, and generation

    Word sense disambiguation, inductive GNN research at LBR Research Labs, and my conditional-GAN master’s thesis.

  4. 2022–Present

    Computational medical imaging

    Summer research at CMIT Lab, followed by my PhD at WashU and current work on segmentation and TheraSeg.

03 / SELECTED RESEARCH

From images to language and graphs.

Research & publications

How can anatomical priors, language context, and learned representations help when supervision is limited? My work explores this question through medical imaging, word sense disambiguation, and graph-based text classification.

04 / RECOGNITION & COMMUNITY

Recognition and community.

All honors & awards

Sharing the work.

I’ve taught imaging mathematics, linear algebra, and digital image processing. Through ScienceCoach, I coordinated eight graduate volunteers for hands-on engineering sessions with 22 high-school students and four teachers.

05 / GET IN TOUCH

Let’s talk research and building.

I’m interested in research collaborations and opportunities involving multimodal learning, computer vision, and useful AI systems.

[email protected] · St. Louis, Missouri