About us

We are a group of young professionals aiming to develop computational tools for extracting insights from various biomedical data modalities. Our lab conducts leading interdisciplinary research in the fields of image processing, computer vision, and machine learning for imaging and multi-modal data.

Our team works together with clinicians, biologists, medical doctors with the common goal of accelerating data-driven discovery and facilitating bench-to-bedside translational science with special emphasize in the pediatrics domain.

We are data modality-agnostic, discipline-agnostic, tools-agnostic and love challenges posed by messy real-world big-data. We are also fun-loving, but serious data-wranglers so please do not hesitate to contact if you would like to join us!

Our Lab is a Data and Research Parasite Lab!

Diversity & Inclusion

The Prasath Lab is committed to maintaining a safe and inclusive environment for everyone, regardless of race, age, gender, gender identity, sexual orientation, religion, nationality, socio-economic status, or physical/mental ability. We will continuously strive to attain equity in research by promoting a respectful lab environment and being transparent in our work. We believe that open, honest communication, professionalism in science, and a diverse workforce allows us to create new ideas and excel academically.

Flexible Working Hours

We have flexible working hours:

While as a PI I may be sending emails/messages outside my normal office hours, I have no expectation to receive a reply outside yours.

With the COVID pandemic, we encourage our lab members to work flexibly for any reason, including working remotely. It is the policy of the Prasath Lab that lab members are self-motivated already and can chose to deviate from a traditional lab set-up to meet our collective research goals. Work hours are up to each lab member and we welcome work-related messages on platforms we use - Emails, WhatsApp, MS Teams, Zoom, Slack,... - however no lab member is required to reply to these outside their 'work hours'.