I joined the AIML group at Genentech Research & Early Development!

New Modern Pathology paper evaluating how computational pathology can be used in a clinical setting to improve NGS workflows

[Link]

Guest talk @CVPR'20 Medical Computer Vision Workshop

[MCV]

Joined Tempus Labs to continue working on machine learning applications to precision medicine!

Won Roche's Digital Pathology Hackathon & will be presenting at Roche's advanced analytics network event on our digital pathology work for oncology!

[Link]

Received the 2018 CIPPRS Doctoral Dissertation Award for my PhD dissertation!

Thanks to all CRV organizers and to my supervisor Prof. Ghassan Hamarneh.

[SFU, CRV]

Guest talk at the Bay Vision - Computer Vision, DL & AI in the Bay Area organized by RSIP Vision

[Video]

Joined the digital pathology team at Roche-genentech!

Successfully defended my PhD thesis!

Thank you to the committee (Prof. Anant Madhabushi, Prof. Greg Mori, Prof. Martin Ester and Prof. Ghassan Hamarneh) for the fantastic discussion and to all MIAL friends for joining :)

[Thesis]

New poster presentation at SFU's Women in Health Symposium, 2017: Artificial Pathologists: Machine Learning Models for Histopathology.

[Poster]

Interviewed as "women in science" by the MICCAI 2016 Daily Magazine.

Thanks Ralph Anzarouth for featuring me!

We released a web-API for our work on automatic diagnosis of ovarian carcinoma digital histopathology slides.

[Link]

Our work on ovarian carcinomas diagnosis was featured on the frontpage of the Vancouver Sun!

Presentation on " Computer Vision and Machine Learning in Digital Pathology: Teaching Computers to Interpret Histopathology Images" at OVCARE (BC's Ovarian Cancer Research Team)