Mo Jafari

Head of AI and Software -
Computational Design
at Aspect Biosystems

About Me

This is Mohammad Jafari. Currently, I work as the Head of AI and Software - Computational Design at Aspect Biosystems, a Canadian company driving advancements in bioprinting tissue therapeutics. I graduated with my PhD from the University of British Columbia (UBC), Vancouver, where I worked under the supervision of Profs. Purang Abolmaesumi, Robert Rohling, and Teresa Tsang, researching robust machine learning methods for healthcare data analysis. After PhD, I worked at Harvard Medical School as a machine learning scientist, working under supervision of Profs. Tina Kapur, Sandy Wells, and Ofer Pasternak at Harvard's Laboratory of Mathematics in Imaging, researching design and development of robust deep learning models for multi-modal image and video analysis and healthcare data mining. I finished my MSc and BSc in software engineering at IUT, where I worked under supervision of Prof. Shadrokh Samavi in collaboration with Prof. Kayvan Najarian at University of Michigan, Ann Arbor, developing machine learning algorithms for computer-assisted diagnosis of skin cancer. 

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Research Interests

I am passionate about multi-modal machine learning, foundation models, and data science. My research keywords are listed below. 

Technical research keywords: Computer Vision, Deep Learning, Semi-supervised Learning, Self-supervised Learning, Spatio-temporal Deep Models, Generative Models, LLMs, Adversarial Training, Image Quality Improvement, Generative Adversarial Networks, Predictive Uncertainty, Data Mining, Knowledge Discovery, Big Data in Healthcare.

Clinical research keywords: AI Accelerated Therapeutics, Therapeutics Discovery, T1D, Cardiac Disease, Brain Disease, Echocardiography, X-Ray, MRI, Data Quality Assurance, Medical Imaging, Electronic Health Record.


Research Fellow - Machine Learning
Harvard Medical School, USA. (2021- 2022)

PhD, Electrical & Computer Engineering - Machine Learning
UBC, Vancouver, Canada. (2017- 2021)
GPA: 4.33/4, A+, (1st-Class Standing)

MSc, Computer Engineering - Software
IUT, Iran. (2014 - 2017)
4.0/4, (Ranked 1st among 30)

BSc, Computer Engineering - Software
IUT, Iran. (2010 - 2014)
GPA: 3.70/4, (Ranked 3rd among 100)

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Receiving the Governor General's Gold Medal
for AI research in healthcare.

UBC News

Award Link

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Recording lectures of the EECE 571T course titled "Advanced Machine Learning Tools for Engineers" with Prof. Yedlin at UBC studios. Lectures available on YouTube

Honored to be the recipient of the ImFusion Artificial Intelligence Translational Medicine Award, Rennes, France. More

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UBC RCL Group at MICCAI Conference

Office address:
        1750 W 75th Ave
        Vancouver, BC V6P 6G2